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

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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。
Lin Yao, Peter Brown, Mahsa Shoaran
{"title":"Resting Tremor Detection in Parkinson's Disease with Machine Learning and Kalman Filtering.","authors":"Lin Yao,&nbsp;Peter Brown,&nbsp;Mahsa Shoaran","doi":"10.1109/BIOCAS.2018.8584721","DOIUrl":"https://doi.org/10.1109/BIOCAS.2018.8584721","url":null,"abstract":"<p><p>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<sub>(1,15)</sub>=32.16, p<0.0001). The proposed method holds great promise for efficient on-demand delivery of stimulation in Parkinson's disease.</p>","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://sci-hub-pdf.com/10.1109/BIOCAS.2018.8584721","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: 34
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。
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,&nbsp;Vishalini Emmenegger,&nbsp;Marie Engelene J Obien,&nbsp;Andreas Hierlemann,&nbsp;Urs Frey","doi":"10.1109/BIOCAS.2018.8584735","DOIUrl":"10.1109/BIOCAS.2018.8584735","url":null,"abstract":"<p><p>In recent electrophysiological studies, CMOS-based high-density microelectrode arrays (HD-MEA) have been widely used for studies of both <i>in-vitro</i> and <i>in-vivo</i> 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 μV<sub>rms</sub> for the action potential band (300 Hz - 5 kHz), while the noise level for the switch-matrix readout is 3.1 μV<sub>rms</sub>.</p>","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://sci-hub-pdf.com/10.1109/BIOCAS.2018.8584735","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: 14
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
Orlando Chuquimia, A. Pinna, X. Dray, B. Granado
{"title":"A Real Time Hough Transform Architecture Useable inside a WCE","authors":"Orlando Chuquimia, A. Pinna, X. Dray, B. Granado","doi":"10.1109/BIOCAS.2019.8919052","DOIUrl":"https://doi.org/10.1109/BIOCAS.2019.8919052","url":null,"abstract":"","PeriodicalId":73279,"journal":{"name":"IEEE Biomedical Circuits and Systems Conference : healthcare technology : [proceedings]. IEEE Biomedical Circuits and Systems Conference","volume":"1 1","pages":"1-4"},"PeriodicalIF":0.0,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83030857","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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。
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":"<p><p>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.</p>","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。
Vijay Viswam, Marie Obien, Urs Frey, Felix Franke, Andreas Hierlemann
{"title":"Acquisition of Bioelectrical Signals with Small Electrodes.","authors":"Vijay Viswam, Marie Obien, Urs Frey, Felix Franke, Andreas Hierlemann","doi":"10.1109/BIOCAS.2017.8325216","DOIUrl":"10.1109/BIOCAS.2017.8325216","url":null,"abstract":"<p><p>Although the mechanisms of recording bioelectrical signals from different types of electrogenic cells (neurons, cardiac cells etc.) by means of planar metal electrodes have been extensively studied, the recording characteristics and conditions for very small electrode sizes are not yet established. Here, we present a combined experimental and computational approach to elucidate, how the electrode size influences the recorded signals, and how inherent properties of the electrode, such as impedance, noise, and transmission characteristics shape the signal. We demonstrate that good quality recordings can be achieved with electrode diameters of less than 10 µm, provided that impedance reduction measures have been implemented and provided that a set of requirements for signal amplification has been met.</p>","PeriodicalId":73279,"journal":{"name":"IEEE Biomedical Circuits and Systems Conference : healthcare technology : [proceedings]. IEEE Biomedical Circuits and Systems Conference","volume":"2017 ","pages":"1-4"},"PeriodicalIF":0.0,"publicationDate":"2018-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5958997/pdf/emss-77673.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"36115054","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
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。
Mario M Modena, Ketki Chawla, Flavio Lombardo, Sebastian C Bürgel, Gordana Panic, Jennifer Keiser, Andreas Hierlemann
{"title":"Impedance-based detection of <i>Schistosoma mansoni</i> larvae viability for drug screening.","authors":"Mario M Modena,&nbsp;Ketki Chawla,&nbsp;Flavio Lombardo,&nbsp;Sebastian C Bürgel,&nbsp;Gordana Panic,&nbsp;Jennifer Keiser,&nbsp;Andreas Hierlemann","doi":"10.1109/BIOCAS.2017.8325227","DOIUrl":"https://doi.org/10.1109/BIOCAS.2017.8325227","url":null,"abstract":"<p><p>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 <i>Schistosoma mansoni</i> 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.</p>","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://sci-hub-pdf.com/10.1109/BIOCAS.2017.8325227","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: 4
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。
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":"<p><p>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.</p>","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
Dejan Rozgić, Vahagn Hokhikyan, Wenlong Jiang, Sina Basir-Kazeruni, H. Chandrakumar, Weiyu Leng, D. Markovic
{"title":"A true full-duplex 32-channel 0.135cm3 neural interface","authors":"Dejan Rozgić, Vahagn Hokhikyan, Wenlong Jiang, Sina Basir-Kazeruni, H. Chandrakumar, Weiyu Leng, D. Markovic","doi":"10.1109/BIOCAS.2017.8325193","DOIUrl":"https://doi.org/10.1109/BIOCAS.2017.8325193","url":null,"abstract":"We propose a novel neuromodulation (NM) interface with true 100mV pp linear input range that enables concurrent neural sensing and stimulation. It includes a flexible 4-driver-to-32-contact stimulator that can deliver up to 3.1mA per driver (total 12.4mA) and a 32-channel sensing unit. This 32-channel interface meets design requirements of human-quality implants at unprecedented electronic miniaturization (20x reduction) as compared to prior art. It offers major new clinical perspectives: always-on sensing for enhanced closed-loop therapy, multi-channel arbitrary stimulation waveforms with user-friendly programming, and a high spatial resolution neural interface for precise target localization.","PeriodicalId":73279,"journal":{"name":"IEEE Biomedical Circuits and Systems Conference : healthcare technology : [proceedings]. IEEE Biomedical Circuits and Systems Conference","volume":"24 1","pages":"1-4"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81719454","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 6
Miniature Elastomeric Valve Design for Safe Direct Current Stimulator. 用于安全直流刺激器的微型弹性阀设计。
Chaojun Cheng, Raviraj Thakur, Ankitha Rajagopalan Nair, Scott Sterrett, Gene Fridman
{"title":"Miniature Elastomeric Valve Design for Safe Direct Current Stimulator.","authors":"Chaojun Cheng,&nbsp;Raviraj Thakur,&nbsp;Ankitha Rajagopalan Nair,&nbsp;Scott Sterrett,&nbsp;Gene Fridman","doi":"10.1109/BIOCAS.2017.8325194","DOIUrl":"https://doi.org/10.1109/BIOCAS.2017.8325194","url":null,"abstract":"<p><p>For safety reasons, commercial neural implants use charge-balanced biphasic pulses to interact with target neurons using metal electrodes. Short biphasic pulses are used to avoid irreversible electrochemical reactions at the electrode-tissue interfaces. Biphasic pulses are effective at exciting neurons, but quite limited in inhibiting their activity. In contrast, direct current can both excite and inhibit neurons, however delivered to metal electrodes, it causes toxic electrochemical reactions. We recently introduced Safe Direct Current Stimulator (SDCS) technology, which can excite or inhibit neurons without violating the safety criteria. Instead of direct current, SDCS generates an ionic direct current (iDC) from a biphasic input signal using a network of fluidic channels and mechanical valves. A key enabler towards transforming SDCS concept from a benchtop design to an implantable neural prosthesis is the design of a miniature valve. In this work, we present poly-dimethylsiloxane (PDMS) based elastomeric valves, squeeze valve (SV) and plunger valve (PV) capable of being actuated using a shape memory alloy wire.</p>","PeriodicalId":73279,"journal":{"name":"IEEE Biomedical Circuits and Systems Conference : healthcare technology : [proceedings]. IEEE Biomedical Circuits and Systems Conference","volume":"2017 ","pages":"1-4"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1109/BIOCAS.2017.8325194","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"36657947","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: 6
A CMOS Front-End Interface ASIC for SiPM-based Positron Emission Tomography Imaging Systems. 基于sipm的正电子发射层析成像系统的CMOS前端接口ASIC。
Samrat Dey, Jacques C Rudell, Thomas K Lewellen, Robert S Miyaoka
{"title":"A CMOS Front-End Interface ASIC for SiPM-based Positron Emission Tomography Imaging Systems.","authors":"Samrat Dey,&nbsp;Jacques C Rudell,&nbsp;Thomas K Lewellen,&nbsp;Robert S Miyaoka","doi":"10.1109/BIOCAS.2017.8325059","DOIUrl":"https://doi.org/10.1109/BIOCAS.2017.8325059","url":null,"abstract":"<p><p>A current-mode interface chip for Silicon Photomultiplier (SiPM) array based positron emission tomography (PET) imaging front-ends is described. The circuit uses a high-speed current amplifier with a low input impedance, to minimize signal loss at the SiPM amplifier interface. To reduce the impact of dark noise, a novel high-speed threshold detection/comparator circuit is used to remove unwanted noise events. A prototype chip interfaces an array of SiPMs to the digital backend of a Positron Emission Tomography (PET) system using 64 readout channels, each of which contain a current amplifier and a threshold detection component. To reduce the number of backend channels, a row-column pulse positioning architecture (RCA) has been implemented. The ASIC occupies an area of 14.04 mm<sup>2</sup> in 130nm STMicroelectronics HCMOS9GP process. The measured input impedance of the current amplifier is 20 ohms at 10 MHz, while the threshold detection circuit's propagation delay is 0.3-2ns.</p>","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://sci-hub-pdf.com/10.1109/BIOCAS.2017.8325059","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"36539182","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
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