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检索条件"任意字段=IEEE Biomedical Circuits and Systems Conference"

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Development of Trans-nail PPG Controller Using Fingertip Blood Volume Changes to Enable Highly Accurate Motion Prediction

Development of Trans-nail PPG Controller Using Fingertip Blo...

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2023 ieee biomedical circuits and systems conference, BioCAS 2023

作者： Nakamura, Kohei Du, Bang Sugishita, Keishun Hasegawa, Ryo Kino, Hisashi Fukushima, Takafumi Kiyoyama, Koji Tanaka, Tetsu Nagasaki Institute of Applied Science Graduate School of Engineering Nagasaki851-0193 Japan Tohoku University Graduate School of Engineering Department of Mechanical Systems Engineering Sendai980-8579 Japan Tohoku University Graduate School of Biomedical Engineering Sendai980-8579 Japan

ISBN: (纸本)9798350300260

The widespread adoption of Virtual Reality (VR)/Augmented Reality (AR) has increased the demand for versatile controllers for VR/AR. Most conventional controllers for VR/AR have issues with a lack of immersive sensation, comfort, and stability. This study proposes a trans-nail PPG (photoplethysmography) controller using fingertip blood volume changes to enable accurate motion prediction. This controller utilizes the fact that the mainly DC component of the PPG signal varies with the state and movement of the hand and fingers. Based on reservoir computing, this controller also learns the PPG signals under various conditions and predicts the state and movement of the hand and fingers. Since this controller is attached to the fingernail, it does not compromise immersion, comfort, or stability. Three PPG sensor circuits in the trans-nail PPG sensor were designed, prototyped, and assembled with an LED on a nail-sized PCB. The output signals of the PPG sensor for various motions such as thumb raising and lowering, wrist raising and lowering, and wrist twisting were used for the learning and predictions of reservoir computing. As a result, the motion predictions with accuracies of over 90% were achieved successfully. © 2023 ieee.

关键词： AR augmented reality controller photoplethysmography PPG reservoir computing trans-nail virtual Reality VR

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Spike-time encoding of gas concentrations using neuromorphic analog sensory front-end

Spike-time encoding of gas concentrations using neuromorphic...

引用

2023 ieee biomedical circuits and systems conference, BioCAS 2023

作者： Rastogi, Shavika Dennler, Nik Schmuker, Michael Van Schaik, Andre Western Sydney University International Centre for Neuromorphic Systems Sydney Australia University of Hertfordshire Biocomputation Research Group Hatfield United Kingdom

ISBN: (纸本)9798350300260

Gas concentration detection is important for applications such as gas leakage monitoring. Metal Oxide (MOx) sensors show high sensitivities for specific gases, which makes them particularly useful for such monitoring applications. However, how to efficiently sample and further process the sensor responses remains an open question. Here we propose a simple analog circuit design inspired by the spiking output of the mammalian olfactory bulb and by event-based vision sensors. Our circuit encodes the gas concentration in the time difference between the pulses of two separate pathways. We show that in the setting of controlled airflow-embedded gas injections, the time difference between the two generated pulses varies inversely with gas concentration, which is in agreement with the spike timing difference between tufted cells and mitral cells of the mammalian olfactory bulb. Encoding concentration information in analog spike timings may pave the way for rapid and efficient gas detection, and ultimately lead to data- and power-efficient monitoring devices to be deployed in uncontrolled and turbulent environments. © 2023 ieee.

关键词： Gas con detection Metal Oxide Sensors Olfactory Bulb Spike time encoding

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Evaluation of Power-of-two Quantization for Multiplier-less Near-Memory and In-Memory Computing Schemes for biomedical Applications 9

Evaluation of Power-of-two Quantization for Multiplier-less ...

引用

9th ieee Nordic circuits and systems conference (NorCAS)

作者： Gautier, Antoine Larras, Benoit Martens, Olev John, Deepu Frappe, Antoine Univ Polytech Hauts France Univ Lille CNRS IEMNUMR 8520Cent Lille Lille France Tallinn Univ Technol Inst Elect Tallinn Estonia Univ Coll Dublin Dublin Ireland

ISBN: (纸本)9798350337570

Embedded Artificial Intelligence and Artificial Neural Networks and their implementation at the edge, as close as possible to the sensors, is an opportunity to develop biomedical applications such as long-term monitoring or point-of-care devices, but the implementation of such networks is constrained by hardware limitations: battery life and power consumption as well as silicon area. This paper focuses on the hardware implementation cost of a neuron/perceptron. Two different solutions that respond to the challenge of reducing the hardware cost of embedded artificial intelligence neural networks and neurons are studied. The first solution studied is the replacement of multipliers by shifters allowed by the use of non-uniform powers-of-two quantization of the network weights, which is validated on three different classification cases (arrhythmia, sleep-apnea and image recognition). The second solution studied is a comparative study of the advantages and limitations of conventional von-Neumann and in/near-memory implementation of a neuron in terms of hardware implementation cost. Performance metrics are estimated in 28nm FDSOI technology.

关键词： artificial neural networks log quantization in-memory computing near-memory computing multiplier-less arrhythmia detection sleep-apnea detection

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Postural Sway Classification using Modified Vision Transformer

Postural Sway Classification using Modified Vision Transform...

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2023 ieee biomedical circuits and systems conference, BioCAS 2023

作者： Nehary, Ebrahim A. Rajan, Sreeraman Ando, Bruno Carleton University Systems and Computer Engineering Ottawa Canada University of Catania Electric Electronic and Information Engineering Catania Italy

ISBN: (纸本)9798350300260

Continuous monitoring of postural sway in elderly individuals and patients with neurodegenerative diseases is crucial for fall prevention, thereby reducing mortality and morbidity rates. This monitoring can be accomplished through the use of accelerometers. A modified vision transformer (MViT) with patch partition (PP), local self-attention (LSA), and residual connection (RC) is proposed. In this study, the signal magnitude vector (smv) derived from triaxial accelerometer is employed as input to the proposed modified vision transform (MViT) for classifying postural sways into one of the following classes: standing, anteroposterior (AP), medio-lateral (ML), and unstable. PP is carried out using a rectangle window of length (N) and an overlap ratio (α). The role played by the window length and the overlap ratio on the classification performance are studied. Additionally, various augmentation methods are implemented and used in conjunction with PP to improve the classification performance. MViT that has PP implemented using smaller window and larger overlap when trained with augmented data yields the best classification. These results demonstrate that MViT and augmentation improve classification performance and augmentation without PP is inferior to the improvements achieved using a MViT with PP without augmentation. © 2023 ieee.

关键词： Accelerometers Classification Deep learning Postural sway Signal magnitude value Vision transformer

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ieee 2014 biomedical circuits and systems conference, BioCAS 2014 - Proceedings

IEEE 2014 Biomedical Circuits and Systems Conference, BioCAS...

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10th ieee biomedical circuits and systems conference, BioCAS 2014

ISBN: (纸本)9781479923465

The proceedings contain 187 papers. The topics discussed include: implantable bioelectronics- towards cyborgs: from science fiction to reality;human brain project;efficient online feature extraction algorithm for spike sorting in a multichannel FPGA-based neural recording system;database-driven artifact detection method for EEG systems with few channels (DAD);a dictionary learning algorithm for multi-channel neural recordings;a novel compressive sensing architecture for high-density biological signal recording;on-line local mean decomposition and its application to ECG signal denoising;a study of the relationship between image quality and cerebral blood flow;impact of the vent size in the feedback-path and occlusion-effect in hearing aids;and realtime ECG baseline removal: an isoelectric point estimation approach.

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A 7.5GΩ-Input-Impedance 109dB-Total-CMRR and 80VPP-CMI-Tolerance Instrumentation Amplifier for Dry-Contact Two-Electrode ECG Monitoring

A 7.5GΩ-Input-Impedance 109dB-Total-CMRR and 80VPP-CMI-Tole...

引用

2023 ieee biomedical circuits and systems conference, BioCAS 2023

作者： Qu, Tianxiang Pan, Qinjing Tang, Biao Hong, Zhiliang Xu, Jiawei Fudan University State Key Laboratory of Integrated Chips and Systems Shanghai China

ISBN: (纸本)9798350300260

This paper presents an instrumentation amplifier (IA) customized for dry-contact two-electrode ECG measurement. By utilizing the adaptive current generator, the residual common-mode-interference (CMI) voltage fluctuation prior to the IA is minimized and this facilitates up to 80VPP environmental CMI tolerance. In addition, a chopping-free capacitively-coupled IA (CCIA) with CM replication scheme offers rail-to-rail DC electrode offset (DEO) rejection and high input impedance of 7.5GΩ. This IA also mitigates the CMRR limitation due to the capacitors mismatch, leading to a total CMRR (T-CMRR) of 109dB. © 2023 ieee.

关键词： CMRR ECG input impedance instrumentation amplifier Two-electrode common-mode interference

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Comparison of Whole Blood Coagulation Profiles in COVID-19 and Sepsis Patients Using a Handheld Dielectric Coagulometer

Comparison of Whole Blood Coagulation Profiles in COVID-19 a...

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2023 ieee biomedical circuits and systems conference, BioCAS 2023

作者： Pourang, Sina Suster, Michael A. Thomas, Asha Lapping, Stephanie D. Nayak, Lalitha V. Mohseni, Pedram Case Western Reserve University Dept. of Electrical Computer and Systems Engineering ClevelandOH United States University Hospitals Cleveland Medical Center Division of Hematology/Oncology ClevelandOH United States

ISBN: (纸本)9798350300260

Rapid point-of-care (POC) assessment of thrombosis is clinically important in patients who develop significant blood coagulation abnormalities such as noted with sepsis or COVID-19. In this work, we compare the coagulation profiles of whole blood in sepsis and COVID-19 patients using a handheld dielectric coagulometer termed ClotChip®. ClotChip® is a three-dimensional, parallel-plate, capacitive sensor integrated into a single-use microfluidic channel with a total volume of © 2023 ieee.

关键词： Blood coagulation COVID-19 dielectric spectroscopy microfluidics point-of-care testing

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Low Power Single Cycle RISC V Processor for biomedical Applications 8

Low Power Single Cycle RISC V Processor for Biomedical Appli...

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8th ieee International conference on Distributed Computing, VLSI, Electrical circuits and Robotics, DISCOVER 2024

作者： Vijay Ganesh, P.C. Pallikonda Rajasekaran, M. Arunprasath, T. Ramaraj, Kottaimalai Vishuvarthanan, G. Muneeswran, V. St Joseph Engineering College Dept. of Electronics and Communication Engineering Mangaluru India KARE Dept. of Electronics and Communication Engineering Krishnankoil Tamil Nadu India VIT Bhopal University Dept. of Electronics and Communication Engineering Kothrikalan Madhya Pradesh India

ISBN: (纸本)9798350350593

Edge computing has become the preferred choice over cloud computation due to the growing popularity of the Internet of Things (loT). However, the scarcity of resources at the periphery presents a significant obstacle, especially in terms of energy efficiency. This problem poses a significant barrier to the expansion of edge computing devices. Power consumption is of utmost importance in applications such as wearable technology and health monitoring systems. Using intricate, pipelined, versatile processors in these inexpensive applications is not efficient. It leads to an excessive consumption of power. As a result, edge computing systems demand solutions that are minimal in power consumption yet still capable of delivering enough performance output. The purpose of our study is to introduce a power-efficient RV321M processor that utilises a single-cycle RISC-V Instruction set architecture (ISA). This processor is tailored specifically for biomedical-based edge nodes with limited resources. The comparison result indicates that the proposed architecture has a power consumption of 0.09 mW/MHz with an area of 0.24 mm2and is most suitable for low-end or wearable biomedical applications. © 2024 ieee.

关键词： Pipeline processing systems

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Advancing Ear ECG Analysis during CPR Using Adaptive Filtering

Advancing Ear ECG Analysis during CPR Using Adaptive Filteri...

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2023 ieee biomedical circuits and systems conference, BioCAS 2023

作者： Agarwal, Prachi Guo, Yu Thakor, Nitish V. Johns Hopkins University Electrical and Computer Engineering Baltimore United States Johns Hopkins University Biomedical Engineering Baltimore United States

ISBN: (纸本)9798350300260

This study explores the feasibility of using ear electrocardiogram (ECG) as a viable alternative to the traditional chest ECG during cardiopulmonary resuscitation (CPR). To ensure the reliability of the ear ECG in identifying the QRS complex within the cardiac cycle, the Bald-Altman plot is used for validation. Adaptive filters are employed to suppress artifacts caused by chest compressions (CCs) and restore clinically significant ECG information. The performance evaluation involves comparing artifact-free ECGs with filtered ECGs, considering the denoised signal-to-noise ratio (SNRden), Pearson's Correlation coefficient, and the Modified Bray-Curtis index. The extended-kernel recursive least squares filter proves to be the most effective option for both ear and chest locations. Notably, the ear ECG exhibits a higher mean SNRden (5.35 dB) compared to the gold-standard chest ECG (SNRden 2.83 dB). Our results suggest that the proposed technique could be a highly translational method for ECG measurements during CPR, which allows for uninterrupted CCs, eliminating the need to pause for rhythm analysis and potentially improving the efficiency and effectiveness of CPR procedures. © 2023 ieee.

关键词： adaptive filtering cardiac arrest cardiopulmonary resuscitation ear electrocardiogram electrodes

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Designing a Wearable Wireless System for Real-time Bioimpedance Spectroscopy of Body Fluid

Designing a Wearable Wireless System for Real-time Bioimpeda...

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2023 ieee biomedical circuits and systems conference, BioCAS 2023

作者： Bandur, Antonio Sadatamin, Delaram Piper, Bryan Culjak, Ivana Dzapo, Hrvoje Yadollahi, Azadeh University Health Network KITE-Toronto Rehabilitation Institute Toronto Canada University of Toronto Institute of Biomedical Engineering Toronto Canada University of Zagreb Faculty of Electrical Engineering and Computing Zagreb Croatia

ISBN: (纸本)9798350300260

This paper introduces a wearable system for monitoring body fluid dynamics using a wireless technology. The system utilizes Bluetooth Low Energy (BLE) and the AFE4300 integrated circuit for bioimpedance spectroscopy. It combines the STM32 microcontroller and BLE connectivity with a custom-designed hardware platform, allowing real-time acquisition, processing, and analysis of bioimpedance data. The system offers a user-friendly solution for non-invasive monitoring of body fluid, enabling personalized healthcare approaches. The study involved six participants and compared the system's performance to the SFB7 ImpediMed system, as a gold-standard for bioimpedance measurement using gel-based and textile electrodes. The system demonstrated comparable performance to the SFB7 ImpediMed system for assessing leg and total body water. The findings underscore the potential of the system to enable real-time bioimpedance spectroscopy in a wearable and wireless environment, facilitating advancements in personalized healthcare. This holds particular significance for individuals with heart failure, as frequent monitoring of body fluid levels is critical in managing their condition. © 2023 ieee.

关键词： Bioimpedance Spectroscopy Bluetooth Low Energy Fluid Measurement Smart Textile Wearable System Wireless Technology

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