2017 IEEE Biomedical Circuits and Systems Conference (BioCAS)最新文献_第5页

A miniaturized wearable wireless hand gesture recognition system employing deep-forest classifier 基于深度森林分类器的小型化可穿戴无线手势识别系统

2017 IEEE Biomedical Circuits and Systems Conference (BioCAS) Pub Date : 2017-10-01 DOI: 10.1109/BIOCAS.2017.8325161

Jian Zhao, Jingna Mao, Guijin Wang, Huazhong Yang, Bo Zhao

引用次数: 6

Acoustic analog front-end for Bragg-Peak detection in hadron therapy 强子治疗中Bragg-Peak检测的声学模拟前端

2017 IEEE Biomedical Circuits and Systems Conference (BioCAS) Pub Date : 2017-10-01 DOI: 10.1109/BIOCAS.2017.8325223

Michele Riva, E. Vallicelli, A. Baschirotto, M. Matteis

{"title":"Acoustic analog front-end for Bragg-Peak detection in hadron therapy","authors":"Michele Riva, E. Vallicelli, A. Baschirotto, M. Matteis","doi":"10.1109/BIOCAS.2017.8325223","DOIUrl":"https://doi.org/10.1109/BIOCAS.2017.8325223","url":null,"abstract":"Clinical proton and ions beams for cancer treatment provide maximum energy deposition (Bragg Peak, BP) at the end of their range and practically no dose behind. This enables a more efficient therapeutic option comparing with classical photon-based radiotherapy where maximum energy deposition occurs at the body/tissues interface. Obviously, optimum/minimum-error BP detection and calibration is thus a key aspect of this treatment. This work investigates a promising detection technique, based on the so called (proton) iono-acoustic effect. The BP energy deposition causes a small (mK) heating of the surrounding region that in turn induces a pressure variation. This propagates an ultrasound signal (MHz range) whose time-of-flight measurement aims to detect the BP position with very high accuracy (<1mm). This paper presents the simulation results of complete mixed-signals and mixed-energies model that starting from proton beam energy calculates the induced pressure variation in water, emulates the propagation of sound waves in the medium and finally provides a voltage signal (including noise) whose time evolution determines BP position.","PeriodicalId":361477,"journal":{"name":"2017 IEEE Biomedical Circuits and Systems Conference (BioCAS)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122550432","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: 3

Live demonstration: Targeted transcutaneous electrical nerve stimulation for phantom limb sensory feedback 现场演示:针对幻肢感觉反馈的经皮神经电刺激

2017 IEEE Biomedical Circuits and Systems Conference (BioCAS) Pub Date : 2017-10-01 DOI: 10.1109/BIOCAS.2017.8325101

Luke E. Osborn, Joseph L. Betthauser, R. Kaliki, N. Thakor

引用次数: 3

An adaptable interface circuit for low power MEMS piezoelectric energy harvesters with multi-stage energy extraction 基于多级能量提取的低功耗MEMS压电能量采集器的自适应接口电路

2017 IEEE Biomedical Circuits and Systems Conference (BioCAS) Pub Date : 2017-10-01 DOI: 10.1109/BIOCAS.2017.8325114

S. Chamanian, H. Uluşan, Ö. Zorlu, A. Muhtaroğlu, H. Kulah

引用次数: 2

Microfabrication, assembly, and hermetic packaging of mm-sized free-floating neural probes 毫米大小的自由漂浮神经探针的微加工、组装和密封包装

2017 IEEE Biomedical Circuits and Systems Conference (BioCAS) Pub Date : 2017-10-01 DOI: 10.1109/BIOCAS.2017.8325214

Pyungwoo Yeon, Joe L. Gonzalez, Muneeb Zia, Sreejith Kochupurackal Rajan, G. May, M. Bakir, Maysam Ghovanloo

{"title":"Microfabrication, assembly, and hermetic packaging of mm-sized free-floating neural probes","authors":"Pyungwoo Yeon, Joe L. Gonzalez, Muneeb Zia, Sreejith Kochupurackal Rajan, G. May, M. Bakir, Maysam Ghovanloo","doi":"10.1109/BIOCAS.2017.8325214","DOIUrl":"https://doi.org/10.1109/BIOCAS.2017.8325214","url":null,"abstract":"In this paper, we present a new micromachining (MEMS) fabrication process, microassembly, and hermetic packaging of free-floating neural probes (<1 mm3), wrapped with a bonding-wire coil for wireless power/data transmission and remote monitoring of hermetic sealing failure. The current prototype probe is a pushpin-shaped implantable device consisting of a mock-up integrated circuit (IC) that also serves as a substrate, stacked above a microfabricated silicon die with a 0100 μm non-plated through-hole and embedded cavities to house small surface mount (SMD) capacitors. In center of the micromachined die, a 081 μm sharpened tungsten electrode is inserted and held upright in the through-hole. Except for the tip of the electrode, the device is coated with 5 μm thick parylene-C for hermetic sealing with an additional layer of Polydimethylsiloxane (PDMS) to improve biocompatibility. The bonding-wire wound coils are carefully characterized and compared with electromagnetic simulations. Variations in the Q-factor and resonance frequency, which affect power/data transmission performance have been examined across 12 samples in terms of phase-dip amplitude, which corresponds to failure in hermetic sealing.","PeriodicalId":361477,"journal":{"name":"2017 IEEE Biomedical Circuits and Systems Conference (BioCAS)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123741272","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

Development of an electrochemical caffeine sensor for PAT application in the food and beverage industry 用于食品和饮料工业PAT的电化学咖啡因传感器的研制

2017 IEEE Biomedical Circuits and Systems Conference (BioCAS) Pub Date : 2017-10-01 DOI: 10.1109/BIOCAS.2017.8325177

Shauna Scanlon, W. Messina, E. Moore, Sharon A. Rothwell, Scott Harrison

引用次数: 4

EARNEST: A 64 channel device for neural recording and sensory touch restoration in neural prosthetics EARNEST:一种用于神经义肢中神经记录和感觉触觉恢复的64通道装置

2017 IEEE Biomedical Circuits and Systems Conference (BioCAS) Pub Date : 2017-10-01 DOI: 10.1109/BIOCAS.2017.8325549

Caterina Carboni, Lorenzo Bisoni, R. Puddu, G. Barabino, D. Pani, L. Raffo, M. Barbaro

引用次数: 2

From LIF to AdEx neuron models: Accelerated analog 65 nm CMOS implementation 从LIF到AdEx神经元模型:加速模拟65纳米CMOS实现

2017 IEEE Biomedical Circuits and Systems Conference (BioCAS) Pub Date : 2017-10-01 DOI: 10.1109/BIOCAS.2017.8325167

Syed Ahmed Aamir, Paul Müller, Laura Kriener, G. Kiene, J. Schemmel, K. Meier

引用次数: 8

Minimally invasive intracranial pressure monitoring: An epidural approach with a piezoresistive probe 微创颅内压监测:硬膜外压阻探头入路

2017 IEEE Biomedical Circuits and Systems Conference (BioCAS) Pub Date : 2017-10-01 DOI: 10.1109/BIOCAS.2017.8325199

Jonathan Garich, Nicholas Fritz, D. Kullman, J. Munoz, J. Christen

引用次数: 2

A computational framework for effective isolation of single-unit activity from in-vivo electrophysiological recording 从体内电生理记录中有效分离单个单位活动的计算框架

2017 IEEE Biomedical Circuits and Systems Conference (BioCAS) Pub Date : 2017-10-01 DOI: 10.1109/BIOCAS.2017.8325164

Hristos S. Courellis, Samuel U. Nummela, Cory T. Miller, G. Cauwenberghs

{"title":"A computational framework for effective isolation of single-unit activity from in-vivo electrophysiological recording","authors":"Hristos S. Courellis, Samuel U. Nummela, Cory T. Miller, G. Cauwenberghs","doi":"10.1109/BIOCAS.2017.8325164","DOIUrl":"https://doi.org/10.1109/BIOCAS.2017.8325164","url":null,"abstract":"Modern spike sorting techniques are heavily reliant on unsupervised machine learning algorithms for isolation of single-unit activity from noisy channel recordings. One of the most common methods, k-means clustering, is highly sensitive to the number of clusters selected (k) prior to analysis. A robust automated method for determining k is required, in particular for the large datasets currently being analyzed by the Neuroscience community. Information criteria, often applied for this analysis, can yield over-fitted clustering recommendations and employ strong assumptions about cluster gaussianity which do not necessarily hold for real in-vivo neuro-electrophysiological recordings. An algorithmic approach to spike sorting is applied utilizing tandem multi-level wavelet decomposition and principal component analysis to construct a discriminant feature space. K-means clustering is applied to this feature space using a variety of distance metrics to determine which approach yields optimal cluster separation. Clustering outcomes are evaluated using the Entropic Product, an information entropy-based measure that makes no assumptions about the underlying distribution of spikes within a cluster. This measure is demonstrated to be more informative about clustering outcomes than other information criteria when sorting spike data collected using bundled microwire arrays implanted in the Primary Visual Cortex of marmosets conducting a visual-stimulation task.","PeriodicalId":361477,"journal":{"name":"2017 IEEE Biomedical Circuits and Systems Conference (BioCAS)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133225784","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: 1