2008 IEEE Biomedical Circuits and Systems Conference最新文献_第2页

A micropower tilt processing circuit 一种微功率倾斜处理电路

2008 IEEE Biomedical Circuits and Systems Conference Pub Date : 2008-11-20 DOI: 10.1109/BIOCAS.2008.4696908

T. Constandinou, J. Georgiou

引用次数: 5

A novel analogue circuit for controlling prosthetic hands 一种控制假手的新型模拟电路

2008 IEEE Biomedical Circuits and Systems Conference Pub Date : 2008-11-20 DOI: 10.1109/BIOCAS.2008.4696879

E. Mangieri, A. Ahmadi, K. Maharatna, S. Ahmad, P. Chappell

引用次数: 7

Influence of a loose-fitting sensing garment on posture recognition in rehabilitation 一种宽松感测服对康复中姿态识别的影响

2008 IEEE Biomedical Circuits and Systems Conference Pub Date : 2008-11-01 DOI: 10.1109/BIOCAS.2008.4696947

Holger Harms, Oliver Amft, G. Tröster

{"title":"Influence of a loose-fitting sensing garment on posture recognition in rehabilitation","authors":"Holger Harms, Oliver Amft, G. Tröster","doi":"10.1109/BIOCAS.2008.4696947","DOIUrl":"https://doi.org/10.1109/BIOCAS.2008.4696947","url":null,"abstract":"Several smart sensing garments have been proposed for postural and movement rehabilitation. Existing systems require a tight-fitting of the garment at body segments and precise sensor positioning. In this work, we analyzed errors of a loose-fitting sensing garment on the automatic recognition of 21 postures, relevant in shoulder and elbow-rehabilitation. The recognition performance of garment-attached acceleration sensors and additional skin-attached references was compared to discuss challenges in a garment-based classification of postures. The analysis was done with one fixed-size shirt worn by seven participants of varying body proportions. The classification accuracy using data from garment-integrated sensors was on average 13% lower compared to that of skin-attached reference sensors. This relation remained constant even after selecting an optimal input feature set. For garment-attached sensors, we observed that the loss in classification accuracy decreased, if the body dimension increased. Moreover, the alignment error of individual postures was analyzed, to identify movements and postures that are particularly affected by garment fitting aspects. Contrarily, we showed that 14 of the 21 rehabilitation-relevant postures result in a low sensor alignment error. We believe that these results indicate critical design aspects for the deployment of comfortable garments in movement rehabilitation and should be considered in garment and posture selection.","PeriodicalId":415200,"journal":{"name":"2008 IEEE Biomedical Circuits and Systems Conference","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124779635","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: 30

Teflon-seated one-lambda microvalves for PDMS chips 用于PDMS芯片的聚四氟乙烯阀座单λ微阀

2008 IEEE Biomedical Circuits and Systems Conference Pub Date : 2008-11-01 DOI: 10.1109/BIOCAS.2008.4696936

Y. Xie, Y. Wang, F. Azizi, C. Mastrangelo

引用次数: 0

Analog to interval encoder with active use of gate leakage for an implanted blood-sugar sensor 模拟到间隔编码器，主动使用栅极泄漏用于植入血糖传感器

2008 IEEE Biomedical Circuits and Systems Conference Pub Date : 2008-11-01 DOI: 10.1109/BIOCAS.2008.4696901

P. Hafliger, E. Johannessen

{"title":"Analog to interval encoder with active use of gate leakage for an implanted blood-sugar sensor","authors":"P. Hafliger, E. Johannessen","doi":"10.1109/BIOCAS.2008.4696901","DOIUrl":"https://doi.org/10.1109/BIOCAS.2008.4696901","url":null,"abstract":"We have developed an ultra low power integrated circuit control module that will be incorporated into a micro machined pill-sized medical implant that continuously monitors blood-sugar levels for patients with Diabetes mellitus. The circuit converts a piezoresistive sensor signal to an inter-pulse interval suited for digital transmission through a wire-less inductive link. Instead of a full analog-to-digital conversion, this analog-to-analog conversion is much simpler and more power conservative. The circuit is entirely asynchronous, requiring no energy consuming clock and operates on sub-threshold currents. A first prototype, produced with the STM 90 nm CMOS process, consumes 1.7muW. A compact on-chip resistive element is employed in a feedback loop to cancel 1/f-noise and offsets in both the sensor and the initial amplification stage. The resistive element is implemented using the quantum effect of gate-leakage, achieving an equivalent resistance of several GOmega with minimal consumption of layout space. The effectiveness of this noise reduction has been asserted in a 62 hour recording with fixed input. The measured noise spectrum appears completely white down to the minimal frequency of the recording, i.e. 4.5muHz. The standard deviation of single pulse intervals (dynamic range from 4.3ms to 15.4 ms) restricts the reconstruction of the sensor value to an accuracy equivalent to 4.41 bits. Averaging over the samples during 1 second increases this accuracy to 7.84 bits. Longer averaging will further improve that figure at the cost of longer periods of active power consumption of the implant, which will be woken up only once every 5 minutes.","PeriodicalId":415200,"journal":{"name":"2008 IEEE Biomedical Circuits and Systems Conference","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123019622","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: 18

Biomorphic circuits and systems: Control of robotic and prosthetic limbs 仿生电路和系统:机器人和假肢的控制

2008 IEEE Biomedical Circuits and Systems Conference Pub Date : 2008-11-01 DOI: 10.1109/BIOCAS.2008.4696919

F. Tenore, R. Etienne-Cummings

{"title":"Biomorphic circuits and systems: Control of robotic and prosthetic limbs","authors":"F. Tenore, R. Etienne-Cummings","doi":"10.1109/BIOCAS.2008.4696919","DOIUrl":"https://doi.org/10.1109/BIOCAS.2008.4696919","url":null,"abstract":"Rhythmic motions of lower and upper limb prostheses for patients suffering from spinal cord injury (SCI) and amputees can be controlled and modulated using silicon neurons, designed in very large scale integration (VLSI) technology, that mimic pattern generation circuits found in the human spinal cord. Furthermore, synchronized patterns with arbitrarily phase delays, can easily be implemented using this technology. This allows locomotory gaits of any kind to be programmed in silico to control bipedal robotic locomotion. We argue that it is possible to use these circuits to control hand movements in prosthetic upper limbs using the same approach: the neuronspsila oscillatory behavior can trigger rhythmic movements that can be started or stopped at any phase, thus enabling the production of discrete movements in upper limb prosthesis. The bold endeavor of discovering an all-encompassing solution for control of upper and lower limbs will open up new perspectives in the fields of both robotics and prosthetics. In the process of doing so, we have shown how to successfully decode myoelectric signals from able bodied subjects and a transradial amputee, and how the technology developed is suitable for real-time applications, particularly multi-DoF upper limb prostheses. The systems developed in this work have been validated on different platforms dependent on the type of prosthesis required. For lower limb prostheses, a bipedal robot with servomotors actuating its hips and knees was used to prototype walking motions generated by silicon neurons. Upper limb (finger) control was achieved on a Virtual Integration Environment (VIE), developed by JHU's Applied Physics Laboratory (JHUAPL), characterized by real-time processing and visualization of any upper limb motion.","PeriodicalId":415200,"journal":{"name":"2008 IEEE Biomedical Circuits and Systems Conference","volume":"147 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114517165","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: 4

Development of portable cystometry device based on hand-held mobile computer 基于手持移动计算机的便携式膀胱测定仪的研制

2008 IEEE Biomedical Circuits and Systems Conference Pub Date : 2008-11-01 DOI: 10.1109/BIOCAS.2008.4696950

Chulgyu Song, Keo-Sik Kim, Y. An, Jeong-Hwan Seo

引用次数: 0

Wireless multichannel acquisition of neuropotentials 无线多通道神经电位采集

2008 IEEE Biomedical Circuits and Systems Conference Pub Date : 2008-11-01 DOI: 10.1109/BIOCAS.2008.4696871

M. Mollazadeh, K. Murari, H. Schwerdt, Xinghua Wang, N. Thakor, G. Cauwenberghs

{"title":"Wireless multichannel acquisition of neuropotentials","authors":"M. Mollazadeh, K. Murari, H. Schwerdt, Xinghua Wang, N. Thakor, G. Cauwenberghs","doi":"10.1109/BIOCAS.2008.4696871","DOIUrl":"https://doi.org/10.1109/BIOCAS.2008.4696871","url":null,"abstract":"Implantable brain-machine interfaces for disease diagnosis and motor prostheses control require low-power acquisition of neuropotentials spanning a wide range of amplitudes and frequencies. Here, we present a 16-channel VLSI neuropotential acquisition system with tunable gain and bandwidth, and variable rate digital transmission over an inductive link which further supplies power. The neuropotential interface chip is composed of an amplifier, incremental ADC and bit-serial readout circuitry. The front-end amplifier has a midband gain of 40 dB and offers NEF of less than 3 for all bandwidth settings. It also features adjustable low-frequency cut-off from 0.2 to 94 Hz, and independent high-frequency cut-off from 140 Hz to 8.2 kHz. The Gm-C incremental DeltaSigma ADC offers digital gain up to 4096 and 8-12 bits resolution. The interface circuit is powered by a telemetry chip which harvests power through inductive coupling from a 4 MHz link, provides a 1 MHz clock for ADC operation and transmits the bit-serial data of the neurpotential interface across 4 cm at up to 32 kbps with a BER less than 10-5. Experimental EEG recordings using the neuropotential interface and wireless module are presented.","PeriodicalId":415200,"journal":{"name":"2008 IEEE Biomedical Circuits and Systems Conference","volume":"76 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132776547","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: 14

A low-power integrated circuit for analog spike detection and sorting in neural prosthesis systems 神经假体系统中模拟尖峰检测与分类的低功耗集成电路

2008 IEEE Biomedical Circuits and Systems Conference Pub Date : 2008-11-01 DOI: 10.1109/BIOCAS.2008.4696923

A. Bonfanti, T. Borghi, R. Gusmeroli, G. Zambra, A. Spinelli, Andriy Oliynyk, L. Fadiga, G. Baranauskas

{"title":"A low-power integrated circuit for analog spike detection and sorting in neural prosthesis systems","authors":"A. Bonfanti, T. Borghi, R. Gusmeroli, G. Zambra, A. Spinelli, Andriy Oliynyk, L. Fadiga, G. Baranauskas","doi":"10.1109/BIOCAS.2008.4696923","DOIUrl":"https://doi.org/10.1109/BIOCAS.2008.4696923","url":null,"abstract":"Since the proof of viability of prosthetic devices directly controlled by neurons, there is a huge increase in the interest on integrated multichannel recording systems to register neural signals with implanted chronic electrodes. One of the bottlenecks in such compact systems is the limited rate of data transmission by the wireless link, requiring some sort of data compression/reduction. We propose an analog low power integrated system for action potential (AP) detection and sorting that reduces the output data rate ~100 times. In this system, AP detection is performed by a double threshold method that reduces the probability of false detections while AP sorting is based on the measurement of peak and trough amplitudes and peak width. The circuit has been implemented in 0.35 - mum CMOS technology with power consumption of 70 muW per channel including the pre-amplifier. The system was tested with real recorded traces: compared to standard AP sorting techniques, the proposed simple AP sorter was able to correctly assign to single units over 90% of detected APs.","PeriodicalId":415200,"journal":{"name":"2008 IEEE Biomedical Circuits and Systems Conference","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128852816","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: 21

Towards systematic exploration of tradeoffs for medical image registration on heterogeneous platforms 面向异构平台医学图像配准权衡的系统探索

2008 IEEE Biomedical Circuits and Systems Conference Pub Date : 2008-11-01 DOI: 10.1109/BIOCAS.2008.4696872

W. Plishker, O. Dandekar, S. Bhattacharyya, R. Shekhar

{"title":"Towards systematic exploration of tradeoffs for medical image registration on heterogeneous platforms","authors":"W. Plishker, O. Dandekar, S. Bhattacharyya, R. Shekhar","doi":"10.1109/BIOCAS.2008.4696872","DOIUrl":"https://doi.org/10.1109/BIOCAS.2008.4696872","url":null,"abstract":"For the past decade, improving the performance and accuracy of medical image registration has been a driving force of innovation in medical imaging. The ultimate goal of accurate, robust, real-time image registration will enhance diagnoses of patients and enable new image-guided intervention techniques. With such a computationally intensive and multifaceted problem, improvements have been found in high performance platforms such as graphics processors (GPUs) and general purpose clusters, but there has yet to be a solution fast enough and effective enough to gain widespread clinical use. In this study, we examine the differences in accuracy and speed of implementations of the same image registration algorithm on a general purpose uniprocessor, a GPU, and a cluster of GPUs. We utilize a novel domain specific framework that allows us to simultaneously exploit parallelism on a heterogeneous platform. Using a set of representative images, we examine implementations with speedups of up to two orders of magnitude and accuracy varying from sub-millimeter to 2.6 millimeters of average error.","PeriodicalId":415200,"journal":{"name":"2008 IEEE Biomedical Circuits and Systems Conference","volume":"71 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116198855","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: 10