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2022 ieee biomedical circuits and systems conference, BioCAS 2022

作者： Ray, Arkaprova Habibagahi, Iman Babakhani, Aydin University of California Los AngelesCA United States

ISBN: (数字)9781665469173

ISBN: (纸本)9781665469173

Localization of wireless capsule endoscopes (WCE) is essential for advancement in the treatment of gastrointestinal (GI) tract diseases. Localization is also essential in biomedical applications such as detecting cancerous tissues, drug delivery, brain mapping, and robotic surgeries. Current localization systems are either battery-powered or require large coils for wireless power transfer, making them bulky and unfit for use in wearable or implantable applications. This paper proposes a fully battery-less localization system using wireless energy harvesting. Additionally, the system can be used for the detection of the rate of periodic physiological motions such as diaphragm motion during breathing. The proposed localization system uses ISM bands and transmits a locked sub-harmonic 13.56 MHz signal generated from the received 40.68 MHz radio frequency (RF) signal, eliminating the need for a power-hungry oscillator. The localizer has a small form factor of 17 mm × 12 mm × 0.2 mm and consumes an average power of 6 μW. Ex vivo measurements using the localizer inside the porcine intestine demonstrate a localization accuracy of less than 1 cm. © 2022 ieee.

关键词： Energy harvesting

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A pressure-sensitive oscillator for neuromorphic applications

A pressure-sensitive oscillator for neuromorphic application...

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2022 ieee biomedical circuits and systems conference, BioCAS 2022

作者： Singh Muralidhar, Bharath Kumar Ashkrizzadeh, Rafael Kohlstedt, Hermann Petraru, Adrian Rieger, Robert Kiel University Institute of Electrical and Information Engineering Chair of Networked Electronic Systems Kiel24143 Germany Kiel University Institute of Electrical and Information Engineering Chair of Nanoelectronics Kiel24143 Germany

ISBN: (数字)9781665469173

ISBN: (纸本)9781665469173

A post-CMOS compatible pressure sensor and associated readout electronic circuits are presented, which in combination yield a pressure sensitive artificial neuron with spike-frequency coded output. The transducers consist of a custom made metal-oxide-semiconductor field effect transistor, comprising a piezoelectric aluminum scandium nitride layer inside the gate stack (piezo-FET). They can operate in either a diode configuration or as current mirror pairs. The operating regime is CMOS compatible. The pressure dependent output current feeds a CMOS ring oscillator, varying its output frequency. The neuron is designed for off-chip coupling into a neural spiking network. Measured results are shown for the piezo-FET, readout setup, and oscillator, confirming the capability of encoding the mechanical quantity into a series of frequency-modulated spikes. © 2022 ieee.

关键词： Oxide semiconductors

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A 6.78MHz Mid-Range Wireless Power Charging System for Milliwatt-Power-Level Long-term biomedical Sensing Applications

A 6.78MHz Mid-Range Wireless Power Charging System for Milli...

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2022 ieee biomedical circuits and systems conference, BioCAS 2022

作者： Xu, Zhiqiang Rodriguez-Villegas, Esther Imperial College London Wearable Technologies Lab Dept. Electrical and Electronic Engineering SW7 2AZ United Kingdom

ISBN: (数字)9781665469173

ISBN: (纸本)9781665469173

This paper presents a methodology and system architecture to supply power over mid-distance, in the context of bio-sensors for long-term vital monitoring purposes. The first part of the paper introduces a novel non-coupling coil array system with a beamforming-control algorithm to enhance the power transfer efficiency, up to 25cm distance, regardless of the receiver's position. In the second part an on-chip wireless power charger system with high efficiency and trimming function to charge the mAh-level NiMH battery and provide stabilized power supply to devices, is presented. Overall, the system achieves 0.74% power efficiency at a distance of up to 25cm (with 0.86% from the beamforming-control power transfer system and 86% from the wireless power charger system). © 2022 ieee.

关键词： System-on-chip

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From breadboard to complex electronic systems - introducing a heterogenous group of undergrad students to design and analysis of electronic circuits 53

From breadboard to complex electronic systems - introducing ...

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53rd ieee ASEE Frontiers in Education International conference, FIE 2023

作者： Riehl, David Keil, Ferdinand Hofmann, Klaus Technische Universitat Darmstadt Integrated Electronic Systems Lab Darmstadt Germany

ISBN: (纸本)9798350336429

This practice work-in-progress paper describes an innovative laboratory course designed to introduce a heterogenous cohort of undergraduate students from various fields of engineering and science to the principles of designing and analyzing complex electronic systems. The course utilizes a self-developed drum machine as a visual and acoustic project with a gradually increasing level of complexity throughout the lab sessions. Through active participation students acquire an understanding of SPICE simulations, test & measurement equipment, and printed circuit board (PCB) assembly. The course is mandatory for students pursuing a bachelor's degree in electrical, mechatronic, biomedical, computational, and information system engineering, and is also attended as an optional module by computer science and physics students. In the winter term of 2022, the course returned to the lab after the COVID-19 pandemic and was attended by more than 200 students. The laboratory experiments are supported by complementary activities, such as SPICE simulations of the circuits as preparation, and lab reports written in LaTeX to introduce the students to scientific writing. Instructional videos and consultation hours are offered to assist with SPICE simulation and LaTeX. During the physical lab sessions, students work in groups of three in a traditional laboratory environment, with student tutors available to provide guidance offered in the form of minimal help. Overall, the presented lab course is an innovative and engaging method of teaching electronic systems. The self-developed drum machine provides a visually and audibly stimulating project, allowing students to learn practical skills and develop their theoretical knowledge. © 2023 ieee.

关键词： electronics lab project based learning reverse engineering system thinking

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Guest Editorial Selected Papers from the 2021 ieee International Solid-State circuits conference

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ieee TRANSACTIONS ON biomedical circuits AND systems 2021年第6期15卷 1221-1223页

作者： Burdett, Alison Mohseni, Pedram Ghovanloo, Maysam Genov, Roman Sensium Healthcare 115 Olymp Ave Milton Pk OX14 4SA Oxfordshire England Case Western Reserve Univ Dept Elect Comp & Syst Engn Cleveland OH 44106 USA Bionic Sci Inc Atlanta GA 30316 USA Univ Toronto Dept Elect & Comp Engn Toronto ON M5S 3G4 Canada

The papers in this special section were presented at the 2021 ieee International Solid-State circuits conference.

关键词： Special issues and sections Meetings Solid state circuits

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Zinc-Oxide Nanofiber and Green Synthesized Silver Nanoparticle Based Enzymatic Chemiresistive Sensor for Glucose Detection

Zinc-Oxide Nanofiber and Green Synthesized Silver Nanopartic...

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2024 International conference on Integrated circuits, Communication, and Computing systems, ICIC3S 2024

作者： Zalke, Jitendra B. Narkhede, Nitin P. Rotake, Dinesh R. Jain, Anushree Y. Sheikh, Ayan Kadao, Jaykumar A. Shri Ramdeobaba College of Engineering and Management Department of Biomedical Engineering Nagpur India Shri Ramdeobaba College of Engineering and Management Department of Electronics Engineering Nagpur India Indian Institute of Technology Department of Electrical Engineering Hyderabad India

ISBN: (纸本)9798350364088

In this study, we present a new enzymatic glucose sensing platform made of a hybrid nanocomposite of zinc oxide (ZnO), glucose oxidase (Gox), and silver nanoparticles (AgNPs) that were made in an environmentally friendly way. The high surface area and superior electron transport characteristics of the ZnO nanoparticles contribute to improved enzyme immobilization and effective electron transfer during the enzymatic reaction. Glucose oxidase, which is attached to the ZnO surface, converts glucose into gluconic acid and hydrogen peroxide. This produces a measurable change in electrical resistance. Adding silver nanoparticles makes the sensor more effective and provides catalytic action. This combination aims to improve glucose sensors by utilizing the enzyme's catalytic ability, as well as the unique properties of ZnO and silver nanoparticles working together. The green synthesized AgNPs were synthesized through a facile and cost-effective green synthesis method, ensuring a non-toxic, biodegradable, and environmentally friendly sensor for biomedical applications. © 2024 ieee.

关键词： Silver nanoparticles

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Bioimpedance Analysis of Biological Tissues for Their Welding 4

Bioimpedance Analysis of Biological Tissues for Their Weldin...

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4th ieee KhPI Week on Advanced Technology, KhPI Week 2023

作者： Dubko, Andrii Stepenko, Serhii Yamnenko, Iuliia Bondarenko, Oleksandr E. O. Paton Electric Welding Institute National Academy of Sciences of Ukraine Department of Biomedical Engineering Igor Sikorsky Kyiv Polytechnic Institute Kyiv Ukraine Electrical Engineering Information and Measurement Technologies Department Chernihiv Polytechnic National University Chernihiv Ukraine Technical University of Munich Munich Germany Department of Electronic Devices and Systems Igor Sikorsky Kyiv Polytechnic Institute Kyiv Ukraine

ISBN: (纸本)9798350395532

The work is devoted to the analysis of biomedical parameters of living biological tissues related to their impedance. In modern clinical monitoring systems, measuring transducers of electrical impedance of organs and tissues is widely used for diagnostic studies. Biological impedance measurement tasks are based on the ability of biological tissues, including the human body, to conduct electric current. It is difficult to measure the true resistance of a part of the body on direct current due to the polarization of biological tissues and the appearance of parasitic charges on the electrodes. Therefore, for measuring biological impedance, alternating current is preferred. In this work, the electrical equivalent impedance circuits of biological tissues are studied with MicroCap Software. The results can be useful for calculating welding parameters for the welding of biological tissues. © 2023 ieee.

关键词： Electric impedance measurement

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Improvement of stability in long-term motor decoding forelimb movement with a sequence imputation of temporal-based spike patterns

Improvement of stability in long-term motor decoding forelim...

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2022 ieee biomedical circuits and systems conference, BioCAS 2022

作者： Kuo, Yun-Ting Yang, Shih-Hung Chou, Chin-Yu Chang, Hao-Cheng Chen, Kuan-Yu Chen, You-Yin National Yang Ming Chiao Tung University Department of Biomedical Engineering Taipei Taiwan National Cheng Kung University Department of Mechanical Engineering Tainan Taiwan

ISBN: (数字)9781665469173

ISBN: (纸本)9781665469173

Instability of neural signals is a vital issue in intracortical brain machine interface (iBMI) systems which caused by missing neuron day by day. This study proposed mean-perturbation to impute missing neural spike train during rat forelimb movement. Our results showed that the proposed mean-perturbation for sequence imputation of missing neural spikes was used to enhance the long-term decoding performance. © 2022 ieee.

关键词： Brain computer interface

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Live Demonstration: Neuromorphic Robot Goalie Controlled by Spiking Neural Network

Live Demonstration: Neuromorphic Robot Goalie Controlled by ...

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2022 ieee biomedical circuits and systems conference, BioCAS 2022

作者： Russo, Nicola Huang, Haochun Nikolic, Konstantin University of West London School of Computing and Engineering London United Kingdom Imperial College London Institute of Biomedical Engineering London United Kingdom

ISBN: (数字)9781665469173

ISBN: (纸本)9781665469173

This demonstration shows an implementation of the Robot Goalie using neuromorphic hardware and a Spiking Neural Network (SNN) to control the goalkeeper position. The system consists of four main components: a Dynamic Vision Sensor (DVS128) used as an "eye", a SpiNNaker SpiNN-3 board to run a SNN to predict the final position of the ball and intercept it, an actuator (Futaba S9257) and an Arduino Due microcontroller (MCU). A PCB board was developed to integrate the Arduino and SpiNNaker boards, with power regulators to use a battery pack for the complete setup. The microcontroller acts as the central communication hub which links incoming signals from the DVS, pass them to SpiNNaker, then to receive the signals from SpiNNaker board and generate the instruction to the digital motor where to place the goalkeeper. A simple SNN has been developed to process the visual input and decide where to put the goalie. This solution is different from the classical segmentation and object tracking and is closer to the biological functioning of biological vision. The system represents a real-time and lowpower solution for the task of intercepting incoming objects. This is in particular relevant to autonomous robotic systems which require fast reaction, but at low power consumption. © 2022 ieee.

关键词： Robotics

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Session 18 Overview: biomedical Devices, circuits, and systems Technology Directions Subcommittee

Digest of Technical Papers - IEEE International Solid-State ...

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Digest of Technical Papers - ieee International Solid-State circuits conference 2021年 64卷 274-275页

作者： Yazicigil, Rabia Tugce Zhang, Milin Mercier, Patrick P. Boston University BostonMA United States University of California San DiegoCA United States

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