257 research outputs found

    Wireless body sensor networks for health-monitoring applications

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    This is an author-created, un-copyedited version of an article accepted for publication in Physiological Measurement. The publisher is not responsible for any errors or omissions in this version of the manuscript or any version derived from it. The Version of Record is available online at http://dx.doi.org/10.1088/0967-3334/29/11/R01

    A self-powered single-chip wireless sensor platform

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    Internet of thingsโ€ require a large array of low-cost sensor nodes, wireless connectivity, low power operation and system intelligence. On the other hand, wireless biomedical implants demand additional specifications including small form factor, a choice of wireless operating frequencies within the window for minimum tissue loss and bio-compatibility This thesis describes a low power and low-cost internet of things system suitable for implant applications that is implemented in its entirety on a single standard CMOS chip with an area smaller than 0.5 mm2. The chip includes integrated sensors, ultra-low-power transceivers, and additional interface and digital control electronics while it does not require a battery or complex packaging schemes. It is powered through electromagnetic (EM) radiation using its on-chip miniature antenna that also assists with transmit and receive functions. The chip can operate at a short distance (a few centimeters) from an EM source that also serves as its wireless link. Design methodology, system simulation and optimization and early measurement results are presented

    Low power CMOS IC, biosensor and wireless power transfer techniques for wireless sensor network application

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    The emerging field of wireless sensor network (WSN) is receiving great attention due to the interest in healthcare. Traditional battery-powered devices suffer from large size, weight and secondary replacement surgery after the battery life-time which is often not desired, especially for an implantable application. Thus an energy harvesting method needs to be investigated. In addition to energy harvesting, the sensor network needs to be low power to extend the wireless power transfer distance and meet the regulation on RF power exposed to human tissue (specific absorption ratio). Also, miniature sensor integration is another challenge since most of the commercial sensors have rigid form or have a bulky size. The objective of this thesis is to provide solutions to the aforementioned challenges

    Kirigami-inspired, highly stretchable micro-supercapacitor patches fabricated by laser conversion and cutting.

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    The recent developments in material sciences and rational structural designs have advanced the field of compliant and deformable electronics systems. However, many of these systems are limited in either overall stretchability or areal coverage of functional components. Here, we design a construct inspired by Kirigami for highly deformable micro-supercapacitor patches with high areal coverages of electrode and electrolyte materials. These patches can be fabricated in simple and efficient steps by laser-assisted graphitic conversion and cutting. Because the Kirigami cuts significantly increase structural compliance, segments in the patches can buckle, rotate, bend and twist to accommodate large overall deformations with only a small strain (<3%) in active electrode areas. Electrochemical testing results have proved that electrical and electrochemical performances are preserved under large deformation, with less than 2% change in capacitance when the patch is elongated to 382.5% of its initial length. The high design flexibility can enable various types of electrical connections among an array of supercapacitors residing in one patch, by using different Kirigami designs

    ์™„์ „ ์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

    ์†Œํ˜•๋™๋ฌผ์˜ ๋‡Œ์‹ ๊ฒฝ ์ž๊ทน์„ ์œ„ํ•œ ์™„์ „ ์ด์‹ํ˜• ์‹ ๊ฒฝ์ž๊ทน๊ธฐ

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    ํ•™์œ„๋…ผ๋ฌธ(๋ฐ•์‚ฌ)--์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› :๊ณต๊ณผ๋Œ€ํ•™ ์ „๊ธฐยท์ •๋ณด๊ณตํ•™๋ถ€,2020. 2. ๊น€์„ฑ์ค€.In this study, a fully implantable neural stimulator that is designed to stimulate the brain in the small animal is described. Electrical stimulation of the small animal is applicable to pre-clinical study, and behavior study for neuroscience research, etc. Especially, behavior study of the freely moving animal is useful to observe the modulation of sensory and motor functions by the stimulation. It involves conditioning animal's movement response through directional neural stimulation on the region of interest. The main technique that enables such applications is the development of an implantable neural stimulator. Implantable neural stimulator is used to modulate the behavior of the animal, while it ensures the free movement of the animals. Therefore, stable operation in vivo and device size are important issues in the design of implantable neural stimulators. Conventional neural stimulators for brain stimulation of small animal are comprised of electrodes implanted in the brain and a pulse generation circuit mounted on the back of the animal. The electrical stimulation generated from the circuit is conveyed to the target region by the electrodes wire-connected with the circuit. The devices are powered by a large battery, and controlled by a microcontroller unit. While it represents a simple approach, it is subject to various potential risks including short operation time, infection at the wound, mechanical failure of the device, and animals being hindered to move naturally, etc. A neural stimulator that is miniaturized, fully implantable, low-powered, and capable of wireless communication is required. In this dissertation, a fully implantable stimulator with remote controllability, compact size, and minimal power consumption is suggested for freely moving animal application. The stimulator consists of modular units of surface-type and depth-type arrays for accessing target brain area, package for accommodating the stimulating electronics all of which are assembled after independent fabrication and implantation using customized flat cables and connectors. The electronics in the package contains ZigBee telemetry for low-power wireless communication, inductive link for recharging lithium battery, and an ASIC that generates biphasic pulse for neural stimulation. A dual-mode power-saving scheme with a duty cycling was applied to minimize the power consumption. All modules were packaged using liquid crystal polymer (LCP) to avoid any chemical reaction after implantation. To evaluate the fabricated stimulator, wireless operation test was conducted. Signal-to-Noise Ratio (SNR) of the ZigBee telemetry were measured, and its communication range and data streaming capacity were tested. The amount of power delivered during the charging session depending on the coil distance was measured. After the evaluation of the device functionality, the stimulator was implanted into rats to train the animals to turn to the left (or right) following a directional cue applied to the barrel cortex. Functionality of the device was also demonstrated in a three-dimensional maze structure, by guiding the rats to navigate better in the maze. Finally, several aspects of the fabricated device were discussed further.๋ณธ ์—ฐ๊ตฌ์—์„œ๋Š” ์†Œํ˜• ๋™๋ฌผ์˜ ๋‘๋‡Œ๋ฅผ ์ž๊ทนํ•˜๊ธฐ ์œ„ํ•œ ์™„์ „ ์ด์‹ํ˜• ์‹ ๊ฒฝ์ž๊ทน๊ธฐ๊ฐ€ ๊ฐœ๋ฐœ๋˜์—ˆ๋‹ค. ์†Œํ˜• ๋™๋ฌผ์˜ ์ „๊ธฐ์ž๊ทน์€ ์ „์ž„์ƒ ์—ฐ๊ตฌ, ์‹ ๊ฒฝ๊ณผํ•™ ์—ฐ๊ตฌ๋ฅผ ์œ„ํ•œ ํ–‰๋™์—ฐ๊ตฌ ๋“ฑ์— ํ™œ์šฉ๋œ๋‹ค. ํŠนํžˆ, ์ž์œ ๋กญ๊ฒŒ ์›€์ง์ด๋Š” ๋™๋ฌผ์„ ๋Œ€์ƒ์œผ๋กœ ํ•œ ํ–‰๋™ ์—ฐ๊ตฌ๋Š” ์ž๊ทน์— ์˜ํ•œ ๊ฐ๊ฐ ๋ฐ ์šด๋™ ๊ธฐ๋Šฅ์˜ ์กฐ์ ˆ์„ ๊ด€์ฐฐํ•˜๋Š” ๋ฐ ์œ ์šฉํ•˜๊ฒŒ ํ™œ์šฉ๋œ๋‹ค. ํ–‰๋™ ์—ฐ๊ตฌ๋Š” ๋‘๋‡Œ์˜ ํŠน์ • ๊ด€์‹ฌ ์˜์—ญ์„ ์ง์ ‘์ ์œผ๋กœ ์ž๊ทนํ•˜์—ฌ ๋™๋ฌผ์˜ ํ–‰๋™๋ฐ˜์‘์„ ์กฐ๊ฑดํ™”ํ•˜๋Š” ๋ฐฉ์‹์œผ๋กœ ์ˆ˜ํ–‰๋œ๋‹ค. ์ด๋Ÿฌํ•œ ์ ์šฉ์„ ๊ฐ€๋Šฅ์ผ€ ํ•˜๋Š” ํ•ต์‹ฌ๊ธฐ์ˆ ์€ ์ด์‹ํ˜• ์‹ ๊ฒฝ์ž๊ทน๊ธฐ์˜ ๊ฐœ๋ฐœ์ด๋‹ค. ์ด์‹ํ˜• ์‹ ๊ฒฝ์ž๊ทน๊ธฐ๋Š” ๋™๋ฌผ์˜ ์›€์ง์ž„์„ ๋ฐฉํ•ดํ•˜์ง€ ์•Š์œผ๋ฉด์„œ๋„ ๊ทธ ํ–‰๋™์„ ์กฐ์ ˆํ•˜๊ธฐ ์œ„ํ•ด ์‚ฌ์šฉ๋œ๋‹ค. ๋”ฐ๋ผ์„œ ๋™๋ฌผ ๋‚ด์—์„œ์˜ ์•ˆ์ •์ ์ธ ๋™์ž‘๊ณผ ์žฅ์น˜์˜ ํฌ๊ธฐ๊ฐ€ ์ด์‹ํ˜• ์‹ ๊ฒฝ์ž๊ทน๊ธฐ๋ฅผ ์„ค๊ณ„ํ•จ์— ์žˆ์–ด ์ค‘์š”ํ•œ ๋ฌธ์ œ์ด๋‹ค. ๊ธฐ์กด์˜ ์‹ ๊ฒฝ์ž๊ทน๊ธฐ๋Š” ๋‘๋‡Œ์— ์ด์‹๋˜๋Š” ์ „๊ทน ๋ถ€๋ถ„๊ณผ, ๋™๋ฌผ์˜ ๋“ฑ ๋ถ€๋ถ„์— ์œ„์น˜ํ•œ ํšŒ๋กœ๋ถ€๋ถ„์œผ๋กœ ๊ตฌ์„ฑ๋œ๋‹ค. ํšŒ๋กœ์—์„œ ์ƒ์‚ฐ๋œ ์ „๊ธฐ์ž๊ทน์€ ํšŒ๋กœ์™€ ์ „์„ ์œผ๋กœ ์—ฐ๊ฒฐ๋œ ์ „๊ทน์„ ํ†ตํ•ด ๋ชฉํ‘œ ์ง€์ ์œผ๋กœ ์ „๋‹ฌ๋œ๋‹ค. ์žฅ์น˜๋Š” ๋ฐฐํ„ฐ๋ฆฌ์— ์˜ํ•ด ๊ตฌ๋™๋˜๋ฉฐ, ๋‚ด์žฅ๋œ ๋งˆ์ดํฌ๋กœ ์ปจํŠธ๋กค๋Ÿฌ์— ์˜ํ•ด ์ œ์–ด๋œ๋‹ค. ์ด๋Š” ์‰ฝ๊ณ  ๊ฐ„๋‹จํ•œ ์ ‘๊ทผ๋ฐฉ์‹์ด์ง€๋งŒ, ์งง์€ ๋™์ž‘์‹œ๊ฐ„, ์ด์‹๋ถ€์œ„์˜ ๊ฐ์—ผ์ด๋‚˜ ์žฅ์น˜์˜ ๊ธฐ๊ณ„์  ๊ฒฐํ•จ, ๊ทธ๋ฆฌ๊ณ  ๋™๋ฌผ์˜ ์ž์—ฐ์Šค๋Ÿฌ์šด ์›€์ง์ž„ ๋ฐฉํ•ด ๋“ฑ ์—ฌ๋Ÿฌ ๋ฌธ์ œ์ ์„ ์•ผ๊ธฐํ•  ์ˆ˜ ์žˆ๋‹ค. ์ด๋Ÿฌํ•œ ๋ฌธ์ œ์˜ ๊ฐœ์„ ์„ ์œ„ํ•ด ๋ฌด์„ ํ†ต์‹ ์ด ๊ฐ€๋Šฅํ•˜๊ณ , ์ €์ „๋ ฅ, ์†Œํ˜•ํ™”๋œ ์™„์ „ ์ด์‹ํ˜• ์‹ ๊ฒฝ์ž๊ทน๊ธฐ์˜ ์„ค๊ณ„๊ฐ€ ํ•„์š”ํ•˜๋‹ค. ๋ณธ ์—ฐ๊ตฌ์—์„œ๋Š” ์ž์œ ๋กญ๊ฒŒ ์›€์ง์ด๋Š” ๋™๋ฌผ์— ์ ์šฉํ•˜๊ธฐ ์œ„ํ•˜์—ฌ ์›๊ฒฉ ์ œ์–ด๊ฐ€ ๊ฐ€๋Šฅํ•˜๋ฉฐ, ํฌ๊ธฐ๊ฐ€ ์ž‘๊ณ , ์†Œ๋ชจ์ „๋ ฅ์ด ์ตœ์†Œํ™”๋œ ์™„์ „์ด์‹ํ˜• ์ž๊ทน๊ธฐ๋ฅผ ์ œ์‹œํ•œ๋‹ค. ์„ค๊ณ„๋œ ์‹ ๊ฒฝ์ž๊ทน๊ธฐ๋Š” ๋ชฉํ‘œ๋กœ ํ•˜๋Š” ๋‘๋‡Œ ์˜์—ญ์— ์ ‘๊ทผํ•  ์ˆ˜ ์žˆ๋Š” ํ‘œ๋ฉดํ˜• ์ „๊ทน๊ณผ ํƒ์นจํ˜• ์ „๊ทน, ๊ทธ๋ฆฌ๊ณ  ์ž๊ทน ํŽ„์Šค ์ƒ์„ฑ ํšŒ๋กœ๋ฅผ ํฌํ•จํ•˜๋Š” ํŒจํ‚ค์ง€ ๋“ฑ์˜ ๋ชจ๋“ˆ๋“ค๋กœ ๊ตฌ์„ฑ๋˜๋ฉฐ, ๊ฐ๊ฐ์˜ ๋ชจ๋“ˆ์€ ๋…๋ฆฝ์ ์œผ๋กœ ์ œ์ž‘๋˜์–ด ๋™๋ฌผ์— ์ด์‹๋œ ๋’ค ์ผ€์ด๋ธ”๊ณผ ์ปค๋„ฅํ„ฐ๋กœ ์—ฐ๊ฒฐ๋œ๋‹ค. ํŒจํ‚ค์ง€ ๋‚ด๋ถ€์˜ ํšŒ๋กœ๋Š” ์ €์ „๋ ฅ ๋ฌด์„ ํ†ต์‹ ์„ ์œ„ํ•œ ์ง€๊ทธ๋น„ ํŠธ๋žœ์‹œ๋ฒ„, ๋ฆฌํŠฌ ๋ฐฐํ„ฐ๋ฆฌ์˜ ์žฌ์ถฉ์ „์„ ์œ„ํ•œ ์ธ๋•ํ‹ฐ๋ธŒ ๋งํฌ, ๊ทธ๋ฆฌ๊ณ  ์‹ ๊ฒฝ์ž๊ทน์„ ์œ„ํ•œ ์ด์ƒ์„ฑ ์ž๊ทนํŒŒํ˜•์„ ์ƒ์„ฑํ•˜๋Š” ASIC์œผ๋กœ ๊ตฌ์„ฑ๋œ๋‹ค. ์ „๋ ฅ ์ ˆ๊ฐ์„ ์œ„ํ•ด ๋‘ ๊ฐœ์˜ ๋ชจ๋“œ๋ฅผ ํ†ตํ•ด ์‚ฌ์šฉ๋ฅ ์„ ์กฐ์ ˆํ•˜๋Š” ๋ฐฉ์‹์ด ์žฅ์น˜์— ์ ์šฉ๋œ๋‹ค. ๋ชจ๋“  ๋ชจ๋“ˆ๋“ค์€ ์ด์‹ ํ›„์˜ ์ƒ๋ฌผํ•™์ , ํ™”ํ•™์  ์•ˆ์ •์„ฑ์„ ์œ„ํ•ด ์•ก์ • ํด๋ฆฌ๋จธ๋กœ ํŒจํ‚ค์ง•๋˜์—ˆ๋‹ค. ์ œ์ž‘๋œ ์‹ ๊ฒฝ์ž๊ทน๊ธฐ๋ฅผ ํ‰๊ฐ€ํ•˜๊ธฐ ์œ„ํ•ด ๋ฌด์„  ๋™์ž‘ ํ…Œ์ŠคํŠธ๊ฐ€ ์ˆ˜ํ–‰๋˜์—ˆ๋‹ค. ์ง€๊ทธ๋น„ ํ†ต์‹ ์˜ ์‹ ํ˜ธ ๋Œ€ ์žก์Œ๋น„๊ฐ€ ์ธก์ •๋˜์—ˆ์œผ๋ฉฐ, ํ•ด๋‹น ํ†ต์‹ ์˜ ๋™์ž‘๊ฑฐ๋ฆฌ ๋ฐ ๋ฐ์ดํ„ฐ ์ŠคํŠธ๋ฆฌ๋ฐ ์„ฑ๋Šฅ์ด ๊ฒ€์‚ฌ๋˜์—ˆ๊ณ , ์žฅ์น˜์˜ ์ถฉ์ „์ด ์ˆ˜ํ–‰๋  ๋•Œ ์ฝ”์ผ๊ฐ„์˜ ๊ฑฐ๋ฆฌ์— ๋”ฐ๋ผ ์ „์†ก๋˜๋Š” ์ „๋ ฅ์˜ ํฌ๊ธฐ๊ฐ€ ์ธก์ •๋˜์—ˆ๋‹ค. ์žฅ์น˜์˜ ํ‰๊ฐ€ ์ดํ›„, ์‹ ๊ฒฝ์ž๊ทน๊ธฐ๋Š” ์ฅ์— ์ด์‹๋˜์—ˆ์œผ๋ฉฐ, ํ•ด๋‹น ๋™๋ฌผ์€ ์ด์‹๋œ ์žฅ์น˜๋ฅผ ์ด์šฉํ•ด ๋ฐฉํ–ฅ ์‹ ํ˜ธ์— ๋”ฐ๋ผ ์ขŒ์šฐ๋กœ ์ด๋™ํ•˜๋„๋ก ํ›ˆ๋ จ๋˜์—ˆ๋‹ค. ๋˜ํ•œ, 3์ฐจ์› ๋ฏธ๋กœ ๊ตฌ์กฐ์—์„œ ์ฅ์˜ ์ด๋™๋ฐฉํ–ฅ์„ ์œ ๋„ํ•˜๋Š” ์‹คํ—˜์„ ํ†ตํ•˜์—ฌ ์žฅ์น˜์˜ ๊ธฐ๋Šฅ์„ฑ์„ ์ถ”๊ฐ€์ ์œผ๋กœ ๊ฒ€์ฆํ•˜์˜€๋‹ค. ๋งˆ์ง€๋ง‰์œผ๋กœ, ์ œ์ž‘๋œ ์žฅ์น˜์˜ ํŠน์ง•์ด ์—ฌ๋Ÿฌ ์ธก๋ฉด์—์„œ ์‹ฌ์ธต์ ์œผ๋กœ ๋…ผ์˜๋˜์—ˆ๋‹ค.Chapter 1 : Introduction 1 1.1. Neural Interface 2 1.1.1. Concept 2 1.1.2. Major Approaches 3 1.2. Neural Stimulator for Animal Brain Stimulation 5 1.2.1. Concept 5 1.2.2. Neural Stimulator for Freely Moving Small Animal 7 1.3. Suggested Approaches 8 1.3.1. Wireless Communication 8 1.3.2. Power Management 9 1.3.2.1. Wireless Power Transmission 10 1.3.2.2. Energy Harvesting 11 1.3.3. Full implantation 14 1.3.3.1. Polymer Packaging 14 1.3.3.2. Modular Configuration 16 1.4. Objectives of This Dissertation 16 Chapter 2 : Methods 18 2.1. Overview 19 2.1.1. Circuit Description 20 2.1.1.1. Pulse Generator ASIC 21 2.1.1.2. ZigBee Transceiver 23 2.1.1.3. Inductive Link 24 2.1.1.4. Energy Harvester 25 2.1.1.5. Surrounding Circuitries 26 2.1.2. Software Description 27 2.2. Antenna Design 29 2.2.1. RF Antenna 30 2.2.1.1. Design of Monopole Antenna 31 2.2.1.2. FEM Simulation 31 2.2.2. Inductive Link 36 2.2.2.1. Design of Coil Antenna 36 2.2.2.2. FEM Simulation 38 2.3. Device Fabrication 41 2.3.1. Circuit Assembly 41 2.3.2. Packaging 42 2.3.3. Electrode, Feedthrough, Cable, and Connector 43 2.4. Evaluations 45 2.4.1. Wireless Operation Test 46 2.4.1.1. Signal-to-Noise Ratio (SNR) Measurement 46 2.4.1.2. Communication Range Test 47 2.4.1.3. Device Operation Monitoring Test 48 2.4.2. Wireless Power Transmission 49 2.4.3. Electrochemical Measurements In Vitro 50 2.4.4. Animal Testing In Vivo 52 Chapter 3 : Results 57 3.1. Fabricated System 58 3.2. Wireless Operation Test 59 3.2.1. Signal-to-Noise Ratio Measurement 59 3.2.2. Communication Range Test 61 3.2.3. Device Operation Monitoring Test 62 3.3. Wireless Power Transmission 64 3.4. Electrochemical Measurements In Vitro 65 3.5. Animal Testing In Vivo 67 Chapter 4 : Discussion 73 4.1. Comparison with Conventional Devices 74 4.2. Safety of Device Operation 76 4.2.1. Safe Electrical Stimulation 76 4.2.2. Safe Wireless Power Transmission 80 4.3. Potential Applications 84 4.4. Opportunities for Further Improvements 86 4.4.1. Weight and Size 86 4.4.2. Long-Term Reliability 93 Chapter 5 : Conclusion 96 Reference 98 Appendix - Liquid Crystal Polymer (LCP) -Based Spinal Cord Stimulator 107 ๊ตญ๋ฌธ ์ดˆ๋ก 138 ๊ฐ์‚ฌ์˜ ๊ธ€ 140Docto

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    Neuromuscular diseases manifest by a handful of known phenotypes affecting the peripheral nerves, skeletal muscle fibers, and neuromuscular junction. Common signs of these diseases include demyelination, myasthenia, atrophy, and aberrant muscle activityโ€”all of which may be tracked over time using one or more electrophysiological markers. Mice, which are the predominant mammalian model for most human diseases, have been used to study congenital neuromuscular diseases for decades. However, our understanding of the mechanisms underlying these pathologies is still incomplete. This is in part due to the lack of instrumentation available to easily collect longitudinal, in vivo electrophysiological activity from mice. There remains a need for a fully wireless, batteryless, and implantable recording system that can be adapted for a variety of electrophysiological measurements and also enable long-term, continuous data collection in very small animals. To meet this need a miniature, chronically implantable device has been developed that is capable of wirelessly coupling energy from electromagnetic fields while implanted within a body. This device can both record and trigger bioelectric events and may be chronically implanted in rodents as small as mice. This grants investigators the ability to continuously observe electrophysiological changes corresponding to disease progression in a single, freely behaving, untethered animal. The fully wireless closed-loop system is an adaptable solution for a range of long-term mechanistic and diagnostic studies in rodent disease models. Its high level of functionality, adjustable parameters, accessible building blocks, reprogrammable firmware, and modular electrode interface offer flexibility that is distinctive among fully implantable recording or stimulating devices. The key significance of this work is that it has generated novel instrumentation in the form of a fully implantable bioelectric recording device having a much higher level of functionality than any other fully wireless system available for mouse work. This has incidentally led to contributions in the areas of wireless power transfer and neural interfaces for upper-limb prosthesis control. Herein the solution space for wireless power transfer is examined including a close inspection of far-field power transfer to implanted bioelectric sensors. Methods of design and characterization for the iterative development of the device are detailed. Furthermore, its performance and utility in remote bioelectric sensing applications is demonstrated with humans, rats, healthy mice, and mouse models for degenerative neuromuscular and motoneuron diseases

    Integrated Circuits and Systems for Smart Sensory Applications

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    Connected intelligent sensing reshapes our society by empowering people with increasing new ways of mutual interactions. As integration technologies keep their scaling roadmap, the horizon of sensory applications is rapidly widening, thanks to myriad light-weight low-power or, in same cases even self-powered, smart devices with high-connectivity capabilities. CMOS integrated circuits technology is the best candidate to supply the required smartness and to pioneer these emerging sensory systems. As a result, new challenges are arising around the design of these integrated circuits and systems for sensory applications in terms of low-power edge computing, power management strategies, low-range wireless communications, integration with sensing devices. In this Special Issue recent advances in application-specific integrated circuits (ASIC) and systems for smart sensory applications in the following five emerging topics: (I) dedicated short-range communications transceivers; (II) digital smart sensors, (III) implantable neural interfaces, (IV) Power Management Strategies in wireless sensor nodes and (V) neuromorphic hardware

    Low-Noise Energy-Efficient Sensor Interface Circuits

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    Today, the Internet of Things (IoT) refers to a concept of connecting any devices on network where environmental data around us is collected by sensors and shared across platforms. The IoT devices often have small form factors and limited battery capacity; they call for low-power, low-noise sensor interface circuits to achieve high resolution and long battery life. This dissertation focuses on CMOS sensor interface circuit techniques for a MEMS capacitive pressure sensor, thermopile array, and capacitive microphone. Ambient pressure is measured in the form of capacitance. This work propose two capacitance-to-digital converters (CDC): a dual-slope CDC employs an energy efficient charge subtraction and dual comparator scheme; an incremental zoom-in CDC largely reduces oversampling ratio by using 9b zoom-in SAR, significantly improving conversion energy. An infrared gesture recognition system-on-chip is then proposed. A hand emits infrared radiation, and it forms an image on a thermopile array. The signal is amplified by a low-noise instrumentation chopper amplifier, filtered by a low-power 30Hz LPF to remove out-band noise including the chopper frequency and its harmonics, and digitized by an ADC. Finally, a motion history image based DSP analyzes the waveform to detect specific hand gestures. Lastly, a microphone preamplifier represents one key challenge in enabling voice interfaces, which are expected to play a dominant role in future IoT devices. A newly proposed switched-bias preamplifier uses switched-MOSFET to reduce 1/f noise inherently.PHDElectrical EngineeringUniversity of Michigan, Horace H. Rackham School of Graduate Studieshttps://deepblue.lib.umich.edu/bitstream/2027.42/137061/1/chaseoh_1.pd
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