15 research outputs found

    A Bidirectional ASIC for Active Microchannel Neural Interfaces

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    Closed-loop neural prostheses have been widely used as a therapeutic strategy for a range of neurological, inflammatory, and cardiac disorders. Vagus nerve stimulation has shown promising results for the monitoring and treatment of post-operation symptoms of heart transplant recipients. A prime candidate for selective control of vagal fibres is the microchannel neural interface (MNI), which provides a suitable environment for neural growth and enables effective control of the neural activity in a bidirectional system. This paper presents the design and simulation of an ASIC in 180-nm high-voltage CMOS technology, capable of concurrent stimulation and neural recording with artifact reduction in a seven-channel MNI. The analog front-end amplifies action potentials with a gain of 40 dB, presenting a common-mode rejection ratio of 81 dB at 1 kHz and a noise efficiency factor of 5.13 over the 300 Hz to 5 kHz recording bandwidth. A 42-V-compliant stimulation module operates concurrently and independently across the seven channels

    Novel methods and circuits for field shaping in deep brain stimulation

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    Deep Brain Stimulation (DBS) is a clinical tool used to treat various neurological disorders, including tremor, Parkinsonโ€™s disease (PD) and dystonia. Todayโ€™s routine use of this therapy is a result of the pioneering work of Benabid and colleagues, who assessed the benefits of applying high-frequency stimulation to the ventral intermediate nucleus and reported substantial long-term improvements in PD patients. Clinical applications of DBS, however, have preceded research and left a number of challenges to optimise this therapeutic technique in terms of quality, therapy costs and understanding of its underlying mechanisms. DBS is based on monopolar or bipolar stimulation techniques, which are characterised by a limited control over the effects of stimulation and, in particular, over the shape and direction of the electric field propagating around the electrode. This thesis proposes two approaches to achieve dynamic electric field control during deep brain stimulation. The first method is based on the use of current-steering multipolar electrode drive, adopted to split the stimulation current between 2 or more contacts, in order to shift the stimulation field to a desired location. The work included the design, development and testing of an integrated circuit current-steering tripolar current source, developed in AMS 0.35ฮผm technology. The second method is based on the use of phased arrays (PAs) in order to create an electromagnetic beam, which can be steered to a desired location. Computational models have shown the ability to steer and focus the electromagnetic fields in brain tissue by varying the phase and frequency of stimulation. Modelling simulations have shown that the use of multipolar electrode configurations is essential to achieve dynamic control over the shape and area of tissue stimulated. Configurations with larger number of cathodes allow for several stimulation patterns, making this stimulation approach beneficial in a clinical environment. Tests on the performance of the integrated tripolar current source have shown its capability to generate stimulation currents up to 1.86mA, to linearly steer the stimulation current to one of the anodes and to generate biphasic square and exponential current pulses, with time constant up to 28ms. In vitro experiments, carried out to map the electric potential generated by a dynamic tripolar current source, validated the model results, by showing the ability to shape the potential distribution around the electrode during stimulation. Finally, models of the behaviour of PA fields in brain tissue have shown that PAs could be introduced to DBS to allow for more accurate field steering and shaping in DBS. This thesis presents methods and implementations to achieve dynamic field shaping in DBS, which can greatly ameliorate the efficacy of clinical DBS

    VLSI Circuits for Bidirectional Neural Interfaces

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    Medical devices that deliver electrical stimulation to neural tissue are important clinical tools that can augment or replace pharmacological therapies. The success of such devices has led to an explosion of interest in the field, termed neuromodulation, with a diverse set of disorders being targeted for device-based treatment. Nevertheless, a large degree of uncertainty surrounds how and why these devices are effective. This uncertainty limits the ability to optimize therapy and gives rise to deleterious side effects. An emerging approach to improve neuromodulation efficacy and to better understand its mechanisms is to record bioelectric activity during stimulation. Understanding how stimulation affects electrophysiology can provide insights into disease, and also provides a feedback signal to autonomously tune stimulation parameters to improve efficacy or decrease side-effects. The aims of this work were taken up to advance the state-of-the-art in neuro-interface technology to enable closed-loop neuromodulation therapies. Long term monitoring of neuronal activity in awake and behaving subjects can provide critical insights into brain dynamics that can inform system-level design of closed-loop neuromodulation systems. Thus, first we designed a system that wirelessly telemetered electrocorticography signals from awake-behaving rats. We hypothesized that such a system could be useful for detecting sporadic but clinically relevant electrophysiological events. In an 18-hour, overnight recording, seizure activity was detected in a pre-clinical rodent model of global ischemic brain injury. We subsequently turned to the design of neurostimulation circuits. Three critical features of neurostimulation devices are safety, programmability, and specificity. We conceived and implemented a neurostimulator architecture that utilizes a compact on-chip circuit for charge balancing (safety), digital-to-analog converter calibration (programmability) and current steering (specificity). Charge balancing accuracy was measured at better than 0.3%, the digital-to-analog converters achieved 8-bit resolution, and physiological effects of current steering stimulation were demonstrated in an anesthetized rat. Lastly, to implement a bidirectional neural interface, both the recording and stimulation circuits were fabricated on a single chip. In doing so, we implemented a low noise, ultra-low power recording front end with a high dynamic range. The recording circuits achieved a signal-to-noise ratio of 58 dB and a spurious-free dynamic range of better than 70 dB, while consuming 5.5 ฮผW per channel. We demonstrated bidirectional operation of the chip by recording cardiac modulation induced through vagus nerve stimulation, and demonstrated closed-loop control of cardiac rhythm

    ์™„์ „ ์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

    A fully-programmable neural interface for multi-polar, multi-channel stimulation strategies

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    Advances in Microelectronics for Implantable Medical Devices

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    Implantable medical devices provide therapy to treat numerous health conditions as well as monitoring and diagnosis. Over the years, the development of these devices has seen remarkable progress thanks to tremendous advances in microelectronics, electrode technology, packaging and signal processing techniques. Many of todayโ€™s implantable devices use wireless technology to supply power and provide communication. There are many challenges when creating an implantable device. Issues such as reliable and fast bidirectional data communication, efficient power delivery to the implantable circuits, low noise and low power for the recording part of the system, and delivery of safe stimulation to avoid tissue and electrode damage are some of the challenges faced by the microelectronics circuit designer. This paper provides a review of advances in microelectronics over the last decade or so for implantable medical devices and systems. The focus is on neural recording and stimulation circuits suitable for fabrication in modern silicon process technologies and biotelemetry methods for power and data transfer, with particular emphasis on methods employing radio frequency inductive coupling. The paper concludes by highlighting some of the issues that will drive future research in the field

    ๊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

    MiniVStimA: A miniaturized easy to use implantable electrical stimulator for small laboratory animals

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    According to PubMed, roughly 10% of the annually added publications are describing findings from the small animal model (mice and rats), including investigations in the field of muscle physiology and training. A subset of this research requires neural stimulation with flexible adjustments of stimulation parameters, highlighting the need for reliable implantable electrical stimulators, small enough (~1 cm3), that even mice can tolerate them without impairing their movement. The MiniVStimA is a battery-powered implant for nerve stimulation with an outer diameter of 15 mm and an encapsulated volume of 1.2 cm3 in its smallest variation. It can be pre-programmed according to the experimental protocol and controlled after implantation with a magnet. It delivers constant current charge-balanced monophasic rectangular pulses up to 2 mA and 1 ms phase width (1 kฮฉ load). The circuitry is optimized for small volume and energy efficiency. Due to the variation of the internal oscillator (31 kHz ยฑ 10%), calibration measures must be implemented during the manufacturing process, which can reduce the deviation of the frequency related parameters down to ยฑ 1%. The expected lifetime of the smaller (larger) version is 100 (480) days for stimulation with 7 Hz all day and 10 (48) days for stimulation with 100 Hz. Devices with complex stimulation patterns for nerve stimulation have been successfully used in two in-vivo studies, lasting up to nine weeks. The implant worked fully self-contained while the animal stayed in its familiar environment. External components are not required during the entire time

    Advances in Microelectronics for Implantable Medical Devices

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