332 research outputs found

    A Novel In Vitro Sensing Configuration for Retinal Physiology Analysis of a Sub-Retinal Prosthesis

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    This paper presents a novel sensing configuration for retinal physiology analysis, using two microelectrode arrays (MEAs). In order to investigate an optimized stimulation protocol for a sub-retinal prosthesis, retinal photoreceptor cells are stimulated, and the response of retinal ganglion cells is recorded in an in vitro environment. For photoreceptor cell stimulation, a polyimide-substrate MEA is developed, using the microelectromechanical systems (MEMS) technology. For ganglion cell response recording, a conventional glass-substrate MEA is utilized. This new sensing configuration is used to record the response of retinal ganglion cells with respect to three different stimulation methods (monopolar, bipolar, and dual-monopolar stimulation methods). Results show that the geometrical relation between the stimulation microelectrode locations and the response locations seems very low. The threshold charges of the bipolar stimulation and the monopolar stimulation are in the range of 10โˆผ20 nC. The threshold charge of the dual-monopolar stimulation is not obvious. These results provide useful guidelines for developing a sub-retinal prosthesis

    MICROELECTRODE ARRAY FOR CAPACITIVE TRANSDUCTION OF RETINAL RESPONSES

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    Neural degenerative diseases and traumatic injuries to the eye affect millions of people worldwide, motivating the development of neural prosthetic interfaces to restore sensory or motor function in affected individuals. Advances in neural sensing and stimulation interface technology will allow a more comprehensive understanding of neural function while leading to the development of hybrid biological-electronic sensor devices for robust, functioning neural prosthetic systems. Current techniques of neural activity sensing employ multi-electrode arrays (MEAs) that typically incorporate metal electrodes and measure currents via an electrochemical junction, leading to corrosion and charge transfer across the electrode-tissue interface. High-density neural interface technology will require active circuitry within the implant; the device must withstand corrosion and induce minimal damage at the electrode/tissue interface. The work shown here demonstrates a prototype neural interface device based on capacitive coupling through hafnium oxide encapsulation of a novel 3D device architecture, advancing neural sensing technology toward long-term implantable neural interfaces. The functionalization of biosensors interfaced with neural tissue is important to ensure that the active components of the sensor are fully protected from the surrounding biological environment. Self-assembled monolayers (SAMs) have been extensively studied as coatings for implantable devices due to their ability to tailor surface properties and relative ease of film formation. We report a series of studies aimed at investigating the stability of phosphonate self-assembled monolayers, octdecylphosphonic acid (ODPA) or perfluorophosphonic acid (PFPA) on various oxide surfaces (SiO2, TiO2, Al2O3 and HfO2) to serve as the biotic-abiotic interface of the prototype neural device developed here. The monolayers were deposited by a series of techniques including self-assembly from solution, tethering by aggregation and growth and Langmuir-Blodgett (LB). SAMs prepared by LB were primarily used in our stability investigations because they were found to be the most uniform and reproducible. All films deposited on oxide-coated substrates were characterized by means of water contact angle measurements, spectroscopic ellipsometry, X-ray photoelectron spectroscopy (XPS) and atomic force microscopy (AFM). XPS data conclusively showed covalent phosphonate formation on all substrates except SiO2, which had background spectra that interfered with the data analysis. AFM images of SAMs formed on SiO2 and TiO2 showed significant surface reorganization upon exposure to water within 30 minutes. SAMs formed on Al2O3 and HfO2 were much more stable upon exposure to water. PFPA SAMs on HfO2 were found to be the most stable SAMs studied here in either water or phosphate buffer at room temperature. This is the first report of a SAM-oxide system showing stability for an extended period of time, greater than 20 days. These data suggest that phosphonate SAMs should be considered for implantable neural devices that require longer-term stability under aqueous conditions. To examine the encoding and processing of information by networks of neurons, microelectrode arrays (MEAs) have been developed and applied, but evolving scientific questions and biomedical applications require higher density sampling and wider spatial coverage. The integration of 3D electrodes can provide closer contact with neurons to facilitate detection and resolution of single cell action potentials. The fabrication methods implemented here allows reliable fabrication of a novel MEA consisting of probes with dimensions of a few microns, unlike most other approaches to 3D electrode arrays, which produce structures on the scale of tens of microns or more. The device incorporates over 3,800 micro pillar electrodes, grouped into 60 independent sensors for compatibility with existing electronics, spread over an area of 750 ฮผm2; each sensor site consists of an 8x8 array of micropillars, interconnected by a lead to an output pad of the device. Individual 3D pillars are 3 ฮผm in diameter with a height of 8 ฮผm. Our experience has suggested that such microstructured probes can achieve more intimate contact with the surface of neural tissue, and enhance the quality of neuronal recordings. Electrochemical impedance spectroscopy (EIS) at 1 kHz measured average magnitude and phase shift of 710 W and 17ยฐ, respectively, for a single sensor site. These values confirm the robustness of our fabrication process for developing highly conductive 3D microelectrodes. The results shown here demonstrate high-density, three-dimensional microfabrication technology that was applied to the development of an advanced capacitive sensor array for neural tissue. Applications in sensing technology now require electro-neural interface devices to withstand corrosion and induce minimal damage at the electrode/tissue interface. We have developed a platform suitable for hermetic sealing and have shown encapsulation through atomic layer deposition of hafnium oxide over the active components of the device to overcome the direct current limitations of existing MEA technology. EIS was used to study the oxide deposition on the 3D micro pillar sensor array to ensure a pinhole-free dielectric coating. The characteristic impedance magnitudes increase up to 3 orders of magnitude upon oxide deposition and the phase indicates fully capacitive sensor sites. The fabrication process and electrochemical impedance study shown here, demonstrates the usefulness of such techniques for building high-density 3D arrays that can be fully encapsulated with a protective dielectric coating. This work advances the technology towards capacitive sensing of retinal neurons with a robust, non-invasive sensing device. Sensing retinal neurons with the 3D micropillar array developed here was performed for direct current and capacitive configurations of the device. Electroretinograms (ERGs) were recorded and the overall performance of the device was analyzed. The devices showed good consistency across all 60 Pt electrode clusters during characterization and when interfaced with retinal tissue. ERGs were recorded by more than 80% of the direct current electrode sites and the performance was evenly distributed around the mean response. This performance surpasses previous reports of 3D electrode arrays interfaced with retinal tissue, where typically 1-6 electrode signals are recorded successfully. Encapsulation of the device platform was achieved and successful recordings of ERG signals were shown. This work is the first report of sensing the overall electrical behavior of retinal tissue with a coupled capacitive MEA

    ์™„์ „ ์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

    Neuroengineering Tools/Applications for Bidirectional Interfaces, Brainโ€“Computer Interfaces, and Neuroprosthetic Implants โ€“ A Review of Recent Progress

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    The main focus of this review is to provide a holistic amalgamated overview of the most recent human in vivo techniques for implementing brainโ€“computer interfaces (BCIs), bidirectional interfaces, and neuroprosthetics. Neuroengineering is providing new methods for tackling current difficulties; however neuroprosthetics have been studied for decades. Recent progresses are permitting the design of better systems with higher accuracies, repeatability, and system robustness. Bidirectional interfaces integrate recording and the relaying of information from and to the brain for the development of BCIs. The concepts of non-invasive and invasive recording of brain activity are introduced. This includes classical and innovative techniques like electroencephalography and near-infrared spectroscopy. Then the problem of gliosis and solutions for (semi-) permanent implant biocompatibility such as innovative implant coatings, materials, and shapes are discussed. Implant power and the transmission of their data through implanted pulse generators and wireless telemetry are taken into account. How sensation can be relayed back to the brain to increase integration of the neuroengineered systems with the body by methods such as micro-stimulation and transcranial magnetic stimulation are then addressed. The neuroprosthetic section discusses some of the various types and how they operate. Visual prosthetics are discussed and the three types, dependant on implant location, are examined. Auditory prosthetics, being cochlear or cortical, are then addressed. Replacement hand and limb prosthetics are then considered. These are followed by sections concentrating on the control of wheelchairs, computers and robotics directly from brain activity as recorded by non-invasive and invasive techniques

    Developing a new generation of neuro-prosthetic interfaces: structure-function correlates of viable retina-CNT biohybrids

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    PhD ThesisOne of the many challenges in the development of neural prosthetic devices is the choice of electrode material. Electrodes must be biocompatible, and at the same time, they must be able to sustain repetitive current injections in a highly corrosive physiological environment. We investigated the suitability of carbon nanotube (CNT) electrodes for retinal prosthetics by studying prolonged exposure to retinal tissue and repetitive electrical stimulation of retinal ganglion cells (RGCs). Experiments were performed on retinal wholemounts isolated from the Cone rod homeobox (CRX) knockout mouse, a model of Leber congenital amaurosis. Retinas were interfaced at the vitreo-retinal juncture with CNT assemblies and maintained in physiological conditions for up to three days to investigate any anatomical (immunohistochemistry and electron microscopy) and electrophysiological changes (multielectrode array stimulation and recordings; electrodes were made of CNTs or commercial titanium nitride). Anatomical characterisation of the inner retina, including RGCs, astrocytes and Mรผller cells as well as cellular matrix and inner retinal vasculature, provide strong evidence of a gradual remodelling of the retina to incorporate CNT assemblies, with very little indication of an immune response. Prolonged electrophysiological recordings, performed over the course of three days, demonstrate a gradual increase in signal amplitudes, lowering of stimulation thresholds and an increase in cellular recruitment for RGCs interfaced with CNT electrodes, but not with titanium nitride electrodes. These results provide for the first time electrophysiological, ultrastructural and cellular evidence of the time-dependent formation of strong and viable bio-hybrids between the RGC layer and CNT arrays in intact retinas. We conclude that CNTs are a promising material for inclusion in retinal prosthetic devices

    Analysis of Factors Affecting the Performance of Retinal Prostheses Using Finite Element Modelling of Electric Field Distribution in the Retina

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    This dissertation proposes a computational framework targeted at improving the design of currently employed retinal prostheses. The framework was used for analysing factors impacting the performance of prostheses in terms of electrical stimulation for retinal neurons, which might lead to a perception of pixelated vision. Despite their demonstrated effectiveness, the chronic and safe usage of these retinal prostheses in human and animal trials is jeopardised due to high stimulation thresholds. This is related to the distance between the stimulating electrodes and the retinal neurons resulting from the implantation procedure. The major goal of this dissertation was to evaluate the stimulation efficacy in current implantable planar microelectrode-based retinal prostheses and consequently demonstrate their weakness, thereby providing scope for the development of future implants. The effect of geometrical factors i.e., electrode-retina distance and electrode size on stimulation applied to the retina by retinal prostheses was studied. To this end, a finite element method based simulation framework to compute electric field distribution in the retina was constructed. An electrical model of the retina was an integral part of the framework, essentially represented by a resistivity profile of the multi-layered retina. The elements of a retinal prosthesis were modelled by incorporating realistic electrode sizes, an anatomical and electrical model of the retina, a precise positioning of stimulation and return electrodes and the location of the implant with respect to the retina representing the epiretinal and subretinal stimulation schemes. The simulations were carried out both in quasi-static and direct current (DC) modes. It was observed that electrode-electrolyte interface and tissue capacitance could be safely neglected in our model based on the magnitude of the applied voltage stimulus and frequencies under consideration. Therefore, all simulations were conducted in DC mode. Thresholds and lateral extents of the stimulation were computed for electrode sizes corresponding to existing and self-fabricated implants. The values and trends obtained were in agreement with experiments from literature and our collaborators at the les Hรดpitaux Universitaires de Genรจve (HUG). In the subretinal stimulation scheme, the computed variation of impedance with electrode-retina distance correlated well with time varying in vivo impedance measurements in rats conducted in collaboration with the Institut de la Vision, INSERM, Paris. Finally, it was also reiterated that the currently employed retinal prostheses are not very efficient due to a significant distance between the stimulation electrode and the retinal cells. In addition, I present a new experimental technique for measuring the absolute and local resistivity profile in high-resolution along the retinal depth, based on impedance spectroscopy using a bipolar microprobe. This experiment was devised to extract the resistivity profile of an embryonic chick retina to construct an electrical model for the simulation framework to simulate in vitro retinal stimulation experiments conducted by HUG collaborators. We validated the capability of the technique in rat and embryonic chick retinas. In conclusion, the computational framework presented in this dissertation is more realistic than those found in literature, but represents only a preliminary step towards an accurate model of a real implantation scenario in vivo. The simulation results are in agreement with results from clinical trials in humans for epiretinal configuration (literature) and with in vitro results for epiretinal and subretinal stimulation applied to chick retinas (HUG). The developed simulation framework computes quantities that can form a reference for quality control during surgery while inserting implants in the eye and functionality checks by electrophysiologists. Furthermore, this framework is useful in deciding the specifications of stimulation electrodes such as optimal size, shape, material, array density, and the position of the reference electrode to name a few. The work presented here offers to aid in optimising retinal prostheses and implantation procedures for patients and eventually contributes towards improving their quality of life

    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

    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

    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
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