192 research outputs found

    An Optoelectronic Stimulator for Retinal Prosthesis

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    Retinal prostheses require the presence of viable population of cells in the inner retina. Evaluations of retina with Age-Related Macular Degeneration (AMD) and Retinitis Pigmentosa (RP) have shown a large number of cells remain in the inner retina compared with the outer retina. Therefore, vision loss caused by AMD and RP is potentially treatable with retinal prostheses. Photostimulation based retinal prostheses have shown many advantages compared with retinal implants. In contrary to electrode based stimulation, light does not require mechanical contact. Therefore, the system can be completely external and not does have the power and degradation problems of implanted devices. In addition, the stimulating point is flexible and does not require a prior decision on the stimulation location. Furthermore, a beam of light can be projected on tissue with both temporal and spatial precision. This thesis aims at fi nding a feasible solution to such a system. Firstly, a prototype of an optoelectronic stimulator was proposed and implemented by using the Xilinx Virtex-4 FPGA evaluation board. The platform was used to demonstrate the possibility of photostimulation of the photosensitized neurons. Meanwhile, with the aim of developing a portable retinal prosthesis, a system on chip (SoC) architecture was proposed and a wide tuning range sinusoidal voltage-controlled oscillator (VCO) which is the pivotal component of the system was designed. The VCO is based on a new designed Complementary Metal Oxide Semiconductor (CMOS) Operational Transconductance Ampli er (OTA) which achieves a good linearity over a wide tuning range. Both the OTA and the VCO were fabricated in the AMS 0.35 ยตm CMOS process. Finally a 9X9 CMOS image sensor with spiking pixels was designed. Each pixel acts as an independent oscillator whose frequency is controlled by the incident light intensity. The sensor was fabricated in the AMS 0.35 ยตm CMOS Opto Process. Experimental validation and measured results are provided

    ๊ด‘ ๋‹ค์ด์˜ค๋“œ ๊ธฐ๋ฐ˜ ์ธ๊ณต ๋ง๋ง‰ ์‹œ์Šคํ…œ์„ ์œ„ํ•œ ์ €์ „๋ ฅ ์„ค๊ณ„ ๋ฐ LCP ํŒจํ‚ค์ง•์— ๋Œ€ํ•œ ์—ฐ๊ตฌ

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    ํ•™์œ„๋…ผ๋ฌธ (๋ฐ•์‚ฌ)-- ์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› : ์ „๊ธฐยท์ปดํ“จํ„ฐ๊ณตํ•™๋ถ€, 2017. 2. ๊น€์„ฑ์ค€.The retinal prosthesis is an implantable electronic device that delivers electrical stimuli containing visual information to the retina for the visual restoration of the blinds. The currently available retinal prostheses have several problems in the number of pixels. They are limited in the number of pixels, which restricts the amount of visual information they can deliver. Many research groups are trying to improve their device in this aspect. In order to achieve a significant number of pixels, retinal prosthesis needs large stimulus power dissipation. A typical device consumes more than 20 mW of power to drive 1000 channels. Some of this power can lead to temperature rise which is a safety issue. As the power dissipation scales up with the increase in the number of channels, it is desired to minimize the power per channel as much as possible. Another problem is the absence of a suitable packaging material for the long-term reliable optical window. Due to the curved and narrow implant space available for this kind of device, as well as the transparency required for the incoming wavelengths of lights, it is quite difficult to choose a material that satisfies all requirements of long-term hermetic packaging with optically transparent window. Sapphire glass with titanium metal package are too bulky and rigid, and flexible transparent polymers such as polyimide and parylene-C have high moisture absorption for the implant. This dissertation proposes strategies and methods to solve the problems mentioned above. Two stimulation strategies are proposed. One strategy is to confine the stimulus level with a threshold that cell is activated. Thus we coin it as thresholding strategy.' The other strategy is to reduce the number of stimulation channels by using only outlines of images (outline extraction strategy). Prototype ICs were designed and fabricated for the verification of the effects of these strategies. The simulation and the measurement agree to show that retinal implant with the thresholding and outline extraction strategies consumes below one-third of the stimulus power of the conventional photodiode-based devices. Area-efficient designs of the voltage-controlled current source are also adopted to increase the number of channels. The unit pixel area of the fabricated prototype IC was 0.0072 mm2, expanding up to 1200-channels in the macular area. Liquid crystal polymer (LCP) is proposed as the long-term implantable packaging material with an optical window. It is an inert, biocompatible, and flexible polymer material that has a moisture absorption rate similar to Pyrex glass. We showed that an LCP film with a thickness less than 10 ฮผm allows transmission of the lights in the visible wavelengths by more than 10 %, as the rate increases with thinner films. Thus a thinning process was developed. O2 DRIE was shown effective in reducing the roughness of the film, and the corresponding light scattering. The spatial resolution of LCP with 8.28 ฮผm thickness showed a minimum distinguishable pitch of 90 ฮผm, allowing a 1200 channel integration within a macular area.Chapter 1: Introduction 1 1.1. Retinal Prosthesis โ€“ State of the Arts 2 1.1.1. Retinal Prosthesis with External Camera 3 1.1.2. Retinal Prosthesis with Internal Photodiode Array 5 1.2. Photodiode-based Retinal Prosthesis 8 1.2.1. Problems 8 1.2.2. Possible Solutions 12 Chapter 2: Methods 17 2.1. Thresholding 17 2.1.1. Concept 17 2.1.2. Circuit Descriptions 19 2.2. Outline Extraction 28 2.2.1. Concept 28 2.2.2. Circuit Descriptions 30 2.3. Average Stimulus Power Estimation 40 2.3.1. Stimulus Patterns Generation of Conventional and Proposed Strategies 40 2.3.2. Minimum Distinguishable Channels to Recognize 41 2.4. Virtual Channel 43 2.4.1. Concept 43 2.4.2. Circuit Descriptions 44 2.5. Polymer Packaging 51 2.5.1. LCP as a Long-term Reliable Packaging Material 51 2.5.2. Test Methods 53 Chapter 3: Results 58 3.1. Thresholding 58 3.1.1. Fabricated IC 58 3.1.2. Test Setup 60 3.1.3. Test Results 61 3.2. Outline Extraction 65 3.2.1. Simulation Results 65 3.2.2. Fabricated IC 67 3.2.3. Test Setup 68 3.2.4. Test Results 72 3.3. Average Stimulus Power Estimation 76 3.4. Virtual Channels 79 3.4.1. Fabricated IC 79 3.4.2. Test Setup 80 3.4.3. Test Results 81 3.4.4. Two-dimensional Virtual Channel Generatorโ€“ Test setup and Its Result 84 3.5. Polymer Packaging 87 3.5.1. Light Transmittance according to LCP Thickness 87 3.5.2. Thickness Control of LCP 89 3.5.3. Spatial Resolution of LCP 89 Chapter 4: Discussion 92 4.1. Average Stimulus Power 92 4.2. Visual Acuity 95 4.3. Hermeticity of the Thinned LCP Film 97 Chapter 5: Conclusion and Future Directions 99 References 103 Appendix โ€“ Generated Stimulus Patterns of Various the Number of Channels 112 ๊ตญ ๋ฌธ ์ดˆ ๋ก 139Docto

    Implantable Biomedical Devices

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    Neuromorphic hardware for somatosensory neuroprostheses

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    In individuals with sensory-motor impairments, missing limb functions can be restored using neuroprosthetic devices that directly interface with the nervous system. However, restoring the natural tactile experience through electrical neural stimulation requires complex encoding strategies. Indeed, they are presently limited in effectively conveying or restoring tactile sensations by bandwidth constraints. Neuromorphic technology, which mimics the natural behavior of neurons and synapses, holds promise for replicating the encoding of natural touch, potentially informing neurostimulation design. In this perspective, we propose that incorporating neuromorphic technologies into neuroprostheses could be an effective approach for developing more natural human-machine interfaces, potentially leading to advancements in device performance, acceptability, and embeddability. We also highlight ongoing challenges and the required actions to facilitate the future integration of these advanced technologies

    FPGA design and implementation of a framework for optogenetic retinal prosthesis

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    PhD ThesisThere are 285 million people worldwide with a visual impairment, 39 million of whom are completely blind and 246 million partially blind, known as low vision patients. In the UK and other developed countries of the west, retinal dystrophy diseases represent the primary cause of blindness, especially Age Related Macular Degeneration (AMD), diabetic retinopathy and Retinitis Pigmentosa (RP). There are various treatments and aids that can help these visual disorders, such as low vision aids, gene therapy and retinal prosthesis. Retinal prostheses consist of four main stages: the input stage (Image Acquisition), the high level processing stage (Image preparation and retinal encoding), low level processing stage (Stimulation controller) and the output stage (Image displaying on the opto-electronic micro-LEDs array). Up to now, a limited number of full hardware implementations have been available for retinal prosthesis. In this work, a photonic stimulation controller was designed and implemented. The main rule of this controller is to enhance framework results in terms of power and time. It involves, first, an even power distributor, which was used to evenly distribute the power through image sub-frames, to avoid a large surge of power, especially with large arrays. Therefore, the overall framework power results are improved. Second, a pulse encoder was used to select different modes of operation for the opto-electronic micro-LEDs array, and as a result of this the overall time for the framework was improved. The implementation is completed using reconfigurable hardware devices, i.e. Field Programmable Gate Arrays (FPGAs), to achieve high performance at an economical price. Moreover, this FPGA-based framework for an optogenetic retinal prosthesis aims to control the opto-electronic micro-LED array in an efficient way, and to interface and link between the opto-electronic micro-LED array hardware architecture and the previously developed high level retinal prosthesis image processing algorithms.University of Jorda

    ์™„์ „ ์ด์‹ํ˜• ์‹œ๊ฐ ๋ณด์ฒ  ์‹œ์Šคํ…œ์„ ์œ„ํ•œ ์—ฐ๊ตฌ

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    ํ•™์œ„๋…ผ๋ฌธ(๋ฐ•์‚ฌ)--์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› :๊ณต๊ณผ๋Œ€ํ•™ ์ „๊ธฐยท์ •๋ณด๊ณตํ•™๋ถ€,2020. 2. ๊น€์„ฑ์ค€.A visual prosthetic system typically consists of a neural stimulator, which is a surgically implantable device for electrical stimulation intended to restore the partial vision of blind patients, and peripheral external devices including an image sensor, a controller, and a processor. Although several visual prosthetic systems, such as retinal prostheses or retinal implants, have already been commercialized, there are still many issues on them (e.g., substrate materials for implantable units, electrode configurations, the use of external hardware, power supply and data transmission methods, design and fabrication approaches, etc.) to be dealt with for an improved visual prosthetic system. In this dissertation, a totally implantable visual prosthetic system is suggested with four motivations, which are thought to be important, as in the following: 1) simple fabrication of implantable parts, such as micro-sized electrodes and a case, for a neural stimulator based on polymer without semiconductor techniques, 2) multi-polar stimulation for virtual channel generation to overcome a limited number of physical electrodes in a confined space, 3) a new image acquisition strategy using an implantable camera, and 4) power supply as well as data transmission to a neural stimulator without hindering patients various activities. First, polymer materials have been widely used to develop various implantable devices for visual prosthetic systems because of their outstanding advantages including flexibility and applicability to microfabrication, compared with metal, silicon, or ceramic. Most polymer-based implantable devices have been fabricated by the semiconductor technology based on metal deposition and photolithography. This technology provides high accuracy and precision for metal patterning on a polymer substrate. However, the technology is also complicated and time-consuming as it requires masks for photolithography and vacuum for metal deposition as well as huge fabrication facilities. This is the reason why biocompatible cyclic olefin polymer (COP) with low water absorption (<0.01 %) and high light transmission (92 %) was chosen as a new substrate material of an implantable device in this study. Based on COP, simple fabrication process of an implantable device was developed without masks, vacuum, and huge fabrication facilities. COP is characterized by strong adhesion to gold and high ultraviolet (UV) transparency as well. Because of such adhesion and UV transparency, a gold thin film can be thermally laminated on a COP substrate with no adhesion layer and micromachined by a UV laser without damaging the substrate. Using the developed COP-based process, a depth-type microprobe was fabricated first, and its electrochemical and mechanical properties as well as functionality were evaluated by impedance measurements, buckling tests, and in vivo neural signal recording, respectively. Furthermore, the long-term reliability of COP encapsulation formed by the developed process was estimated through leakage current measurements during accelerated aging in saline solution, to show the feasibility of the encapsulation using COP as well. Second, even if stimulation electrodes become sufficiently small, it is demanding to arrange them for precise stimulation on individual neurons due to electrical crosstalk, which is the spatial superposition of electric fields generated by simultaneous stimuli. Hence, an adequate spacing between adjacent electrodes is required, and this causes a limited number of physical electrodes in a confined space such as in the brain or in the retina. To overcome this limitation, many researchers have proposed stimulation strategies using virtual channels, which are intermediate areas with large magnitudes of electric fields between physical electrodes. Such virtual channels can be created by multi-polar stimulation that can combine stimuli output from two or more electrodes at the same time. To produce more delicate stimulation patterns using virtual channels herein, penta-polar stimulation with a grid-shaped arrangement of electrodes was leveraged specially to generate them in two dimensions. This penta-polar stimulation was realized using a custom-designed integrated circuit with five different current sources and surface-type electrodes fabricated by the developed COP-based process. The effectiveness of the penta-polar stimulation was firstly evaluated by focusing electric fields in comparison to mono-polar stimulation. In addition, the distribution of electric fields changed by the penta-polar stimulation, which indicated virtual channel generation, was estimated in accordance with an amplitude ratio between stimuli of the two adjacent electrodes and a distance from them, through both finite element analysis and in vitro evaluation. Third, an implantable camera is herein proposed as a new image acquisition approach capturing real-time images while implanted in the eye, to construct a totally implantable visual prosthetic system. This implantable camera has distinct advantages in that it can provide blind patients with benefits to perform several ordinary activities, such as sleep, shower, or running, while focusing on objects in accordance with natural eye movements. These advantages are impossible to be achieved using a wearing unit such as a glasses-mounted camera used in a conventional partially implantable visual prosthetic system. Moreover, the implantable camera also has a merit of garnering a variety of image information using the complete structure of a camera, compared with a micro-photodiode array of a retinal implant. To fulfill these advantageous features, after having been coated with a biocompatible epoxy to prevent moisture penetration and sealed using a medical-grade silicone elastomer to gain biocompatibility as well as flexibility, the implantable camera was fabricated enough to be inserted into the eye. Its operation was assessed by wireless image acquisition that displayed a processed black and white image. In addition, to estimate reliable wireless communication ranges of the implantable camera in the body, signal-to-noise ratio measurements were conducted while it was covered by an 8-mm-thick biological medium that mimicked an in vivo environment. Lastly, external hardware attached on the body has been generally used in conventional visual prosthetic systems to stably deliver power and data to implanted units and to acquire image signals outside the body. However, there are common problems caused by this external hardware, including functional failure due to external damages, unavailability during sleep, in the shower, or while running or swimming, and cosmetic issues. Especially, an external coil for power and data transmission in a conventional visual prosthetic system is connected to a controller and processor through a wire, which makes the coil more vulnerable to the problems. To solve this issue, a totally implantable neural stimulation system controlled by a handheld remote controller is presented. This handheld remote controller can control a totally implantable stimulator powered by a rechargeable battery through low-power but relatively long-range ZigBee wireless communication. Moreover, two more functions can be performed by the handheld controller for expanded applications; one is percutaneous stimulation, and the other is inductive charging of the rechargeable battery. Additionally, simple switches on the handheld controller enable users to modulate parameters of stimuli like a gamepad. These handheld and user-friendly interfaces can make it easy to use the controller under various circumstances. The functionality of the controller was evaluated in vivo, through percutaneous stimulation and remote control especially for avian navigation, as well as in vitro. Results of both in vivo experiments were compared in order to verify the feasibility of remote control of neural stimulation using the controller. In conclusion, several discussions on results of this study, including the COP-based simple fabrication process, the penta-polar stimulation, the implantable camera, and the multi-functional handheld remote controller, are addressed. Based on these findings and discussions, how the researches in this thesis can be applied to the realization of a totally implantable visual prosthetic system is elucidated at the end of this dissertation.์‹œ๊ฐ ๋ณด์ฒ  ์‹œ์Šคํ…œ์€ ์ผ๋ฐ˜์ ์œผ๋กœ ์‹ค๋ช… ํ™˜์ž๋“ค์˜ ๋ถ€๋ถ„ ์‹œ๋ ฅ์„ ์ „๊ธฐ ์ž๊ทน์œผ๋กœ ํšŒ๋ณต์‹œํ‚ค๊ธฐ ์œ„ํ•˜์—ฌ ์ˆ˜์ˆ ์ ์œผ๋กœ ์ด์‹๋  ์ˆ˜ ์žˆ๋Š” ์žฅ์น˜์ธ ์‹ ๊ฒฝ ์ž๊ทน๊ธฐ์™€ ์ด๋ฏธ์ง€ ์„ผ์„œ ๋˜๋Š” ์ปจํŠธ๋กค๋Ÿฌ, ํ”„๋กœ์„ธ์„œ๋ฅผ ํฌํ•จํ•˜๋Š” ์™ธ๋ถ€์˜ ์ฃผ๋ณ€ ์žฅ์น˜๋“ค๋กœ ๊ตฌ์„ฑ๋œ๋‹ค. ๋ง๋ง‰ ๋ณด์ฒ  ์žฅ์น˜ ๋˜๋Š” ๋ง๋ง‰ ์ž„ํ”Œ๋ž€ํŠธ์™€ ๊ฐ™์ด ๋ช‡๋ช‡ ์‹œ๊ฐ ๋ณด์ฒ  ์‹œ์Šคํ…œ์€ ์ด๋ฏธ ์ƒ์šฉํ™” ๋˜์—ˆ์ง€๋งŒ, ์—ฌ์ „ํžˆ ๋” ๋‚˜์€ ์‹œ๊ฐ ๋ณด์ฒ  ์‹œ์Šคํ…œ์„ ์œ„ํ•˜์—ฌ ๋‹ค๋ค„์ ธ์•ผ ํ•  ๋งŽ์€ ์ด์Šˆ๋“ค (์˜ˆ๋ฅผ ๋“ค์–ด, ์ด์‹ํ˜• ์žฅ์น˜์˜ ๊ธฐํŒ ๋ฌผ์งˆ, ์ „๊ทน์˜ ๋ฐฐ์—ด, ์™ธ๋ถ€ ํ•˜๋“œ์›จ์–ด์˜ ์‚ฌ์šฉ, ์ „๋ ฅ ๊ณต๊ธ‰ ๋ฐ ๋ฐ์ดํ„ฐ ์ „์†ก ๋ฐฉ๋ฒ•, ์„ค๊ณ„ ๋ฐ ์ œ์ž‘ ๋ฐฉ์‹ ๋“ฑ)์ด ์žˆ๋‹ค. ๋ณธ ํ•™์œ„๋…ผ๋ฌธ์€ ์™„์ „ ์ด์‹ํ˜• ์‹œ๊ฐ ๋ณด์ฒ  ์‹œ์Šคํ…œ์„ ์ œ์•ˆํ•˜๋ฉฐ, ์ด๋ฅผ ์œ„ํ•˜์—ฌ ๋‹ค์Œ๊ณผ ๊ฐ™์ด ์ค‘์š”ํ•˜๋‹ค๊ณ  ์ƒ๊ฐ๋˜๋Š” ์ด ๋„ค ๊ฐ€์ง€์˜ ์ด์Šˆ๋“ค๊ณผ ๊ด€๋ จ๋œ ์—ฐ๊ตฌ ๋‚ด์šฉ์„ ๋‹ค๋ฃฌ๋‹ค. 1) ํด๋ฆฌ๋จธ๋ฅผ ๊ธฐ๋ฐ˜์œผ๋กœ ํ•œ ์‹ ๊ฒฝ ์ž๊ทน๊ธฐ์˜ ๋ฏธ์„ธ ์ „๊ทน ๋ฐ ํŒจํ‚ค์ง€์™€ ๊ฐ™์€ ์ด์‹ ๊ฐ€๋Šฅํ•œ ๋ถ€๋ถ„์„ ๋ฐ˜๋„์ฒด ๊ธฐ์ˆ  ์—†์ด ๊ฐ„๋‹จํ•˜๊ฒŒ ์ œ์ž‘ํ•˜๋Š” ๋ฐฉ๋ฒ•๊ณผ 2) ์ œํ•œ๋œ ๊ณต๊ฐ„์—์„œ ์ „๊ทน ๊ฐœ์ˆ˜์˜ ๋ฌผ๋ฆฌ์ ์ธ ํ•œ๊ณ„๋ฅผ ๊ทน๋ณตํ•˜๊ธฐ ์œ„ํ•˜์—ฌ ๊ฐ€์ƒ ์ฑ„๋„์„ ํ˜•์„ฑํ•˜๋Š” ๋‹ค๊ทน์„ฑ ์ž๊ทน ๋ฐฉ์‹, 3) ์ด์‹ํ˜• ์นด๋ฉ”๋ผ๋ฅผ ์‚ฌ์šฉํ•˜๋Š” ์ƒˆ๋กœ์šด ์ด๋ฏธ์ง€ ํš๋“ ์ „๋žต, 4) ํ™˜์ž์˜ ๋‹ค์–‘ํ•œ ํ™œ๋™์„ ๋ฐฉํ•ดํ•˜์ง€ ์•Š์œผ๋ฉด์„œ ์‹ ๊ฒฝ ์ž๊ทน๊ธฐ์— ์ „๋ ฅ์„ ๊ณต๊ธ‰ํ•˜๊ณ  ๋ฐ์ดํ„ฐ๋ฅผ ์ „์†กํ•˜๋Š” ๋ฐฉ๋ฒ•. ์ฒซ์งธ๋กœ, ๊ธˆ์†์ด๋‚˜ ์‹ค๋ฆฌ์ฝ˜, ์„ธ๋ผ๋ฏน์— ๋น„ํ•˜์—ฌ ํด๋ฆฌ๋จธ๋Š” ์œ ์—ฐ์„ฑ ๋ฐ ๋ฏธ์„ธ ์ œ์ž‘์—์˜ ์ ์šฉ ๊ฐ€๋Šฅ์„ฑ์„ ํฌํ•จํ•˜๋Š” ๋‘๋“œ๋Ÿฌ์ง„ ์ด์ ๋“ค์ด ์žˆ๊ธฐ ๋•Œ๋ฌธ์— ์‹œ๊ฐ ๋ณด์ฒ  ์‹œ์Šคํ…œ์„ ๊ตฌ์„ฑํ•˜๋Š” ๋‹ค์–‘ํ•œ ์ด์‹ ๊ฐ€๋Šฅํ•œ ๋ถ€๋ถ„๋“ค์— ๋„๋ฆฌ ์ด์šฉ๋˜์—ˆ๋‹ค. ๋Œ€๋ถ€๋ถ„์˜ ํด๋ฆฌ๋จธ ๊ธฐ๋ฐ˜ ์ด์‹ํ˜• ์žฅ์น˜๋“ค์€ ๊ธˆ์† ์ฆ์ฐฉ๊ณผ ์‚ฌ์ง„ ์‹๊ฐ์„ ๊ธฐ๋ฐ˜์œผ๋กœ ํ•˜๋Š” ๋ฐ˜๋„์ฒด ๊ณต์ •์œผ๋กœ ์ œ์ž‘๋˜์—ˆ๋‹ค. ์ด ๊ณต์ •์€ ํด๋ฆฌ๋จธ ๊ธฐํŒ ์œ„์— ๊ธˆ์†์„ ํŒจํ„ฐ๋‹ ํ•˜๋Š” ๋ฐ์— ์žˆ์–ด์„œ ๋†’์€ ์ •ํ™•์„ฑ๊ณผ ์ •๋ฐ€๋„๋ฅผ ์ œ๊ณตํ•œ๋‹ค. ํ•˜์ง€๋งŒ ๊ทธ ๊ณต์ •์€ ๋˜ํ•œ, ์‚ฌ์ง„ ์‹๊ฐ์— ์“ฐ์ด๋Š” ๋งˆ์Šคํฌ์™€ ๊ธˆ์† ์ฆ์ฐฉ์„ ์œ„ํ•œ ์ง„๊ณต๋ฟ๋งŒ ์•„๋‹ˆ๋ผ ์•„์ฃผ ํฐ ๊ณต์ • ์„ค๋น„๋ฅผ ์š”๊ตฌํ•˜๊ธฐ ๋•Œ๋ฌธ์— ์‹œ๊ฐ„ ์†Œ๋ชจ๊ฐ€ ์‹ฌํ•˜๊ณ  ๋ณต์žกํ•˜๋‹ค. ์ด๋Š” ๋ณธ ์—ฐ๊ตฌ์—์„œ ๋‚ฎ์€ ์ˆ˜๋ถ„ ํก์ˆ˜ (<0.01 %)์™€ ๋†’์€ ๋น› ํˆฌ๊ณผ (92 %)๋ฅผ ํŠน์ง•์œผ๋กœ ํ•˜๋Š” ์ƒ์ฒด์ ํ•ฉํ•œ ๊ณ ๋ฆฌํ˜• ์˜ฌ๋ ˆํ•€ ํด๋ฆฌ๋จธ (cyclic olefin polymer, COP)๊ฐ€ ์ด์‹ํ˜• ์žฅ์น˜๋ฅผ ์œ„ํ•œ ์ƒˆ๋กœ์šด ๊ธฐํŒ ๋ฌผ์งˆ๋กœ์จ ์„ ํƒ๋œ ์ด์œ ์ด๋‹ค. COP๋ฅผ ๊ธฐ๋ฐ˜์œผ๋กœ ํ•˜์—ฌ, ๋งˆ์Šคํฌ์™€ ์ง„๊ณต, ํฐ ๊ณต์ • ์„ค๋น„๊ฐ€ ํ•„์š” ์—†์ด ์ด์‹ ๊ฐ€๋Šฅํ•œ ์žฅ์น˜๋ฅผ ๊ฐ„๋‹จํ•˜๊ฒŒ ์ œ์ž‘ํ•˜๋Š” ๊ณต์ •์ด ๊ฐœ๋ฐœ๋˜์—ˆ๋‹ค. COP๋Š” ๊ธˆ๊ณผ์˜ ๊ฐ•ํ•œ ์ ‘ํ•ฉ๊ณผ ์ž์™ธ์„ ์— ๋Œ€ํ•œ ๋†’์€ ํˆฌ๋ช…์„ฑ์„ ๋˜ ๋‹ค๋ฅธ ํŠน์ง•์œผ๋กœ ํ•œ๋‹ค. ์ด์™€ ๊ฐ™์€ ์ ‘ํ•ฉ ํŠน์„ฑ๊ณผ ์ž์™ธ์„  ํˆฌ๋ช…์„ฑ ๋•๋ถ„์—, ๊ธˆ๋ฐ•์€ COP ๊ธฐํŒ์— ๋ณ„๋„์˜ ์ ‘ํ•ฉ์ธต ์—†์ด ์—ด๋กœ ์ ‘ํ•ฉ๋  ์ˆ˜ ์žˆ์„ ๋ฟ๋งŒ ์•„๋‹ˆ๋ผ ๊ทธ ๊ธฐํŒ์— ์†์ƒ์„ ์ฃผ์ง€ ์•Š์œผ๋ฉด์„œ ์ž์™ธ์„  ๋ ˆ์ด์ €๋ฅผ ํ†ตํ•˜์—ฌ ๋ฏธ์„ธํ•˜๊ฒŒ ๊ฐ€๊ณต๋  ์ˆ˜ ์žˆ๋‹ค. ๊ฐœ๋ฐœ๋œ COP ๊ธฐ๋ฐ˜์˜ ๊ณต์ •์„ ์ฒ˜์Œ์œผ๋กœ ์‚ฌ์šฉํ•˜์—ฌ ์นจ์Šตํ˜• ๋ฏธ์„ธ ํ”„๋กœ๋ธŒ๊ฐ€ ์ œ์ž‘๋˜์—ˆ๊ณ , ๊ทธ ์ „๊ธฐํ™”ํ•™์ , ๊ธฐ๊ณ„์  ํŠน์„ฑ๊ณผ ๊ธฐ๋Šฅ์„ฑ์ด ๊ฐ๊ฐ ์ž„ํ”ผ๋˜์Šค ์ธก์ •๊ณผ ๋ฒ„ํด๋ง ํ…Œ์ŠคํŠธ, ์ƒ์ฒด ๋‚ด ์‹ ๊ฒฝ์‹ ํ˜ธ ๊ธฐ๋ก์œผ๋กœ ํ‰๊ฐ€๋˜์—ˆ๋‹ค. ๊ทธ๋ฆฌ๊ณ  COP๋ฅผ ์‚ฌ์šฉํ•œ ๋ฐ€๋ด‰์˜ ๊ฐ€๋Šฅ์„ฑ๋„ ์•Œ์•„๋ณด๊ธฐ ์œ„ํ•˜์—ฌ, ๊ฐœ๋ฐœ๋œ ๊ณต์ •์„ ์‚ฌ์šฉํ•˜์—ฌ ํ˜•์„ฑ๋œ COP ๋ฐ€๋ด‰์˜ ์žฅ๊ธฐ ์•ˆ์ •์„ฑ์ด ์ƒ๋ฆฌ์‹์—ผ์ˆ˜์—์„œ์˜ ๊ฐ€์† ๋…ธํ™” ์ค‘ ๋ˆ„์„ค ์ „๋ฅ˜ ์ธก์ •์„ ํ†ตํ•˜์—ฌ ์ถ”์ •๋˜์—ˆ๋‹ค. ๋‘˜์งธ๋กœ, ์ž๊ทน ์ „๊ทน์˜ ํฌ๊ธฐ๊ฐ€ ์ถฉ๋ถ„ํžˆ ์ž‘์•„์ง„๋‹ค๊ณ  ํ•˜๋”๋ผ๋„, ๋™์‹œ์— ์ถœ๋ ฅ๋˜๋Š” ์ž๊ทน์— ์˜ํ•ด ํ˜•์„ฑ๋˜๋Š” ์ „๊ธฐ์žฅ์˜ ์ค‘์ฒฉ์ธ ํฌ๋กœ์Šค ํ† ํฌ ๋•Œ๋ฌธ์— ๊ฐœ๊ฐœ์˜ ์‹ ๊ฒฝ์„ธํฌ๋ฅผ ์ •๋ฐ€ํ•˜๊ฒŒ ์ž๊ทนํ•˜๊ธฐ ์œ„ํ•˜์—ฌ ์ „๊ทน์„ ๋ฐฐ์—ดํ•˜๋Š” ๊ฒƒ์€ ์•„์ฃผ ์–ด๋ ต๋‹ค. ๋”ฐ๋ผ์„œ ์ธ์ ‘ํ•œ ์ „๊ทน ์‚ฌ์ด์— ์ ๋‹นํ•œ ๊ฐ„๊ฒฉ์ด ํ•„์š”ํ•˜๊ฒŒ ๋˜๊ณ , ์ด๋Š” ํŠนํžˆ ๋‡Œ ๋˜๋Š” ๋ง๋ง‰๊ณผ ๊ฐ™์€ ์ œํ•œ๋œ ๊ณต๊ฐ„์—์„œ ์ „๊ทน ๊ฐœ์ˆ˜์˜ ๋ฌผ๋ฆฌ์ ์ธ ํ•œ๊ณ„๋ฅผ ์•ผ๊ธฐํ•œ๋‹ค. ์ด ํ•œ๊ณ„๋ฅผ ๊ทน๋ณตํ•˜๊ธฐ ์œ„ํ•˜์—ฌ, ๋งŽ์€ ์—ฐ๊ตฌ์ž๋“ค์€ ์‹ค์ œ ์ „๊ทน ์‚ฌ์ด์—์„œ ํฐ ์ „๊ธฐ์žฅ ์„ธ๊ธฐ๋ฅผ ๊ฐ–๋Š” ์ค‘๊ฐ„ ์˜์—ญ์„ ๋‚˜ํƒ€๋‚ด๋Š” ๊ฐ€์ƒ ์ฑ„๋„์„ ์ด์šฉํ•œ ์ž๊ทน ์ „๋žต์„ ์ œ์•ˆํ•˜์˜€๋‹ค. ์ด๋Ÿฌํ•œ ๊ฐ€์ƒ ์ฑ„๋„์€ ๋‘˜ ์ด์ƒ์˜ ์ „๊ทน์—์„œ ๋™์‹œ์— ์ถœ๋ ฅ๋˜๋Š” ์ž๊ทน ํŒŒํ˜•์„ ํ•ฉ์น  ์ˆ˜ ์žˆ๋Š” ๋‹ค๊ทน์„ฑ ์ž๊ทน์— ์˜ํ•˜์—ฌ ํ˜•์„ฑ์ด ๊ฐ€๋Šฅํ•˜๋‹ค. ๋ณธ ์—ฐ๊ตฌ์—์„œ๋Š” ๊ฐ€์ƒ ์ฑ„๋„์„ ์ด์šฉํ•˜์—ฌ ๋” ์ •๊ตํ•œ ์ž๊ทน ํŒจํ„ด์„ ๋งŒ๋“ค๊ธฐ ์œ„ํ•˜์—ฌ, ํŠนํžˆ 2์ฐจ์›์—์„œ์˜ ๊ฐ€์ƒ ์ฑ„๋„์„ ์ƒ์„ฑํ•˜๊ณ ์ž ๊ฒฉ์žํ˜• ๋ฐฐ์—ด์˜ ์ „๊ทน๊ณผ ํ•จ๊ป˜ 5๊ทน์„ฑ ์ž๊ทน์ด ์‚ฌ์šฉ๋˜์—ˆ๋‹ค. ์ด 5๊ทน์„ฑ ์ž๊ทน์€ ๋‹ค์„ฏ ๊ฐœ์˜ ์„œ๋กœ ๋‹ค๋ฅธ ์ „๋ฅ˜์›์„ ๊ฐ–๋„๋ก ๋งž์ถค ์„ค๊ณ„๋œ ์ง‘์ ํšŒ๋กœ์™€ ๊ฐœ๋ฐœ๋œ COP ๊ธฐ๋ฐ˜ ๊ณต์ •์œผ๋กœ ์ œ์ž‘๋œ ํ‰๋ฉดํ˜• ์ „๊ทน์„ ์‚ฌ์šฉํ•˜์—ฌ ๊ตฌํ˜„๋˜์—ˆ๋‹ค. ๋จผ์ €, 5๊ทน์„ฑ ์ž๊ทน์˜ ํšจ๊ณผ๋ฅผ ํ™•์ธํ•˜๊ณ ์ž ์ด ์ž๊ทน์œผ๋กœ ์ „๊ธฐ์žฅ์„ ํ•œ ๊ณณ์— ๋” ์ง‘์ค‘๋œ ํ˜•ํƒœ๋กœ ๋งŒ๋“ค ์ˆ˜ ์žˆ์Œ์ด ๋‹จ๊ทน์„ฑ ์ž๊ทน๊ณผ์˜ ๋น„๊ต๋ฅผ ํ†ตํ•˜์—ฌ ๊ฒ€์ฆ๋˜์—ˆ๋‹ค. ๊ทธ๋ฆฌ๊ณ  ์œ ํ•œ ์š”์†Œ ๋ถ„์„๊ณผ ์ƒ์ฒด ์™ธ ํ‰๊ฐ€ ๋‘˜ ๋ชจ๋‘๋ฅผ ํ†ตํ•˜์—ฌ, 5๊ทน์„ฑ ์ž๊ทน์œผ๋กœ ์ธํ•œ ๊ฐ€์ƒ ์ฑ„๋„ ํ˜•์„ฑ์„ ๋œปํ•˜๋Š” ์ „๊ธฐ์žฅ ๋ถ„ํฌ๊ฐ€ ์ธ์ ‘ํ•œ ๋‘ ์ „๊ทน์—์„œ ๋‚˜์˜ค๋Š” ์ž๊ทน์˜ ์ง„ํญ๋น„์™€ ๊ทธ ์ „๊ทน์œผ๋กœ๋ถ€ํ„ฐ ๋–จ์–ด์ง„ ๊ฑฐ๋ฆฌ์— ๋”ฐ๋ผ ๋ณ€ํ™”๋จ์ด ์ถ”์ •๋˜์—ˆ๋‹ค. ์…‹์งธ๋กœ, ๋ณธ ์—ฐ๊ตฌ์—์„œ๋Š” ๋ˆˆ์— ์ด์‹๋œ ์ฑ„๋กœ ์‹ค์‹œ๊ฐ„ ์ด๋ฏธ์ง€๋ฅผ ์–ป์Œ์œผ๋กœ์จ ์™„์ „ ์ด์‹ํ˜• ์‹œ๊ฐ ๋ณด์ฒ  ์‹œ์Šคํ…œ์„ ๊ตฌ์„ฑํ•˜๋Š” ์ด์‹ํ˜• ์นด๋ฉ”๋ผ๋ฅผ ์ƒˆ๋กœ์šด ์ด๋ฏธ์ง€ ํš๋“ ๋ฐฉ์‹์œผ๋กœ์จ ์ œ์•ˆํ•œ๋‹ค. ์ด ์ด์‹ํ˜• ์นด๋ฉ”๋ผ๋Š” ์‹ค๋ช… ํ™˜์ž๋“ค์ด ์ž์—ฐ์Šค๋Ÿฌ์šด ๋ˆˆ์˜ ์›€์ง์ž„์„ ๋”ฐ๋ผ์„œ ๋ฌผ์ฒด๋ฅผ ๋ณผ ์ˆ˜ ์žˆ์œผ๋ฉฐ ์ž ์ด๋‚˜ ์ƒค์›Œ, ๋‹ฌ๋ฆฌ๊ธฐ์™€ ๊ฐ™์€ ์ผ์ƒ์ ์ธ ํ™œ๋™๋“ค์„ ๋ฐฉํ•ด ๋ฐ›์ง€ ์•Š๊ณ  ์ˆ˜ํ–‰ํ•  ์ˆ˜ ์žˆ๋„๋ก ๋•๋Š”๋‹ค๋Š” ์ ์—์„œ ๋…ํŠนํ•œ ์žฅ์ ์„ ๊ฐ–๋Š”๋‹ค. ๊ธฐ์กด์˜ ๋ถ€๋ถ„ ์ด์‹ํ˜• ์‹œ๊ฐ ๋ณด์ฒ  ์‹œ์Šคํ…œ์—์„œ ์“ฐ์ด๋Š” ์•ˆ๊ฒฝ ๋ถ€์ฐฉํ˜• ์นด๋ฉ”๋ผ์™€ ๊ฐ™์€ ์ฐฉ์šฉ ์žฅ๋น„๋กœ๋Š” ์ด๋Ÿฌํ•œ ์žฅ์ ๋“ค์„ ์–ป์„ ์ˆ˜ ์—†๋‹ค. ๊ฒŒ๋‹ค๊ฐ€, ์ด์‹ํ˜• ์นด๋ฉ”๋ผ๋Š” ๋ง๋ง‰ ์ž„ํ”Œ๋ž€ํŠธ์˜ ๋ฏธ์„ธ ํฌํ† ๋‹ค์ด์˜ค๋“œ ์–ด๋ ˆ์ด์™€ ๋‹ฌ๋ฆฌ ์™„์ „ํ•œ ์นด๋ฉ”๋ผ ๊ตฌ์กฐ๋ฅผ ์ด์šฉํ•˜์—ฌ ๋‹ค์–‘ํ•œ ์ด๋ฏธ์ง€ ์ •๋ณด๋ฅผ ํš๋“ํ•  ์ˆ˜ ์žˆ๋‹ค๋Š” ์žฅ์ ์„ ๊ฐ–๋Š”๋‹ค. ์ด๋Ÿฌํ•œ ์ด์ ๋“ค์„ ๋‹ฌ์„ฑํ•˜๊ธฐ ์œ„ํ•˜์—ฌ, ๊ทธ ์ด์‹ํ˜• ์นด๋ฉ”๋ผ๋Š” ์ˆ˜๋ถ„ ์นจํˆฌ๋ฅผ ๋ง‰๊ณ ์ž ์ƒ์ฒด์ ํ•ฉํ•œ ์—ํญ์‹œ๋กœ ์ฝ”ํŒ…๋˜์—ˆ๊ณ  ์ƒ์ฒด์ ํ•ฉ์„ฑ๊ณผ ์œ ์—ฐ์„ฑ์„ ์–ป๊ธฐ ์œ„ํ•˜์—ฌ ์˜๋ฃŒ์šฉ ์‹ค๋ฆฌ์ฝ˜ ์—˜๋ผ์Šคํ† ๋จธ๋กœ ๋ฐ€๋ด‰๋œ ํ›„์— ๋ˆˆ์— ์ถฉ๋ถ„ํžˆ ์‚ฝ์ž…๋  ์ˆ˜ ์žˆ๋Š” ํ˜•ํƒœ ๋ฐ ํฌ๊ธฐ๋กœ ์ œ์ž‘๋˜์—ˆ๋‹ค. ์ด ์žฅ์น˜์˜ ๋™์ž‘์€ ํ‘๋ฐฑ์œผ๋กœ ์ฒ˜๋ฆฌ๋œ ์ด๋ฏธ์ง€๋ฅผ ํ‘œ์‹œํ•˜๋Š” ๋ฌด์„  ์ด๋ฏธ์ง€ ํš๋“์œผ๋กœ ์‹œํ—˜๋˜์—ˆ๋‹ค. ๊ทธ๋ฆฌ๊ณ  ๋ชธ ์•ˆ์—์„œ ์ด์‹ํ˜• ์นด๋ฉ”๋ผ ๊ฐ–๋Š” ์•ˆ์ •์ ์ธ ํ†ต์‹  ๊ฑฐ๋ฆฌ๋ฅผ ์ธก์ •ํ•˜๊ธฐ ์œ„ํ•˜์—ฌ, ์žฅ์น˜๊ฐ€ ์ƒ์ฒด ๋‚ด ํ™˜๊ฒฝ์„ ๋ชจ์‚ฌํ•˜๊ธฐ ์œ„ํ•œ 8 mm ๋‘๊ป˜์˜ ์ƒ์ฒด ๋ฌผ์งˆ๋กœ ๋ฎ์ธ ์ƒํƒœ์—์„œ ๊ทธ ์žฅ์น˜์˜ ์‹ ํ˜ธ ๋Œ€ ์žก์Œ๋น„๊ฐ€ ์ธก์ •๋˜์—ˆ๋‹ค. ๋งˆ์ง€๋ง‰์œผ๋กœ, ๊ธฐ์กด์˜ ์‹œ๊ฐ ๋ณด์ฒ  ์‹œ์Šคํ…œ์—์„œ ๋ชธ์— ๋ถ€์ฐฉ๋œ ํ˜•ํƒœ์˜ ์™ธ๋ถ€ ํ•˜๋“œ์›จ์–ด๋Š” ์ด์‹๋œ ์žฅ์น˜์— ์ „๋ ฅ๊ณผ ๋ฐ์ดํ„ฐ๋ฅผ ์•ˆ์ •์ ์œผ๋กœ ์ „๋‹ฌํ•˜๊ณ  ์ด๋ฏธ์ง€ ์‹ ํ˜ธ๋ฅผ ์ˆ˜์ง‘ํ•˜๊ธฐ ์œ„ํ•˜์—ฌ ์ผ๋ฐ˜์ ์œผ๋กœ ์‚ฌ์šฉ๋˜์—ˆ๋‹ค. ๊ทธ๋Ÿผ์—๋„ ๋ถˆ๊ตฌํ•˜๊ณ , ์ด๋Ÿฌํ•œ ํ•˜๋“œ์›จ์–ด๋Š” ์™ธ๋ถ€๋กœ๋ถ€ํ„ฐ์˜ ์†์ƒ์œผ๋กœ ์ธํ•œ ๊ธฐ๋Šฅ์ ์ธ ๊ฒฐํ•จ๊ณผ ์ˆ˜๋ฉด ๋ฐ ์ƒค์›Œ, ๋‹ฌ๋ฆฌ๊ธฐ, ์ˆ˜์˜ ํ™œ๋™ ์ค‘ ์ด์šฉ ๋ถˆ๊ฐ€๋Šฅ์„ฑ, ์™ธํ˜•์ ์ธ ์ด์Šˆ ๋“ฑ์„ ํฌํ•จํ•˜๋Š” ๊ณตํ†ต์ ์ธ ๋ฌธ์ œ๋“ค์„ ์•ผ๊ธฐํ•œ๋‹ค. ์ „๋ ฅ ๋ฐ ๋ฐ์ดํ„ฐ ์ „์†ก์„ ์œ„ํ•œ ์™ธ๋ถ€ ์ฝ”์ผ์€ ์‹œ๊ฐ ๋ณด์ฒ  ์‹œ์Šคํ…œ์—์„œ ์ปจํŠธ๋กค๋Ÿฌ์™€ ํ”„๋กœ์„ธ์„œ์— ์œ ์„ ์œผ๋กœ ์—ฐ๊ฒฐ๋˜๊ณ , ์ด๋Ÿฌํ•œ ์—ฐ๊ฒฐ์€ ๊ทธ ์ฝ”์ผ์ด ์•ž์„œ ์–ธ๊ธ‰๋œ ๋ฌธ์ œ๋“ค์— ํŠนํžˆ ์ทจ์•ฝํ•˜๊ฒŒ ๋งŒ๋“ ๋‹ค. ์ด๋Ÿฌํ•œ ์ด์Šˆ๋ฅผ ํ•ด๊ฒฐํ•˜๊ณ ์ž, ํœด๋Œ€์šฉ ๋ฌด์„  ์ปจํŠธ๋กค๋Ÿฌ๋กœ ์ œ์–ด๋˜๋Š” ์™„์ „ ์ด์‹ํ˜• ์‹ ๊ฒฝ ์ž๊ทน ์‹œ์Šคํ…œ์ด ์ œ์•ˆ๋œ๋‹ค. ์ด ํœด๋Œ€์šฉ ๋ฌด์„  ์ปจํŠธ๋กค๋Ÿฌ๋Š” ์ €์ „๋ ฅ์ด์ง€๋งŒ ๋น„๊ต์  ์žฅ๊ฑฐ๋ฆฌ ํ†ต์‹ ์ด ๊ฐ€๋Šฅํ•œ ์ง๋น„ (ZigBee) ๋ฌด์„  ํ†ต์‹ ์„ ํ†ตํ•˜์—ฌ ์žฌ์ถฉ์ „ ๊ฐ€๋Šฅํ•œ ๋ฐฐํ„ฐ๋ฆฌ๋กœ ๋™์ž‘ํ•˜๋Š” ์™„์ „ ์ด์‹ํ˜• ์ž๊ทน๊ธฐ๋ฅผ ์ œ์–ดํ•  ์ˆ˜ ์žˆ๋‹ค. ์ด ์™ธ์—๋„, ์ด ํœด๋Œ€์šฉ ์ปจํŠธ๋กค๋Ÿฌ๋ฅผ ์‚ฌ์šฉํ•˜๋ฉด ํญ๋„“์€ ์‘์šฉ์„ ์œ„ํ•œ ๋‘ ๊ฐ€์ง€ ๊ธฐ๋Šฅ์„ ์ถ”๊ฐ€๋กœ ์ˆ˜ํ–‰ํ•  ์ˆ˜ ์žˆ๋‹ค. ํ•˜๋‚˜๋Š” ์œ ์„  ๊ฒฝํ”ผ ์ž๊ทน์ด๋ฉฐ, ๋‹ค๋ฅธ ํ•˜๋‚˜๋Š” ์žฌ์ถฉ์ „ ๊ฐ€๋Šฅํ•œ ๋ฐฐํ„ฐ๋ฆฌ์˜ ์œ ๋„ ์ถฉ์ „ ๊ธฐ๋Šฅ์ด๋‹ค. ๋˜ํ•œ, ์ด ํœด๋Œ€์šฉ ์ปจํŠธ๋กค๋Ÿฌ์˜ ๊ฐ„๋‹จํ•œ ์Šค์œ„์น˜๋ฅผ ์‚ฌ์šฉํ•˜๋ฉด ์‚ฌ์šฉ์ž๋Š” ๊ฒŒ์ž„ํŒจ๋“œ์™€ ๊ฐ™์ด ์ž๊ทน ํŒŒ๋ผ๋ฏธํ„ฐ๋ฅผ ์‰ฝ๊ฒŒ ์กฐ์ ˆํ•  ์ˆ˜ ์žˆ๋‹ค. ์ด๋Ÿฌํ•œ ํœด๋Œ€ ๊ฐ€๋Šฅํ•˜๊ณ  ์‚ฌ์šฉ์ž ์นœํ™”์ ์ธ ์ธํ„ฐํŽ˜์ด์Šค๋ฅผ ํ†ตํ•ด ๋‹ค์–‘ํ•œ ์ƒํ™ฉ์—์„œ ๊ทธ ์ปจํŠธ๋กค๋Ÿฌ๋ฅผ ์‰ฝ๊ฒŒ ์‚ฌ์šฉํ•  ์ˆ˜ ์žˆ๋‹ค. ๊ทธ ์ปจํŠธ๋กค๋Ÿฌ์˜ ๊ธฐ๋Šฅ์€ ์ƒ์ฒด ์™ธ ํ‰๊ฐ€๋ฟ๋งŒ ์•„๋‹ˆ๋ผ ์กฐ๋ฅ˜์˜ ์›€์ง์ž„ ์ œ์–ด๋ฅผ ์œ„ํ•œ ์œ ์„  ๊ฒฝํ”ผ ์ž๊ทน ๋ฐ ์›๊ฒฉ ์ œ์–ด๋ฅผ ํ†ตํ•ด ์ƒ์ฒด ๋‚ด์—์„œ๋„ ํ‰๊ฐ€๋˜์—ˆ๋‹ค. ๋˜ํ•œ, ๊ทธ ์ปจํŠธ๋กค๋Ÿฌ๋ฅผ ์‚ฌ์šฉํ•œ ์›๊ฒฉ ์‹ ๊ฒฝ ์ž๊ทน ์ œ์–ด์˜ ์ˆ˜ํ–‰ ๊ฐ€๋Šฅ์„ฑ์„ ๊ฒ€์ฆํ•˜๊ธฐ ์œ„ํ•˜์—ฌ ๋‘ ์ƒ์ฒด ๋‚ด ์‹คํ—˜์˜ ๊ฒฐ๊ณผ๊ฐ€ ์„œ๋กœ ๋น„๊ต๋˜์—ˆ๋‹ค. ๊ฒฐ๋ก ์ ์œผ๋กœ, COP ๊ธฐ๋ฐ˜์˜ ๊ฐ„๋‹จํ•œ ์ œ์ž‘ ๊ณต์ •๊ณผ 5๊ทน์„ฑ ์ž๊ทน, ์ด์‹ํ˜• ์นด๋ฉ”๋ผ, ํœด๋Œ€์šฉ ๋‹ค๊ธฐ๋Šฅ ๋ฌด์„  ์ปจํŠธ๋กค๋Ÿฌ๋ฅผ ํฌํ•จํ•˜๋Š” ์—ฐ๊ตฌ ๊ฒฐ๊ณผ์— ๋Œ€ํ•œ ์—ฌ๋Ÿฌ ๋…ผ์˜๊ฐ€ ์ด๋ฃจ์–ด์ง„๋‹ค. ๊ทธ๋ฆฌ๊ณ  ์ด๋Ÿฌํ•œ ๊ฒฐ๊ณผ์™€ ๊ณ ์ฐฐ์— ๊ธฐ์ดˆํ•˜์—ฌ, ๋ณธ ํ•™์œ„๋…ผ๋ฌธ์˜ ์—ฐ๊ตฌ๊ฐ€ ์™„์ „ ์ด์‹ํ˜• ์‹œ๊ฐ ๋ณด์ฒ  ์‹œ์Šคํ…œ์˜ ๊ตฌํ˜„์— ์–ด๋–ป๊ฒŒ ์ ์šฉ๋  ์ˆ˜ ์žˆ๋Š” ์ง€๊ฐ€ ์ด ๋…ผ๋ฌธ์˜ ๋์—์„œ ์ƒ์„ธํžˆ ์„ค๋ช…๋œ๋‹ค.Abstract ------------------------------------------------------------------ i Contents ---------------------------------------------------------------- vi List of Figures ---------------------------------------------------------- xi List of Tables ----------------------------------------------------------- xx List of Abbreviations ------------------------------------------------ xxii Chapter 1. Introduction --------------------------------------------- 1 1.1. Visual Prosthetic System --------------------------------------- 2 1.1.1. Current Issues ------------------------------------------------- 2 1.1.1.1. Substrate Materials ---------------------------------------- 3 1.1.1.2. Electrode Configurations --------------------------------- 5 1.1.1.3. External Hardware ----------------------------------------- 6 1.1.1.4. Other Issues ------------------------------------------------- 7 1.2. Suggested Visual Prosthetic System ------------------------ 8 1.3. Four Motivations ---------------------------------------------- 10 1.4. Proposed Approaches ---------------------------------------- 11 1.4.1. Cyclic Olefin Polymer (COP) ------------------------------ 11 1.4.2. Penta-Polar Stimulation ----------------------------------- 13 1.4.3. Implantable Camera --------------------------------------- 16 1.4.4. Handheld Remote Controller ---------------------------- 18 1.5. Objectives of this Dissertation ------------------------------ 20 Chapter 2. Materials and Methods ----------------------------- 23 2.1. COP-Based Fabrication and Encapsulation -------------- 24 2.1.1. Overview ----------------------------------------------------- 24 2.1.2. Simple Fabrication Process ------------------------------- 24 2.1.3. Depth-Type Microprobe ---------------------------------- 26 2.1.3.1. Design ----------------------------------------------------- 26 2.1.3.2. Characterization ----------------------------------------- 27 2.1.3.3. In Vivo Neural Signal Recording ---------------------- 30 2.1.4. COP Encapsulation ---------------------------------------- 31 2.1.4.1. In Vitro Reliability Test ---------------------------------- 33 2.2. Penta-Polar Stimulation ------------------------------------- 34 2.2.1. Overview ---------------------------------------------------- 34 2.2.2. Design and Fabrication ----------------------------------- 35 2.2.2.1. Integrated Circuit (IC) Design ------------------------- 35 2.2.2.2. Surface-Type Electrode Fabrication ------------------ 38 2.2.3. Evaluations -------------------------------------------------- 39 2.2.3.1. Focused Electric Field Measurement ---------------- 42 2.2.3.2. Steered Electric Field Measurement ----------------- 42 2.3. Implantable Camera ----------------------------------------- 43 2.3.1. Overview ---------------------------------------------------- 43 2.3.2. Design and Fabrication ----------------------------------- 43 2.3.2.1. Circuit Design -------------------------------------------- 43 2.3.2.2. Wireless Communication Program ------------------ 46 2.3.2.3. Epoxy Coating and Elastomer Sealing -------------- 47 2.3.3. Evaluations ------------------------------------------------- 50 2.3.3.1. Wireless Image Acquisition --------------------------- 50 2.3.3.2. Signal-to-Noise Ratio (SNR) Measurement -------- 52 2.4. Multi-Functional Handheld Remote Controller --------- 53 2.4.1. Overview ---------------------------------------------------- 53 2.4.2. Design and Fabrication ----------------------------------- 53 2.4.2.1. Hardware Description ---------------------------------- 53 2.4.2.2. Software Description ----------------------------------- 57 2.4.3. Evaluations -------------------------------------------------- 57 2.4.3.1. In Vitro Evaluation -------------------------------------- 57 2.4.3.2. In Vivo Evaluation --------------------------------------- 59 Chapter 3. Results ------------------------------------------------- 61 3.1. COP-Based Fabrication and Encapsulation ------------- 62 3.1.1. Fabricated Depth-Type Microprobe ------------------- 62 3.1.1.1. Electrochemical Impedance -------------------------- 63 3.1.1.2. Mechanical Characteristics --------------------------- 64 3.1.1.3. In Vivo Neural Signal Recording --------------------- 66 3.1.2. COP Encapsulation --------------------------------------- 68 3.1.2.1. In Vitro Reliability Test --------------------------------- 68 3.2. Penta-Polar Stimulation ------------------------------------ 70 3.2.1. Fabricated IC and Surface-Type Electrodes ---------- 70 3.2.2. Evaluations ------------------------------------------------- 73 3.2.2.1. Focused Electric Field Measurement --------------- 73 3.2.2.2. Steered Electric Field Measurement ---------------- 75 3.3. Implantable Camera ---------------------------------------- 76 3.3.1. Fabricated Implantable Camera ----------------------- 76 3.3.2. Evaluations ------------------------------------------------ 77 3.3.2.1. Wireless Image Acquisition -------------------------- 77 3.3.2.2. SNR Measurement ------------------------------------ 78 3.4. Multi-Functional Handheld Remote Controller ------- 80 3.4.1. Fabricated Remote Controller ------------------------- 80 3.4.2. Evaluations ------------------------------------------------ 81 3.4.2.1. In Vitro Evaluation ------------------------------------ 81 3.4.2.2. In Vivo Evaluation ------------------------------------- 83 Chapter 4. Discussions ------------------------------------------ 86 4.1. COP-Based Fabrication and Encapsulation ------------ 87 4.1.1. Fabrication Process and Fabricated Devices -------- 87 4.1.2. Encapsulation and Optical Transparency ------------ 89 4.2. Penta-Polar Stimulation------------------------------------ 99 4.2.1. Designed IC and Electrode Configurations --------- 99 4.2.2. Virtual Channels in Two Dimensions ---------------- 101 4.3. Implantable Camera -------------------------------------- 102 4.3.1. Enhanced Reliability by Epoxy Coating ------------- 106 4.4. Multi-Functional Handheld Remote Controller ------ 107 4.4.1. Brief Discussions of the Two Extra Functions ------ 108 4.5. Totally Implantable Visual Prosthetic System --------- 113 Chapter 5. Conclusion ------------------------------------------ 117 References -------------------------------------------------------- 121 Supplements ------------------------------------------------------ 133 ๊ตญ๋ฌธ ์ดˆ๋ก ----------------------------------------------------------- 143Docto

    Novel flexible multielectrode arrays for neuronal stimulation and recording

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    This thesis will focus on developments in coupling the multidisciplinary research interests of Physics, Micro-engineering and neurobiology towards the development of a proof of concept retinal prosthetic device. With recent developments in low-power electronics and semiconductor fabrication techniques many applications in the life sciences have emerged. One such application is in the development of a retinal prosthetic device which relies on the ability to record information from and feed information directly to small retinal neuronal cells which are approximately 5mum diameter. Where successful, we achieve the possibility of restoring sight to people affected by degenerative visual diseases such as Age Related Macular Degeneration and Retinitis Pigmentosa. Both these conditions affect the photosensitive elements of the eye yet leave the remaining pathways to the visual cortex, the area of the brain responsible for our visual precept, intact. High-density electrode arrays axe becoming well established as tools for the measurement of neuronal signals. The fabrication of arrays on flexible materials allows for 2D position sensitive recording of cellular activity in vivo and for the possibility of direct in vivo stimulus. Using flexible polymer materials (Pryalin PI2545), compliant with semiconductor fabrication techniques, a process allowing the fabrication of flexible multi-site microelectrode neuronal recording and stimulating arrays is presented. The development of both 8 and 74 electrode arrays on polyimide substrates with 50mum and 5mum minimum linewidths respectively is described. Implementing low noise amplification, 8muV rms (bandpass typically 80-2000 Hz), the polyimide 8-electrode arrays have been used to stimulate and record electroretinogram and ganglion cell action potentials in vivo from the frog retina (Rana lemporaria). Such arrays coupled to our application specific pixellated CMOS sensors, the IPIX, incorporating an ability to apply neural network algorithms should allow for the recovery of basic functionality in the human retina. The IPIX detector is an Active Pixel Sensor which responds to incident light in the visible region. It responds to the varying intensity of light over 3 log units and outputs varying frequency voltage pulses of similar form to that of a healthy retina. Stimulation studies for electro-deposited platinum electrodes of 4 nA/mum2 indicate upper breakdown limits for charge density approaching 100 muCm-2. Investigations of lifetime stimulation of a 50 mum diameter electrode, of typical impedance less than 20 kO at 1 kHz, suggest operational limits over lifetime in the order of 10 muCm-2. These charge densities are adequate for neuronal cell stimulation. It is believed that the system described in this thesis can form the basis on which to deploy a retinal prosthetic device. Moreover, in the short term, the information provided by this system will allow for investigations into deciphering the 'wiring diagram' of the retina

    A Wireless, High-Voltage Compliant, and Energy-Efficient Visual Intracortical Microstimulator

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    Rร‰SUMร‰ Lโ€™objectif gรฉnรฉral de ce projet de recherche est la conception, la mise en oeuvre et la validation dโ€™une interface sans fil intracorticale implantable en technologie CMOS avancรฉe pour aider les personnes ayant une dรฉficience visuelle. Les dรฉfis majeurs de cette recherche sont de rรฉpondre ร  la conformitรฉ ร  haute tension nรฉcessaire ร  travers lโ€™interface dโ€™รฉlectrode-tissu (IET), augmenter la flexibilitรฉ dans la microstimulation et la surveillance multicanale, minimiser le budget de puissance pour un dispositif biomรฉdical implantable, rรฉduire la taille de lโ€™implant et amรฉliorer le taux de transmission sans fil des donnรฉes. Par consรฉquent, nous prรฉsentons dans cette thรจse un systรจme de microstimulation intracorticale multi-puce basรฉe sur une nouvelle architecture pour la transmission des donnรฉes sans fil et le transfert de lโ€™รฉnergie se servant de couplages inductifs et capacitifs. Une premiรจre puce, un gรฉnรฉrateur de stimuli (SG) รฉconergรฉtique, et une autre qui est un amplificateur de haute impรฉdance se connectant au rรฉseau de microรฉlectrodes de lโ€™รฉtage de sortie. Les 4 canaux de gรฉnรฉrateurs de stimuli produisent des impulsions rectangulaires, demi-sinus (DS), plateau-sinus (PS) et autres types dโ€™impulsions de courant ร  haut rendement รฉnergรฉtique. Le SG comporte un contrรดleur de faible puissance, des convertisseurs numรฉrique-analogiques (DAC) opรฉrant en mode courant, gรฉnรฉrateurs multi-forme dโ€™ondes et miroirs de courants alimentรฉs sous 1.2 et 3.3V se servant pour lโ€™interface entre les deux technologies utilisรฉes. Le courant de stimulation du SG varie entre 2.32 et 220ฮผA pour chaque canal. La deuxiรจme puce (pilote de microรฉlectrodes (MED)), une interface entre le SG et de lโ€™arrangement de microรฉlectrodes (MEA), fournit quatre niveaux diffรฉrents de courant avec la valeur maximale de 400ฮผA par entrรฉe et 100ฮผA par canal de sortie simultanรฉment pour 8 ร  16 sites de stimulation ร  travers les microรฉlectrodes, connectรฉs soit en configuration bipolaire ou monopolaire. Cette รฉtage de sortie est hautement configurable et capable de dรฉlivrer une tension รฉlevรฉe pour satisfaire les conditions de lโ€™interface ร  travers lโ€™impรฉdance de IET par rapport aux systรจmes prรฉcรฉdemment rapportรฉs. Les valeurs nominales de plus grandes tensions dโ€™alimentation sont de ยฑ10V. La sortie de tension mesurรฉe est conformรฉment 10V/phase (anodique ou cathodique) pour les tensions dโ€™alimentation spรฉcifiรฉes. Lโ€™incrรฉmentation de tensions dโ€™alimentation ร  ยฑ13V permet de produire un courant de stimulation de 220ฮผA par canal de sortie permettant dโ€™รฉlever la tension de sortie jusquโ€™au 20V par phase. Cet รฉtage de sortie regroupe un commutateur haute tension pour interfacer une matrice des miroirs de courant (3.3V /20V), un registre ร  dรฉcalage de 32-bits ร  entrรฉe sรฉrielle, sortie parallรจle, et un circuit dรฉdiรฉ pour bloquer des รฉtats interdits.----------ABSTRACT The general objective of this research project is the design, implementation and validation of an implantable wireless intracortical interface in advanced CMOS technology to aid the visually impaired people. The major challenges in this research are to meet the required highvoltage compliance across electrode-tissue interface (ETI), increase lexibility in multichannel microstimulation and monitoring, minimize power budget for an implantable biomedical device, reduce the implant size, and enhance the data rate in wireless transmission. Therefore, we present in this thesis a multi-chip intracortical microstimulation system based on a novel architecture for wireless data and power transmission comprising inductive and capacitive couplings. The first chip is an energy-efficient stimuli generator (SG) and the second one is a highimpedance microelectrode array driver output-stage. The 4-channel stimuli-generator produces rectangular, half-sine (HS), plateau-sine (PS), and other types of energy-efficient current pulse. The SG is featured with low-power controller, current mode source- and sinkdigital- to-analog converters (DACs), multi-waveform generators, and 1.2V/3.3V interface current mirrors. The stimulation current per channel of the SG ranges from 2.32 to 220ฮผA per channel. The second chip (microelectrode driver (MED)), an interface between the SG and the microelectrode array (MEA), supplies four different current levels with the maximum value of 400ฮผA per input and 100ฮผA per output channel. These currents can be delivered simultaneously to 8 to 16 stimulation sites through microelectrodes, connected either in bipolar or monopolar configuration. This output stage is highly-configurable and able to deliver higher compliance voltage across ETI impedance compared to previously reported designs. The nominal values of largest supply voltages are ยฑ10V. The measured output compliance voltage is 10V/phase (anodic or cathodic) for the specified supply voltages. Increment of supply voltages to ยฑ13V allows 220ฮผA stimulation current per output channel enhancing the output compliance voltage up to 20V per phase. This output-stage is featured with a high-voltage switch-matrix, 3.3V/20V current mirrors, an on-chip 32-bit serial-in parallel-out shift register, and the forbidden state logic building blocks. The SG and MED chips have been designed and fabricated in IBM 0.13ฮผm CMOS and Teledyne DALSA 0.8ฮผm 5V/20V CMOS/DMOS technologies with silicon areas occupied by them 1.75 x 1.75mm2 and 4 x 4mm2 respectively. The measured DC power budgets consumed by low-and mid-voltage microchips are 2.56 and 2.1mW consecutively

    Biomedical Engineering

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    Biomedical engineering is currently relatively wide scientific area which has been constantly bringing innovations with an objective to support and improve all areas of medicine such as therapy, diagnostics and rehabilitation. It holds a strong position also in natural and biological sciences. In the terms of application, biomedical engineering is present at almost all technical universities where some of them are targeted for the research and development in this area. The presented book brings chosen outputs and results of research and development tasks, often supported by important world or European framework programs or grant agencies. The knowledge and findings from the area of biomaterials, bioelectronics, bioinformatics, biomedical devices and tools or computer support in the processes of diagnostics and therapy are defined in a way that they bring both basic information to a reader and also specific outputs with a possible further use in research and development

    Self-diagnosis implantable optrode for optogenetic stimulation

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    PhD ThesisAs a cell type-specific neuromodulation method, optogenetic technique holds remarkable potential for the realisation of advanced neuroprostheses. By genetically expressing light-sensitive proteins such as channelrhodopsin-2 (ChR2) in cell membranes, targeted neurons could be controlled by blue light. This new neuromodulation technique could then be applied into extensive brain networks and be utilised to provide effective therapies for neurological disorders. However, the development of novel optogenetic implants is still a key challenge in the field. The major requirements include small device dimensions, suitable spatial resolution, high safety, and strong controllability. In particular, appropriate implantable electronics are expected to be built into the device, accomplishing a new-generation intelligent optogenetic implant. To date, different microfabrication techniques, such as wave-guided laser/light-emitting diode (LED) structure and ฮผLED-on-optrode structure, have been widely explored to create and miniaturise optogenetic implants. However, although these existing devices meet the requirements to some extent, there is still considerable room for improvement. In this thesis, a Complementary Metal-Oxide-Semiconductor (CMOS)-driven ฮผLED approach is proposed to develop an advanced implantable optrode. This design is based on the ฮผLED-on-optrode structure, where Gallium Nitride (GaN) ฮผLEDs can be directly bonded to provide precise local light delivery and multi-layer stimulation. Moreover, an in-built diagnostic sensing circuitry is designed to monitor optrode integrity and degradation. This self-diagnosis function greatly improves system reliability and safety. Furthermore, in-situ temperature sensors are incorporated to monitor the local thermal effects of light emitters. This ensures both circuitry stability and tissue health. More importantly, external neural recording circuitry is integrated into the implant, which could observe local neural signals in the vicinity of the stimulation sites. Therefore, a CMOS-based multi-sensor optogenetic implant is achieved, and this closed-loop neural interface is capable of performing multichannel optical neural stimulation and electrical neural recording simultaneously. This optrode is expected to represent a promising neural interface for broad neuroprosthesis applications
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