IEEE Biomedical Circuits and Systems Conference : healthcare technology : [proceedings]. IEEE Biomedical Circuits and Systems Conference最新文献_第2页

Orientation-Insensitive Multi-Antenna Reader for Wireless Biomedical Applications. 用于无线生物医学应用的方向不敏感多天线读取器。

IEEE Biomedical Circuits and Systems Conference : healthcare technology : [proceedings]. IEEE Biomedical Circuits and Systems Conference Pub Date : 2021-10-01 Epub Date: 2021-12-23 DOI: 10.1109/biocas49922.2021.9644998

Nilan Udayanga, Yubin Lin, Manuel Monge

{"title":"Orientation-Insensitive Multi-Antenna Reader for Wireless Biomedical Applications.","authors":"Nilan Udayanga, Yubin Lin, Manuel Monge","doi":"10.1109/biocas49922.2021.9644998","DOIUrl":"https://doi.org/10.1109/biocas49922.2021.9644998","url":null,"abstract":"This paper presents a multi-antenna external reader system that enables orientation insensitive communication with implantable medical devices (IMDs) for wireless biomedical applications. The proposed system consists of a circular array with six loop antennas. The antenna placement and orientations are determined by analyzing the near-field magnetic field variations of the loop antenna. The proposed system is first simulated using HFSS electromagnetic simulation software. Our simulations show that the received power at the proposed external reader with six antennas only varies about 5 dB for any given orientation of the implanted antenna, which is highly significant compared to the 20-35 dB variation with a single external antenna. Here, we select the antenna which provides the largest coupling between the IMD to receive/transmit signals. A prototype of the proposed multi-antenna external reader is then implemented using custom-designed PCBs that interconnect loop antennas, transceiver ICs, and commercially-available circuit components. A custom PCB with a miniaturized loop antenna is used to emulate an implantable device. Based on measurement results, the received power in the external reader only varies about 3 dB when the miniaturized antenna rotates with respect to the x-axis. These measurements show good agreement with the simulated reader.","PeriodicalId":73279,"journal":{"name":"IEEE Biomedical Circuits and Systems Conference : healthcare technology : [proceedings]. IEEE Biomedical Circuits and Systems Conference","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8939840/pdf/nihms-1741074.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"40317547","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Multi-Access Networking with Wireless Ultrasound-Powered Implants. 无线超声植入物的多接入网络。

IEEE Biomedical Circuits and Systems Conference : healthcare technology : [proceedings]. IEEE Biomedical Circuits and Systems Conference Pub Date : 2019-10-01 Epub Date: 2019-12-05 DOI: 10.1109/BIOCAS.2019.8919144

Ting Chia Chang, Max Wang, Amin Arbabian

{"title":"Multi-Access Networking with Wireless Ultrasound-Powered Implants.","authors":"Ting Chia Chang, Max Wang, Amin Arbabian","doi":"10.1109/BIOCAS.2019.8919144","DOIUrl":"https://doi.org/10.1109/BIOCAS.2019.8919144","url":null,"abstract":"Multi-access networking with miniaturized wireless implantable devices can enable and advance closed-loop medical applications to deliver precise diagnosis and treatment. Using ultrasound (US) for wireless implant systems is an advantageous approach as US can beamform with high spatial resolution to efficiently power and address multiple implants in the network. To demonstrate these capabilities, we use wirelessly powered mm-sized implants with bidirectional communication links; uplink data communication measurements are performed using time, spatial, and frequency-division multiplexing schemes in tissue phantom. A 32-channel linear transmitter array and an external receiver are used as a base station to network with two implants that are placed 6.5 cm deep and spaced less than 1 cm apart. Successful wireless powering and uplink data communication around 100 kbps with a measured bit error rate below 10-4 are demonstrated for all three networking schemes, validating the multi-access networking feasibility of US wireless implant systems.","PeriodicalId":73279,"journal":{"name":"IEEE Biomedical Circuits and Systems Conference : healthcare technology : [proceedings]. IEEE Biomedical Circuits and Systems Conference","volume":"2019 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1109/BIOCAS.2019.8919144","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"37583978","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 5

Resting Tremor Detection in Parkinson's Disease with Machine Learning and Kalman Filtering. 用机器学习和卡尔曼滤波检测帕金森病患者的静息震颤。

IEEE Biomedical Circuits and Systems Conference : healthcare technology : [proceedings]. IEEE Biomedical Circuits and Systems Conference Pub Date : 2019-06-25 Epub Date: 2018-12-24 DOI: 10.1109/BIOCAS.2018.8584721

Lin Yao, Peter Brown, Mahsa Shoaran

{"title":"Resting Tremor Detection in Parkinson's Disease with Machine Learning and Kalman Filtering.","authors":"Lin Yao, Peter Brown, Mahsa Shoaran","doi":"10.1109/BIOCAS.2018.8584721","DOIUrl":"10.1109/BIOCAS.2018.8584721","url":null,"abstract":"Adaptive deep brain stimulation (aDBS) is an emerging method to alleviate the side effects and improve the efficacy of conventional open-loop stimulation for movement disorders. However, current adaptive DBS techniques are primarily based on single-feature thresholding, precluding an optimized delivery of stimulation for precise control of motor symptoms. Here, we propose to use a machine learning approach for resting-state tremor detection from local field potentials (LFPs) recorded from subthalamic nucleus (STN) in 12 Parkinson's patients. We compare the performance of state-of-the-art classifiers and LFP-based biomarkers for tremor detection, showing that the high-frequency oscillations and Hjorth parameters achieve a high discriminative performance. In addition, using Kalman filtering in the feature space, we show that the tremor detection performance significantly improves (F(1,15)=32.16, p<0.0001). The proposed method holds great promise for efficient on-demand delivery of stimulation in Parkinson's disease.","PeriodicalId":73279,"journal":{"name":"IEEE Biomedical Circuits and Systems Conference : healthcare technology : [proceedings]. IEEE Biomedical Circuits and Systems Conference","volume":"2018 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6645988/pdf/EMS83479.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41222264","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Dual-mode Microelectrode Array Featuring 20k Electrodes and High SNR for Extracellular Recording of Neural Networks. 双模微电极阵列，具有20k电极和高信噪比，用于神经网络的细胞外记录。

IEEE Biomedical Circuits and Systems Conference : healthcare technology : [proceedings]. IEEE Biomedical Circuits and Systems Conference Pub Date : 2019-06-18 DOI: 10.1109/BIOCAS.2018.8584735

Xinyue Yuan, Vishalini Emmenegger, Marie Engelene J Obien, Andreas Hierlemann, Urs Frey

{"title":"Dual-mode Microelectrode Array Featuring 20k Electrodes and High SNR for Extracellular Recording of Neural Networks.","authors":"Xinyue Yuan, Vishalini Emmenegger, Marie Engelene J Obien, Andreas Hierlemann, Urs Frey","doi":"10.1109/BIOCAS.2018.8584735","DOIUrl":"10.1109/BIOCAS.2018.8584735","url":null,"abstract":"In recent electrophysiological studies, CMOS-based high-density microelectrode arrays (HD-MEA) have been widely used for studies of both in-vitro and in-vivo neuronal signals and network behavior. Yet, an open issue in MEA design concerns the tradeoff between signal-to-noise ratio (SNR) and number of readout channels. Here we present a new HD-MEA design in 0.18 μm CMOS technology, consisting of 19,584 electrodes at a pitch of 18.0 μm. By combing two readout structures, namely active-pixel-sensor (APS) and switch-matrix (SM) on a single chip, the dual-mode HD-MEA is capable of recording simultaneously from the entire array and achieving high signal-to-noise-ratio recordings on a subset of electrodes. The APS readout circuits feature a noise level of 10.9 μVrms for the action potential band (300 Hz - 5 kHz), while the noise level for the switch-matrix readout is 3.1 μVrms.","PeriodicalId":73279,"journal":{"name":"IEEE Biomedical Circuits and Systems Conference : healthcare technology : [proceedings]. IEEE Biomedical Circuits and Systems Conference","volume":"2018 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6616037/pdf/EMS83410.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"37408251","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A Real Time Hough Transform Architecture Useable inside a WCE 一个可在WCE内部使用的实时霍夫转换架构

IEEE Biomedical Circuits and Systems Conference : healthcare technology : [proceedings]. IEEE Biomedical Circuits and Systems Conference Pub Date : 2019-01-01 DOI: 10.1109/BIOCAS.2019.8919052

Orlando Chuquimia, A. Pinna, X. Dray, B. Granado

引用次数: 0

Low-cost, Implantable Wireless Sensor Platform for Neuromodulation Research. 用于神经调制研究的低成本、可植入式无线传感器平台。

IEEE Biomedical Circuits and Systems Conference : healthcare technology : [proceedings]. IEEE Biomedical Circuits and Systems Conference Pub Date : 2018-10-01 Epub Date: 2018-12-24 DOI: 10.1109/BIOCAS.2018.8584729

Ian McAdams, Hannah Kenyon, Dennis Bourbeau, Margot S Damaser, Christian Zorman, Steve J A Majerus

{"title":"Low-cost, Implantable Wireless Sensor Platform for Neuromodulation Research.","authors":"Ian McAdams, Hannah Kenyon, Dennis Bourbeau, Margot S Damaser, Christian Zorman, Steve J A Majerus","doi":"10.1109/BIOCAS.2018.8584729","DOIUrl":"10.1109/BIOCAS.2018.8584729","url":null,"abstract":"The role of peripheral nerves in regulating major organ function in health and disease is not well understood. Elucidating the relationships between biomarkers and neural activity during conditions free form anesthesia is essential to advancing future investigations of autonomic organ control and improving precision for neuromodulation treatment approaches. Here we present a simple, customizable, off-the-shelf component sensor platform to meet research needs for studying different organs under conscious, free movement. The platform consists of a small, rechargeable coin-cell battery, an energy-harvesting IC, a low-power microcontroller, a low-power pressure transducer, customizable number of electrodes with a common anode, inductive recharge input, and OOK inductive transmission. A case study demonstrating a bladder implant for long-term monitoring is presented, utilizing a novel, non-hermetic encapsulation approach. The customized platform uses two sleep modes to minimize battery loading, exhibiting a maximum time-averaged current draw of 125 micro-amps during sensing and transmission, with a quiescent current draw of 95 nano-amps into the microcontroller.","PeriodicalId":73279,"journal":{"name":"IEEE Biomedical Circuits and Systems Conference : healthcare technology : [proceedings]. IEEE Biomedical Circuits and Systems Conference","volume":"2018 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7020620/pdf/nihms-1068038.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"37648860","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Acquisition of Bioelectrical Signals with Small Electrodes. 用小电极采集生物电信号。

IEEE Biomedical Circuits and Systems Conference : healthcare technology : [proceedings]. IEEE Biomedical Circuits and Systems Conference Pub Date : 2018-03-29 DOI: 10.1109/BIOCAS.2017.8325216

Vijay Viswam, Marie Obien, Urs Frey, Felix Franke, Andreas Hierlemann

引用次数: 0

Impedance-based detection of Schistosoma mansoni larvae viability for drug screening. 基于阻抗法检测曼氏血吸虫幼虫活力的药物筛选。

IEEE Biomedical Circuits and Systems Conference : healthcare technology : [proceedings]. IEEE Biomedical Circuits and Systems Conference Pub Date : 2018-03-29 eCollection Date: 2017-10-01 DOI: 10.1109/BIOCAS.2017.8325227

Mario M Modena, Ketki Chawla, Flavio Lombardo, Sebastian C Bürgel, Gordana Panic, Jennifer Keiser, Andreas Hierlemann

{"title":"Impedance-based detection of Schistosoma mansoni larvae viability for drug screening.","authors":"Mario M Modena, Ketki Chawla, Flavio Lombardo, Sebastian C Bürgel, Gordana Panic, Jennifer Keiser, Andreas Hierlemann","doi":"10.1109/BIOCAS.2017.8325227","DOIUrl":"10.1109/BIOCAS.2017.8325227","url":null,"abstract":"Human schistosomiasis is a neglected tropical disease caused by trematodes, affecting almost 250 million people worldwide. For the past 30 years, treatment has relied on the large-scale administration of praziquantel. However, concerns regarding the appearance of drug-resistance parasites require efforts in identifying novel classes of suitable drugs against schistosomiasis. The current drug screening system is manual, slow and subjective. We present here a microfluidic platform capable of detecting changes in viability of Schistosoma mansoni larvae (Newly Transformed Schistosomula, NTS). This platform could serve as a pre-screening tool for the identification of drug candidates. It is composed of a pair of coplanar electrodes integrated in a microfluidic channel for the detection and quantification of NTS motility. Comparison of viability detection by using our platform with the standard visual evaluation shows that our method is able to reliably detect viable and non-viable NTS at high sensitivity, also in case of low-motility parasites, while enabling a 10 fold decrease in sample consumption.","PeriodicalId":73279,"journal":{"name":"IEEE Biomedical Circuits and Systems Conference : healthcare technology : [proceedings]. IEEE Biomedical Circuits and Systems Conference","volume":"2017 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2018-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7116545/pdf/EMS106924.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"39138459","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Targeted Transcutaneous Electrical Nerve Stimulation for Phantom Limb Sensory Feedback. 针对幻肢感觉反馈的经皮神经电刺激。

IEEE Biomedical Circuits and Systems Conference : healthcare technology : [proceedings]. IEEE Biomedical Circuits and Systems Conference Pub Date : 2017-10-01 Epub Date: 2018-03-29 DOI: 10.1109/biocas.2017.8325200

Luke Osborn, Matthew Fifer, Courtney Moran, Joseph Betthauser, Robert Armiger, Rahul Kaliki, Nitish Thakor

{"title":"Targeted Transcutaneous Electrical Nerve Stimulation for Phantom Limb Sensory Feedback.","authors":"Luke Osborn, Matthew Fifer, Courtney Moran, Joseph Betthauser, Robert Armiger, Rahul Kaliki, Nitish Thakor","doi":"10.1109/biocas.2017.8325200","DOIUrl":"10.1109/biocas.2017.8325200","url":null,"abstract":"In this work, we investigated the use of noninvasive, targeted transcutaneous electrical nerve stimulation (TENS) of peripheral nerves to provide sensory feedback to two amputees, one with targeted sensory reinnervation (TSR) and one without TSR. A major step in developing a closed-loop prosthesis is providing the sense of touch back to the amputee user. We investigated the effect of targeted nerve stimulation amplitude, pulse width, and frequency on stimulation perception. We discovered that both subjects were able to reliably detect stimulation patterns with pulses less than 1 ms. We utilized the psychophysical results to produce a subject specific stimulation pattern using a leaky integrate and fire (LIF) neuron model from force sensors on a prosthetic hand during a grasping task. For the first time, we show that TENS is able to provide graded sensory feedback at multiple sites in both TSR and non-TSR amputees while using behavioral results to tune a neuromorphic stimulation pattern driven by a force sensor output from a prosthetic hand.","PeriodicalId":73279,"journal":{"name":"IEEE Biomedical Circuits and Systems Conference : healthcare technology : [proceedings]. IEEE Biomedical Circuits and Systems Conference","volume":"2017 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8068407/pdf/nihms-1692461.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"38908008","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A true full-duplex 32-channel 0.135cm3 neural interface 一个真正的全双工32通道0.135cm3神经接口

IEEE Biomedical Circuits and Systems Conference : healthcare technology : [proceedings]. IEEE Biomedical Circuits and Systems Conference Pub Date : 2017-10-01 DOI: 10.1109/BIOCAS.2017.8325193

Dejan Rozgić, Vahagn Hokhikyan, Wenlong Jiang, Sina Basir-Kazeruni, H. Chandrakumar, Weiyu Leng, D. Markovic

引用次数: 6