Pub Date : 2010-11-01DOI: 10.1109/BIOCAS.2010.5709609
Xiaofei Chang, Y. Lian
In this paper, we present a design of Quasi-Delay-Insensitive Dual-Rail (QDI-DR) asynchronous FIR low-pass filter working in subthreshold region. The filter is implemented in 0.13μm standard CMOS technology and is able to operate with variations of voltages, temperatures and processes. Postlayout simulation shows the design achieves the lowest operating voltage of 170mV with a speed of 2.5kHz. The most energy-efficient point occurs at 250mV with a Power-Delay Product (PDP) of 2.53pJ.
{"title":"A Quasi-Delay-Insensitive Dual-Rail low-pass filter working in subthreshold region","authors":"Xiaofei Chang, Y. Lian","doi":"10.1109/BIOCAS.2010.5709609","DOIUrl":"https://doi.org/10.1109/BIOCAS.2010.5709609","url":null,"abstract":"In this paper, we present a design of Quasi-Delay-Insensitive Dual-Rail (QDI-DR) asynchronous FIR low-pass filter working in subthreshold region. The filter is implemented in 0.13μm standard CMOS technology and is able to operate with variations of voltages, temperatures and processes. Postlayout simulation shows the design achieves the lowest operating voltage of 170mV with a speed of 2.5kHz. The most energy-efficient point occurs at 250mV with a Power-Delay Product (PDP) of 2.53pJ.","PeriodicalId":440499,"journal":{"name":"2010 Biomedical Circuits and Systems Conference (BioCAS)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130111143","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}
Pub Date : 2010-11-01DOI: 10.1109/BIOCAS.2010.5709614
Simeon A. Bamford, M. Giulioni
A field-programmable device has been developed, specialised for neural signal processing and neural modelling applications. The device combines analogue and digital functions, yet unlike other designs for Field-Programmable Mixed-signal Arrays (FPMA), there is no separation between the analogue and digital domains. To allow analogue values to act directly as inputs to digital blocks, all digital circuitry has limited crowbar current. The method of limiting yields lopsided logic thresholds. Two uses of this are demonstrated: a gate which detects digital saturation, and a D-type flip flop which is insensitive to clock slew rate.
{"title":"Intimate mixing of analogue and digital signals in a field-programmable mixed-signal array with lopsided logic","authors":"Simeon A. Bamford, M. Giulioni","doi":"10.1109/BIOCAS.2010.5709614","DOIUrl":"https://doi.org/10.1109/BIOCAS.2010.5709614","url":null,"abstract":"A field-programmable device has been developed, specialised for neural signal processing and neural modelling applications. The device combines analogue and digital functions, yet unlike other designs for Field-Programmable Mixed-signal Arrays (FPMA), there is no separation between the analogue and digital domains. To allow analogue values to act directly as inputs to digital blocks, all digital circuitry has limited crowbar current. The method of limiting yields lopsided logic thresholds. Two uses of this are demonstrated: a gate which detects digital saturation, and a D-type flip flop which is insensitive to clock slew rate.","PeriodicalId":440499,"journal":{"name":"2010 Biomedical Circuits and Systems Conference (BioCAS)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129028817","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}
Pub Date : 2010-11-01DOI: 10.1109/BIOCAS.2010.5709595
N. van Dongen Marijn, A. Wouter
Neural stimulators are expected to play an important role in the future treatment of a wide range of pathologies. A novel system architecture was presented in which the fundamental quantity for functional electrical stimulation, charge, is controlled by measuring the stimulation current [1]. This sets the need for a current integrator to calculate the injected charge. Existing current integrators cannot cope with the specifications for the neural stimulator, including a very high dynamic range, low power consumption and robust enough against process and power supply variations. Therefore a current integrator design is proposed here, which is able to handle a large dynamic range by converting the output to a periodic signal. For this purpose a novel Schmitt trigger design is presented based on a threshold compensated inverter. The implementation shown here has a dynamic range of 100 dB, while achieving a low static power consumption (171nW). This makes it suitable for application in an implantable neural stimulator.
{"title":"Design of a low power 100 dB dynamic range integrator for an implantable neural stimulator","authors":"N. van Dongen Marijn, A. Wouter","doi":"10.1109/BIOCAS.2010.5709595","DOIUrl":"https://doi.org/10.1109/BIOCAS.2010.5709595","url":null,"abstract":"Neural stimulators are expected to play an important role in the future treatment of a wide range of pathologies. A novel system architecture was presented in which the fundamental quantity for functional electrical stimulation, charge, is controlled by measuring the stimulation current [1]. This sets the need for a current integrator to calculate the injected charge. Existing current integrators cannot cope with the specifications for the neural stimulator, including a very high dynamic range, low power consumption and robust enough against process and power supply variations. Therefore a current integrator design is proposed here, which is able to handle a large dynamic range by converting the output to a periodic signal. For this purpose a novel Schmitt trigger design is presented based on a threshold compensated inverter. The implementation shown here has a dynamic range of 100 dB, while achieving a low static power consumption (171nW). This makes it suitable for application in an implantable neural stimulator.","PeriodicalId":440499,"journal":{"name":"2010 Biomedical Circuits and Systems Conference (BioCAS)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116639078","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}
Pub Date : 2010-11-01DOI: 10.1109/BIOCAS.2010.5709620
Massari Nicola, D. Marco, P. Gianmaria, Gottardi Massimo
An ultra-low power biologically inspired pixel is presented in this paper. The pixel has been simulated and designed in 0.35μm CMOS technology and then successfully tested. The core oscillating pixel is a circuit that basically consists of only 5 transistors, potentially showing a reasonable pixel pitch. Thanks to the implemented light to frequency conversion, this pixel topology allows to realize a pulsed-based architecture for a bio-inspired camera. The digital output of the proposed circuit is demonstrated to be linearly proportional to the light impinging on the photodiode potentially performing a dynamic range of more than 120dB and showing a simulated power consumption of 470pJ/MHz per pixel.
{"title":"A high dynamic range low power oscillating pixel for a bio-inspired sensor","authors":"Massari Nicola, D. Marco, P. Gianmaria, Gottardi Massimo","doi":"10.1109/BIOCAS.2010.5709620","DOIUrl":"https://doi.org/10.1109/BIOCAS.2010.5709620","url":null,"abstract":"An ultra-low power biologically inspired pixel is presented in this paper. The pixel has been simulated and designed in 0.35μm CMOS technology and then successfully tested. The core oscillating pixel is a circuit that basically consists of only 5 transistors, potentially showing a reasonable pixel pitch. Thanks to the implemented light to frequency conversion, this pixel topology allows to realize a pulsed-based architecture for a bio-inspired camera. The digital output of the proposed circuit is demonstrated to be linearly proportional to the light impinging on the photodiode potentially performing a dynamic range of more than 120dB and showing a simulated power consumption of 470pJ/MHz per pixel.","PeriodicalId":440499,"journal":{"name":"2010 Biomedical Circuits and Systems Conference (BioCAS)","volume":"163 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134331726","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}
Pub Date : 2010-11-01DOI: 10.1109/BIOCAS.2010.5709622
R. Mill, Sadique Sheik, Giacomo Indiveri, Susan L. Denham
Stimulus-specific adaptation (SSA) is a phenomenon observed in neural systems which occurs when the spike count elicited in a single neuron by external stimuli decreases with repetitions of the same stimulus, and recovers when a different stimulus is presented. SSA therefore effectively highlights rare events in stimulus sequences, and suppresses responses to repetitive ones. In this paper we present a model of SSA based on synaptic depression and describe its implementation in neuromorphic analog VLSI. The hardware system is evaluated using biologically realistic spike trains with parameters chosen to match those used in physiological experiments. We examine the effect of input parameters upon SSA and show that the trends apparent in the results obtained in silico compare favourably with those observed in biological neurons.
{"title":"A model of stimulus-specific adaptation in neuromorphic a VLSI","authors":"R. Mill, Sadique Sheik, Giacomo Indiveri, Susan L. Denham","doi":"10.1109/BIOCAS.2010.5709622","DOIUrl":"https://doi.org/10.1109/BIOCAS.2010.5709622","url":null,"abstract":"Stimulus-specific adaptation (SSA) is a phenomenon observed in neural systems which occurs when the spike count elicited in a single neuron by external stimuli decreases with repetitions of the same stimulus, and recovers when a different stimulus is presented. SSA therefore effectively highlights rare events in stimulus sequences, and suppresses responses to repetitive ones. In this paper we present a model of SSA based on synaptic depression and describe its implementation in neuromorphic analog VLSI. The hardware system is evaluated using biologically realistic spike trains with parameters chosen to match those used in physiological experiments. We examine the effect of input parameters upon SSA and show that the trends apparent in the results obtained in silico compare favourably with those observed in biological neurons.","PeriodicalId":440499,"journal":{"name":"2010 Biomedical Circuits and Systems Conference (BioCAS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134050488","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}
Pub Date : 2010-11-01DOI: 10.1109/BIOCAS.2010.5709573
D. Herman Stephen, Jennifer Blain Christen
We discuss the fabrication and characterization details of an optical oxygen sensor for use in a cell culture microsystem. The sensor operates by measuring changes in the fluorescence intensity of (2–2'-bipyridine) dichlororuthenium (II) hexahydrate molecules that are immobilized in a silicone film. The sensor we demonstrate herein is highly linear, reversible, and is compatible with common biomedical sterilization procedures.
{"title":"Fabrication and characterization of a silicone fluorescent oxygen sensor","authors":"D. Herman Stephen, Jennifer Blain Christen","doi":"10.1109/BIOCAS.2010.5709573","DOIUrl":"https://doi.org/10.1109/BIOCAS.2010.5709573","url":null,"abstract":"We discuss the fabrication and characterization details of an optical oxygen sensor for use in a cell culture microsystem. The sensor operates by measuring changes in the fluorescence intensity of (2–2'-bipyridine) dichlororuthenium (II) hexahydrate molecules that are immobilized in a silicone film. The sensor we demonstrate herein is highly linear, reversible, and is compatible with common biomedical sterilization procedures.","PeriodicalId":440499,"journal":{"name":"2010 Biomedical Circuits and Systems Conference (BioCAS)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124009208","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}
Pub Date : 2010-11-01DOI: 10.1109/BIOCAS.2010.5709602
Theodore Yu, T. Sejnowski, G. Cauwenberghs
We study a range of neural dynamics under variations in biophysical parameters implementing extended Morris-Lecar and Hodgkin-Huxley models in three gating variables. The dynamics are emulated in NeuroDyn, an analog VLSI programmable neural emulation platform with generalized channel kinetics and biophysical membrane dynamics. We present simulation and measurement results and observe consistent agreement over a wide regime of tonic spiking and intrinsic bursting dynamics through the variation of a single conductance parameter governing calcium recovery.
{"title":"Biophysical neural spiking and bursting dynamics in reconfigurable analog VLSI","authors":"Theodore Yu, T. Sejnowski, G. Cauwenberghs","doi":"10.1109/BIOCAS.2010.5709602","DOIUrl":"https://doi.org/10.1109/BIOCAS.2010.5709602","url":null,"abstract":"We study a range of neural dynamics under variations in biophysical parameters implementing extended Morris-Lecar and Hodgkin-Huxley models in three gating variables. The dynamics are emulated in NeuroDyn, an analog VLSI programmable neural emulation platform with generalized channel kinetics and biophysical membrane dynamics. We present simulation and measurement results and observe consistent agreement over a wide regime of tonic spiking and intrinsic bursting dynamics through the variation of a single conductance parameter governing calcium recovery.","PeriodicalId":440499,"journal":{"name":"2010 Biomedical Circuits and Systems Conference (BioCAS)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124042932","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}
Pub Date : 2010-11-01DOI: 10.1109/BIOCAS.2010.5709625
M. Shimojima, A. Eguchi, T. Iwanaga, Y. Mizuno, K. Setoguchi, S. Watanabe, Y. Sato, Y. Tanaka
We have developed a versatile nurse support system. The system adapts different wireless technologies to best suite the applications and yet provides a uniform platform to build a user-friendly environment for visiting nurses, gerontological nurses, and at central hospitals. It is designed to ease the daily work of these nurses by eliminating the needs to manually record medical information into multiple systems and enhancing communication between nurses and doctors.
{"title":"A versatile nurse support system using Bluetooth and FeliCa","authors":"M. Shimojima, A. Eguchi, T. Iwanaga, Y. Mizuno, K. Setoguchi, S. Watanabe, Y. Sato, Y. Tanaka","doi":"10.1109/BIOCAS.2010.5709625","DOIUrl":"https://doi.org/10.1109/BIOCAS.2010.5709625","url":null,"abstract":"We have developed a versatile nurse support system. The system adapts different wireless technologies to best suite the applications and yet provides a uniform platform to build a user-friendly environment for visiting nurses, gerontological nurses, and at central hospitals. It is designed to ease the daily work of these nurses by eliminating the needs to manually record medical information into multiple systems and enhancing communication between nurses and doctors.","PeriodicalId":440499,"journal":{"name":"2010 Biomedical Circuits and Systems Conference (BioCAS)","volume":"68 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124584561","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}
Pub Date : 2010-11-01DOI: 10.1109/BIOCAS.2010.5709569
Oyvind Aardal, S. Hamran, T. Berger, Jan Hammerstad, T. Lande
This paper describes an experimental approach for finding the radar cross section (RCS) of human heartbeats and respiratory movements. A measurement setup, a calibration routine and required processing steps are presented. Using a 2–3GHz Ultra Wideband (UWB) radar, heartbeats and respiration of a human subject were recorded from a distance of 1.14m. Combining the recorded data to measurements with a calibration sphere, the calibrated human heartbeat and respiration RCS was detected.
{"title":"Radar cross section of the human heartbeat and respiration","authors":"Oyvind Aardal, S. Hamran, T. Berger, Jan Hammerstad, T. Lande","doi":"10.1109/BIOCAS.2010.5709569","DOIUrl":"https://doi.org/10.1109/BIOCAS.2010.5709569","url":null,"abstract":"This paper describes an experimental approach for finding the radar cross section (RCS) of human heartbeats and respiratory movements. A measurement setup, a calibration routine and required processing steps are presented. Using a 2–3GHz Ultra Wideband (UWB) radar, heartbeats and respiration of a human subject were recorded from a distance of 1.14m. Combining the recorded data to measurements with a calibration sphere, the calibrated human heartbeat and respiration RCS was detected.","PeriodicalId":440499,"journal":{"name":"2010 Biomedical Circuits and Systems Conference (BioCAS)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127998497","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}
Pub Date : 2010-11-01DOI: 10.1109/BIOCAS.2010.5709556
Fei Zhang, M. Aghagolzadeh, K. Oweiss
In this work, a fully implantable and scalable neuroprocessor has been designed to process neural recordings in awake behaving animals. The neuroprocessor operates at 6.4 MHz to process neural signals from 32 microelectrode channels sampled at 25 KHz and transmits only the critical neural information over a 1 Mbps wireless channel in order to meet the stringent hardware and communication constraints imposed on an implantable device. The neuroprocessor can be programmed to compress neural data using a sparse representation of neural signals via lifting discrete wavelet transform (DWT) and/or perform on-the-fly spike sorting on the compressed data stream if followed by a “smart” thresholding mechanism. This unique feature reduces the overall system latency and permit instantaneous decoding of neural signals to take place in real-time. The neuroprocessor therefore uses the limited telemetry bandwidth more efficiently while preserving important information in the neural data, and hence improves the practicality and viability of implantable microelectrode arrays to accelerate their deployment in clinical applications of brain-machine interfaces.
{"title":"An implantable neuroprocessor for multichannel compressive neural recording and on-the-fly spike sorting with wireless telemetry","authors":"Fei Zhang, M. Aghagolzadeh, K. Oweiss","doi":"10.1109/BIOCAS.2010.5709556","DOIUrl":"https://doi.org/10.1109/BIOCAS.2010.5709556","url":null,"abstract":"In this work, a fully implantable and scalable neuroprocessor has been designed to process neural recordings in awake behaving animals. The neuroprocessor operates at 6.4 MHz to process neural signals from 32 microelectrode channels sampled at 25 KHz and transmits only the critical neural information over a 1 Mbps wireless channel in order to meet the stringent hardware and communication constraints imposed on an implantable device. The neuroprocessor can be programmed to compress neural data using a sparse representation of neural signals via lifting discrete wavelet transform (DWT) and/or perform on-the-fly spike sorting on the compressed data stream if followed by a “smart” thresholding mechanism. This unique feature reduces the overall system latency and permit instantaneous decoding of neural signals to take place in real-time. The neuroprocessor therefore uses the limited telemetry bandwidth more efficiently while preserving important information in the neural data, and hence improves the practicality and viability of implantable microelectrode arrays to accelerate their deployment in clinical applications of brain-machine interfaces.","PeriodicalId":440499,"journal":{"name":"2010 Biomedical Circuits and Systems Conference (BioCAS)","volume":"145 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122772320","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}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：