48 research outputs found

    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

    Extending the limits of wireless power transfer to miniaturized implantable electronic devices

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    Implantable electronic devices have been evolving at an astonishing pace, due to the development of fabrication techniques and consequent miniaturization, and a higher efficiency of sensors, actuators, processors and packaging. Implantable devices, with sensing, communication, actuation, and wireless power are of high demand, as they pave the way for new applications and therapies. Long-term and reliable powering of such devices has been a challenge since they were first introduced. This paper presents a review of representative state of the art implantable electronic devices, with wireless power capabilities, ranging from inductive coupling to ultrasounds. The different power transmission mechanisms are compared, to show that, without new methodologies, the power that can be safely transmitted to an implant is reaching its limit. Consequently, a new approach, capable of multiplying the available power inside a brain phantom for the same specific absorption rate (SAR) value, is proposed. In this paper, a setup was implemented to quadruple the power available in the implant, without breaking the SAR limits. A brain phantom was used for concept verification, with both simulation and measurement data.This work is supported by FCT with the reference project PTDC/EEI-TEL/5250/2014, by FEDER funds through Projecto 3599-Promover a Produรงรฃo Cientรญfica e Desenvolvimento Tecnolรณgico e a Constituiรงรฃo de Redes Temรกticas (3599-PPCDT) and by grant SFRH/BD/116554/2016.info:eu-repo/semantics/publishedVersio

    Next generation RFID telemetry design for biomedical implants.

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    The design and development of a Radio Frequency Identification (RFID) based pressure-sensing system to increase the range of current Intra-Ocular Pressure (IOP) sensing systems is described in this dissertation. A large number of current systems use near-field inductive coupling for the transfer of energy and data, which limits the operational range to only a few centimeters and does not allow for continuous monitoring of pressure. Increasing the powering range of the telemetry system will offer the possibility of continuous monitoring since the reader can be attached to a waist belt or put on a night stand when sleeping. The system developed as part of this research operates at Ultra-High Frequencies (UHF) and makes use of the electromagnetic far field to transfer energy and data, which increases the potential range of operation and allows for the use of smaller antennas. The system uses a novel electrically small antenna (ESA) to receive the incident RF signal. A four stage Schottky circuit rectifies and multiplies the received RF signal and provides DC power to a Colpitts oscillator. The oscillator is connected to a pressure sensor and provides an output signal frequency that is proportional to the change in pressure. The system was fabricated using a mature, inexpensive process. The performance of the system compares well with current state of the art, but uses a smaller antenna and a less expensive fabrication process. The system was able to operate over the desired range of 1 m using a half-wave dipole antenna. It was possible to power the system over a range of at least 6.4 cm when the electrically small antenna was used as the receiving antenna

    New Analysis and Design of a RF Rectifier for RFID and Implantable Devices

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    New design and optimization of charge pump rectifiers using diode-connected MOS transistors is presented in this paper. An analysis of the output voltage and Power Conversion Efficiency (PCE) is given to guide and evaluate the new design. A novel diode-connected MOS transistor for UHF rectifiers is presented and optimized, and a high efficiency N-stage charge pump rectifier based on this new diode-connected MOS transistor is designed and fabricated in a SMIC 0.18-ฮผm 2P3M CMOS embedded EEPROM process. The new diode achieves 315 mV turn-on voltage and 415 nA reverse saturation leakage current. Compared with the traditional rectifier, the one based on the proposed diode-connected MOS has higher PCE, higher output voltage and smaller ripple coefficient. When the RF input is a 900-MHz sinusoid signal with the power ranging from โˆ’15 dBm to โˆ’4 dBm, PCEs of the charge pump rectifier with only 3-stage are more than 30%, and the maximum output voltage is 5.5 V, and its ripple coefficients are less than 1%. Therefore, the rectifier is especially suitableto passive UHF RFID tag IC and implantable devices

    Adaptive Learning-Based Compressive Sampling for Low-power Wireless Implants

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    Implantable systems are nowadays being used to interface the human brain with external devices, in order to understand and potentially treat neurological disorders. The most predominant design constraints are the systemโ€™s area and power. In this paper, we implement and combine advanced compressive sampling algorithms to reduce the power requirements of wireless telemetry. Moreover, we apply variable compression, to dynamically modify the device performance, based on the actual signal need. This paper presents an area-efficient adaptive system for wireless implantable devices, which dynamically reduces the power requirements yielding compression rates from 8ร— to 64ร—, with a high reconstruction performance, as qualitatively demonstrated on a human data set. Two different versions of the encoder have been designed and tested, one with and the second without the adaptive compression, requiring an area of 230ร—235 ฮผm and 200 ร— 190 ฮผm, respectively, while consuming only 0.47 ฮผW at 0.8 V. The system is powered by a 4-coil inductive link with measured power transmission efficiency of 36%, while the distance between the external and internal coils is 10 mm. Wireless data communication is established by an OOK modulated narrowband and an IR-UWB transmitter, while consuming 124.2 pJ/bit and 45.2 pJ/pulse, respectively

    Design of a Customized multipurpose nano-enabled implantable system for in-vivo theranostics

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    The first part of this paper reviews the current development and key issues on implantable multi-sensor devices for in vivo theranostics. Afterwards, the authors propose an innovative biomedical multisensory system for in vivo biomarker monitoring that could be suitable for customized theranostics applications. At this point, findings suggest that cross-cutting Key Enabling Technologies (KETs) could improve the overall performance of the system given that the convergence of technologies in nanotechnology, biotechnology, micro&nanoelectronics and advanced materials permit the development of new medical devices of small dimensions, using biocompatible materials, and embedding reliable and targeted biosensors, high speed data communication, and even energy autonomy. Therefore, this article deals with new research and market challenges of implantable sensor devices, from the point of view of the pervasive system, and time-to-market. The remote clinical monitoring approach introduced in this paper could be based on an array of biosensors to extract information from the patient. A key contribution of the authors is that the general architecture introduced in this paper would require minor modifications for the final customized bio-implantable medical device

    Magnetoelectric Effect: Principles and Applications in Biology and Medicineโ€“ a Review

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    Magnetoelectric (ME) effect experimentally discovered about 60 years ago remains one of the promising research fields with the main applications in microelectronics and sensors. However, its applications to biology and medicine are still in their infancy. For the diagnosis and treatment of diseases at the intracellular level, it is necessary to develop a maximally non-invasive way of local stimulation of individual neurons, navigation, and distribution of biomolecules in damaged cells with relatively high efficiency and adequate spatial and temporal resolution. Recently developed ME materials (composites), which combine elastically coupled piezoelectric (PE) and magnetostrictive (MS) phases, have been shown to yield very strong ME effects even at room temperature. This makes them a promising toolbox for solving many problems of modern medicine. The main ME materials, processing technologies, as well as most prospective biomedical applications will be overviewed, and modern trends in using ME materials for future therapies, wireless power transfer, and optogenetics will be considered. ยฉ 2021 The Author(s).This work was developed within the scope of the project CICECO-Aveiro Institute of Materials, refs. UIDB/50011/2020 and UIDP/50011/2020, financed by national funds through the FCT/MCTES. Part of this work was funded by national funds (OE), through FCT โ€“ Fundaรง~ao para a Ci^encia e a Tecnologia, I.P., in the scope of the framework contract foreseen in the numbers 4, 5, and 6 of the article 23, of the Decree-Law 57/2016, of August 29, changed by Law 57/2017, of July 19. The financial support from the Ministry of Science and Higher Education of the Russian Federation is acknowledged (grant agreements โ„–075-15-2021-588 from 1.06.2021)

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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

    WIRELESS POWER MANAGEMENT CIRCUITS FOR BIOMEDICAL IMPLANTABLE SYSTEMS

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