Pub Date : 2007-11-01DOI: 10.1109/BIOCAS.2007.4463321
N. Nelson, S. Prakash, D. Sander, M. Dandin, A. Sarje, Honghao Ji, P. Abshire
We report the development of a handheld fluorometer for UV excitable fluorescence assays. The handheld detector serves as a demonstration platform for an integrated fluorescence sensor and comprises a CMOS detector coated with a polymer based optical filter and placed in close proximity to a UV LED which is used as an excitation source. The sensor function has been validated for metabolic activity and cytotoxicity assays. The fluorometer was able to determine NADH concentration as low as 17 muM and was able to track NADH production in live yeast cells over time and as the yeast cell concentration varied. The sensor was also used to discriminate the viability of human intestinal adenocarcinoma cells (Caco-2 cell line) using a live/dead stain after exposure to toxic and benign nanoparticles. The integrated fluorescence sensor is suitable for microscale fluorescence detection in lab-on-a-chip applications.
{"title":"A Handheld Fluorometer for UV Excitable Fluorescence Assays","authors":"N. Nelson, S. Prakash, D. Sander, M. Dandin, A. Sarje, Honghao Ji, P. Abshire","doi":"10.1109/BIOCAS.2007.4463321","DOIUrl":"https://doi.org/10.1109/BIOCAS.2007.4463321","url":null,"abstract":"We report the development of a handheld fluorometer for UV excitable fluorescence assays. The handheld detector serves as a demonstration platform for an integrated fluorescence sensor and comprises a CMOS detector coated with a polymer based optical filter and placed in close proximity to a UV LED which is used as an excitation source. The sensor function has been validated for metabolic activity and cytotoxicity assays. The fluorometer was able to determine NADH concentration as low as 17 muM and was able to track NADH production in live yeast cells over time and as the yeast cell concentration varied. The sensor was also used to discriminate the viability of human intestinal adenocarcinoma cells (Caco-2 cell line) using a live/dead stain after exposure to toxic and benign nanoparticles. The integrated fluorescence sensor is suitable for microscale fluorescence detection in lab-on-a-chip applications.","PeriodicalId":273819,"journal":{"name":"2007 IEEE Biomedical Circuits and Systems Conference","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127285791","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 : 2007-11-01DOI: 10.1109/BIOCAS.2007.4463314
J. Tapson, C. Jin, A. van Schaik
We present an architecture for a bio-inspired circuit that implements a wide-range cross-correlation. The circuit implements a stochastic approximation to mathematical cross-correlation. The basic circuit element is a noise-driven oscillator consisting of an integrator, a Schmitt inverter, and a switch which switches between the two signals to be cross-correlated. These elements can be developed into an NxN array which extends the cross-correlation range and improves the speed and accuracy of the approximation.
{"title":"A Scalable Architecture for Event-Based Cross-Correlation","authors":"J. Tapson, C. Jin, A. van Schaik","doi":"10.1109/BIOCAS.2007.4463314","DOIUrl":"https://doi.org/10.1109/BIOCAS.2007.4463314","url":null,"abstract":"We present an architecture for a bio-inspired circuit that implements a wide-range cross-correlation. The circuit implements a stochastic approximation to mathematical cross-correlation. The basic circuit element is a noise-driven oscillator consisting of an integrator, a Schmitt inverter, and a switch which switches between the two signals to be cross-correlated. These elements can be developed into an NxN array which extends the cross-correlation range and improves the speed and accuracy of the approximation.","PeriodicalId":273819,"journal":{"name":"2007 IEEE Biomedical Circuits and Systems Conference","volume":"9 3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123659365","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 : 2007-11-01DOI: 10.1109/BIOCAS.2007.4463296
H. Powell, M. Hanson, J. Lach
TEMPO (Technology-Enabled Medical Precision Observation) 1.0 is a novel, first-generation, wearable data collection and analysis platform for assessment of a variety of human movement disorders, including tremor. It enables quantitative, objective, and continuous measurement of movement with minimal invasiveness and inconvenience to the patient and clinician, respectively. This system meets requirements for wearability, data storage, sampling rate, number of sensors, interface methods, and form factor, which are necessary for applications on person. In addition to the design and development of a basic data acquisition device, various circuits and systems were engineered to interface wearable, triaxial MEMS inertial sensors. Furthermore, custom data analysis software that processes datasets collected from the device and sensors, was created, and has demonstrated clinical utility in the analysis of tremor. Data processing techniques include a unique filtering scheme and a novel application of cross-correlation. The analysis was conducted pre- and post-operatively, in conjunction with the University of Virginia's Department of Neurosurgery, for a study of deep brain stimulation efficacy. This paper presents the engineering of and experimental results obtained with TEMPO 1.0 technology in the clinical assessment of tremor.
TEMPO (Technology-Enabled Medical Precision Observation) 1.0是一种全新的第一代可穿戴数据收集和分析平台，用于评估包括震颤在内的各种人类运动障碍。它能够定量、客观和连续地测量运动，对患者和临床医生分别具有最小的侵入性和不便。该系统在可穿戴性、数据存储、采样率、传感器数量、接口方式、外形尺寸等方面满足了人体应用的要求。除了设计和开发基本的数据采集设备外，还设计了各种电路和系统来连接可穿戴的三轴MEMS惯性传感器。此外，定制数据分析软件，处理从设备和传感器收集的数据集，被创建，并已证明在临床应用分析震颤。数据处理技术包括独特的滤波方案和互相关的新应用。这项分析是与弗吉尼亚大学神经外科联合进行的，目的是研究深部脑刺激的效果。本文介绍了TEMPO 1.0技术在震颤临床评价中的工程原理和实验结果。
{"title":"A Wearable Inertial Sensing Technology for Clinical Assessment of Tremor","authors":"H. Powell, M. Hanson, J. Lach","doi":"10.1109/BIOCAS.2007.4463296","DOIUrl":"https://doi.org/10.1109/BIOCAS.2007.4463296","url":null,"abstract":"TEMPO (Technology-Enabled Medical Precision Observation) 1.0 is a novel, first-generation, wearable data collection and analysis platform for assessment of a variety of human movement disorders, including tremor. It enables quantitative, objective, and continuous measurement of movement with minimal invasiveness and inconvenience to the patient and clinician, respectively. This system meets requirements for wearability, data storage, sampling rate, number of sensors, interface methods, and form factor, which are necessary for applications on person. In addition to the design and development of a basic data acquisition device, various circuits and systems were engineered to interface wearable, triaxial MEMS inertial sensors. Furthermore, custom data analysis software that processes datasets collected from the device and sensors, was created, and has demonstrated clinical utility in the analysis of tremor. Data processing techniques include a unique filtering scheme and a novel application of cross-correlation. The analysis was conducted pre- and post-operatively, in conjunction with the University of Virginia's Department of Neurosurgery, for a study of deep brain stimulation efficacy. This paper presents the engineering of and experimental results obtained with TEMPO 1.0 technology in the clinical assessment of tremor.","PeriodicalId":273819,"journal":{"name":"2007 IEEE Biomedical Circuits and Systems Conference","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117203505","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 : 2007-11-01DOI: 10.1109/BIOCAS.2007.4463340
M. Vamshi Krishna, J. Xie, W. M. Lim, M. Do, K. Yeo, C. Boon
This paper presents a low power, high resolution 2.4 GHz CMOS frequency synthesizer for low power wireless LAN applications. The PLL frequency synthesizer consists of a fully programmable frequency divider with a resolution of 1 MHz in the range of 2.4 GHz-2.484 GHz.The measured results showed that the programmable divider consumes 946 uA and Quadrature VCO consumes 1.57 mA and produces output swing of 650-700 mVpp. The complete synthesizer is designed using the Chartered RF 0.18 um process and synthesizer consumes 2.7 mA.
{"title":"A Low Power Fully Programmable 1MHz Resolution 2.4GHz CMOS PLL Frequency Synthesizer","authors":"M. Vamshi Krishna, J. Xie, W. M. Lim, M. Do, K. Yeo, C. Boon","doi":"10.1109/BIOCAS.2007.4463340","DOIUrl":"https://doi.org/10.1109/BIOCAS.2007.4463340","url":null,"abstract":"This paper presents a low power, high resolution 2.4 GHz CMOS frequency synthesizer for low power wireless LAN applications. The PLL frequency synthesizer consists of a fully programmable frequency divider with a resolution of 1 MHz in the range of 2.4 GHz-2.484 GHz.The measured results showed that the programmable divider consumes 946 uA and Quadrature VCO consumes 1.57 mA and produces output swing of 650-700 mVpp. The complete synthesizer is designed using the Chartered RF 0.18 um process and synthesizer consumes 2.7 mA.","PeriodicalId":273819,"journal":{"name":"2007 IEEE Biomedical Circuits and Systems Conference","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133406703","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 : 2007-11-01DOI: 10.1109/BIOCAS.2007.4463330
Lan-Rong Dung, Tsung-Hsi Chiang
This paper proposes an efficient framework of high-quality image compression method for upper Gastrointestinal tract endoscopy images. The proposed DEWC coding method saves traditional image preprocessing computations, such as demosaicking and color-space transformation, and directly utilizes raw image data acquired from CMOS sensor. R, G and B band image are then separately encoded by wavelet-based SPECK coding. In a cardinal GI tract environment, the spatial frequency distribution of red component is lower than green or blue, and green component is relatively high while compared to blue and red components. DEWC coding saves more bits on red band while allocating more bits on green and blue bands. Therefore, under a fixed compression ratio, such non-uniform bit-rate allocation may earn a better image quality. To measure quality-loss in non-uniform bit-rate allocation, a quality quantified measurement called color-distortion based on CIE94 color-difference formula is also proposed. By using analytical result of color-distortion in bit-rate and bit-rate-difference analysis, an optimal/suboptimal bit-rate allocation scheme can be found by solving linear equations derived from the relationship of color-distortion and bit-rate-difference. When comparing to general JPEG2000 compression standard, the experimental result shows that proposed DEWC coding has a better image quality in color-distortion measurement and more efficient performance in execution time.
{"title":"High-Quality Image Compression for Gastrointestinal Endoscope","authors":"Lan-Rong Dung, Tsung-Hsi Chiang","doi":"10.1109/BIOCAS.2007.4463330","DOIUrl":"https://doi.org/10.1109/BIOCAS.2007.4463330","url":null,"abstract":"This paper proposes an efficient framework of high-quality image compression method for upper Gastrointestinal tract endoscopy images. The proposed DEWC coding method saves traditional image preprocessing computations, such as demosaicking and color-space transformation, and directly utilizes raw image data acquired from CMOS sensor. R, G and B band image are then separately encoded by wavelet-based SPECK coding. In a cardinal GI tract environment, the spatial frequency distribution of red component is lower than green or blue, and green component is relatively high while compared to blue and red components. DEWC coding saves more bits on red band while allocating more bits on green and blue bands. Therefore, under a fixed compression ratio, such non-uniform bit-rate allocation may earn a better image quality. To measure quality-loss in non-uniform bit-rate allocation, a quality quantified measurement called color-distortion based on CIE94 color-difference formula is also proposed. By using analytical result of color-distortion in bit-rate and bit-rate-difference analysis, an optimal/suboptimal bit-rate allocation scheme can be found by solving linear equations derived from the relationship of color-distortion and bit-rate-difference. When comparing to general JPEG2000 compression standard, the experimental result shows that proposed DEWC coding has a better image quality in color-distortion measurement and more efficient performance in execution time.","PeriodicalId":273819,"journal":{"name":"2007 IEEE Biomedical Circuits and Systems Conference","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133936728","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 : 2007-11-01DOI: 10.1109/BIOCAS.2007.4463305
S. Mandal, R. Sarpeshkar
We describe a bidirectional impedance-modulation wireless data link for implanted neural prostheses. The link uses near-field inductive coupling between the implanted system and an external transceiver. It is designed to minimize power consumption in the implanted system and support high data rates in the uplink direction (from the implanted to the external system). Experimental results demonstrate data transfer rates up to 5.8 Mbps in the uplink direction and 300 kbps in the downlink direction at a link distance of 2 cm. The link dissipates 100 muW in the implanted system and 2.5 mW in the external system, making it among the most power-efficient inductive data links reported.
{"title":"A Bidirectional Wireless Link for Neural Prostheses that Minimizes Implanted Power Consumption","authors":"S. Mandal, R. Sarpeshkar","doi":"10.1109/BIOCAS.2007.4463305","DOIUrl":"https://doi.org/10.1109/BIOCAS.2007.4463305","url":null,"abstract":"We describe a bidirectional impedance-modulation wireless data link for implanted neural prostheses. The link uses near-field inductive coupling between the implanted system and an external transceiver. It is designed to minimize power consumption in the implanted system and support high data rates in the uplink direction (from the implanted to the external system). Experimental results demonstrate data transfer rates up to 5.8 Mbps in the uplink direction and 300 kbps in the downlink direction at a link distance of 2 cm. The link dissipates 100 muW in the implanted system and 2.5 mW in the external system, making it among the most power-efficient inductive data links reported.","PeriodicalId":273819,"journal":{"name":"2007 IEEE Biomedical Circuits and Systems Conference","volume":"239 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132922436","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 : 2007-11-01DOI: 10.1109/BIOCAS.2007.4463311
Hsi-Ping Wang, E. Chicca, G. Indiveri, T. Sejnowski
Spike-time based coding of neural information, in contrast to rate coding, requires that neurons reliably and precisely fire spikes in response to repeated identical inputs, despite a high degree of noise from stochastic synaptic firing and extraneous background inputs. We investigated the degree of reliability and precision achievable in various noisy background conditions using real-time neuromorphic VLSI hardware which models integrate-and-fire spiking neurons and dynamic synapses. To do so, we varied two properties of the inputs to a single neuron, synaptic weight and synchrony magnitude (number of synchronously firing pre-synaptic neurons). Thanks to the realtime response properties of the VLSI system we could carry out extensive exploration of the parameter space, and measure the neurons firing rate and reliability in real-time. Reliability of output spiking was primarily influenced by the amount of synchronicity of synaptic input, rather than the synaptic weight of those synapses. These results highlight possible regimes in which real-time neuromorphic systems might be better able to reliably compute with spikes despite noisy input.
{"title":"Reliable Computation in Noisy Backgrounds Using Real-Time Neuromorphic Hardware","authors":"Hsi-Ping Wang, E. Chicca, G. Indiveri, T. Sejnowski","doi":"10.1109/BIOCAS.2007.4463311","DOIUrl":"https://doi.org/10.1109/BIOCAS.2007.4463311","url":null,"abstract":"Spike-time based coding of neural information, in contrast to rate coding, requires that neurons reliably and precisely fire spikes in response to repeated identical inputs, despite a high degree of noise from stochastic synaptic firing and extraneous background inputs. We investigated the degree of reliability and precision achievable in various noisy background conditions using real-time neuromorphic VLSI hardware which models integrate-and-fire spiking neurons and dynamic synapses. To do so, we varied two properties of the inputs to a single neuron, synaptic weight and synchrony magnitude (number of synchronously firing pre-synaptic neurons). Thanks to the realtime response properties of the VLSI system we could carry out extensive exploration of the parameter space, and measure the neurons firing rate and reliability in real-time. Reliability of output spiking was primarily influenced by the amount of synchronicity of synaptic input, rather than the synaptic weight of those synapses. These results highlight possible regimes in which real-time neuromorphic systems might be better able to reliably compute with spikes despite noisy input.","PeriodicalId":273819,"journal":{"name":"2007 IEEE Biomedical Circuits and Systems Conference","volume":"89 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115944863","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 : 2007-11-01DOI: 10.1109/BIOCAS.2007.4463312
A. Cassidy, S. Denham, P. Kanold, A. Andreou
Rapid design time, low cost, flexibility, digital precision, and stability are characteristics that favor FPGAs as a promising alternative to analog VLSI based approaches for designing neuromorphic systems. High computational power as well as low size, weight, and power (SWAP) are advantages that FPGAs demonstrate over software based neuromorphic systems. We present an FPGA based array of Leaky-Integrate and Fire (LIF) artificial neurons. Using this array, we demonstrate three neural computational experiments: auditory Spatio-Temporal Receptive Fields (STRFs), a neural parameter optimizing algorithm, and an implementation of the Spike Time Dependant Plasticity (STDP) learning rule.
{"title":"FPGA Based Silicon Spiking Neural Array","authors":"A. Cassidy, S. Denham, P. Kanold, A. Andreou","doi":"10.1109/BIOCAS.2007.4463312","DOIUrl":"https://doi.org/10.1109/BIOCAS.2007.4463312","url":null,"abstract":"Rapid design time, low cost, flexibility, digital precision, and stability are characteristics that favor FPGAs as a promising alternative to analog VLSI based approaches for designing neuromorphic systems. High computational power as well as low size, weight, and power (SWAP) are advantages that FPGAs demonstrate over software based neuromorphic systems. We present an FPGA based array of Leaky-Integrate and Fire (LIF) artificial neurons. Using this array, we demonstrate three neural computational experiments: auditory Spatio-Temporal Receptive Fields (STRFs), a neural parameter optimizing algorithm, and an implementation of the Spike Time Dependant Plasticity (STDP) learning rule.","PeriodicalId":273819,"journal":{"name":"2007 IEEE Biomedical Circuits and Systems Conference","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116586258","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 : 2007-11-01DOI: 10.1109/BIOCAS.2007.4463328
F. Bitar, N. Madi, E. Ramly, M. Saghir, F. Karameh
Classifying the motion of the five fingers of the hand using non-invasive bio-signal readings from the forearm is still an unsolved research challenge. Its solution is relevant to hands-free remote control devices, on-stage live performances, consumer entertainment, the video game industry, and most importantly the design of hand prosthetics for amputees. This paper proposes a solution that uses the continuous wavelet transform (CWT) decompositions of electromyography (EMG) signals from the forearm muscles, and Support Vector Machines (SVM) classification. The resulting design is a low cost, low power and low complexity portable embedded system that is strapped to the arm, where it collects EMG signals, classifies them in real-time, and sends the resulting class labels via Bluetooth to a remote interface. These labels are then converted into musical instrument digital interface (MIDI) commands that can be used to control any MIDI-controllable device. While the design is still at the prototype stage at best, it provides a proof-of-concept of non-invasive finger motion classification solely based on EMG readings from the forearm muscles. Experimental simulation of the expected system achieved 91% accuracy.
{"title":"A Portable MIDI Controller Using EMG-Based Individual Finger Motion Classification","authors":"F. Bitar, N. Madi, E. Ramly, M. Saghir, F. Karameh","doi":"10.1109/BIOCAS.2007.4463328","DOIUrl":"https://doi.org/10.1109/BIOCAS.2007.4463328","url":null,"abstract":"Classifying the motion of the five fingers of the hand using non-invasive bio-signal readings from the forearm is still an unsolved research challenge. Its solution is relevant to hands-free remote control devices, on-stage live performances, consumer entertainment, the video game industry, and most importantly the design of hand prosthetics for amputees. This paper proposes a solution that uses the continuous wavelet transform (CWT) decompositions of electromyography (EMG) signals from the forearm muscles, and Support Vector Machines (SVM) classification. The resulting design is a low cost, low power and low complexity portable embedded system that is strapped to the arm, where it collects EMG signals, classifies them in real-time, and sends the resulting class labels via Bluetooth to a remote interface. These labels are then converted into musical instrument digital interface (MIDI) commands that can be used to control any MIDI-controllable device. While the design is still at the prototype stage at best, it provides a proof-of-concept of non-invasive finger motion classification solely based on EMG readings from the forearm muscles. Experimental simulation of the expected system achieved 91% accuracy.","PeriodicalId":273819,"journal":{"name":"2007 IEEE Biomedical Circuits and Systems Conference","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125581050","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 : 2007-11-01DOI: 10.1109/BIOCAS.2007.4463307
E. Staderini, G. Varotto
A general method is described to select an optimal set of parameters to design a pulse radar system [1] for heart motion detection [2,3]- Relating to the tracking of heart wall movement, the required acquisition time and sampling frequency are determined and subsequently pulse repetition frequency, pulse echo averaging and pulse power are obtained under regulatory mask power limitations defined for UWB emissions [4,5]. Although essentially theoretical and sometimes quite trivial, the reported model may be used as a reference for the parameters setting in the design of UWB radars for the acquisition of the temporal motion signal of internal body organs [6,7].
{"title":"Optimization criteria in the design of medical UWB radars in compliance with the regulatory masks","authors":"E. Staderini, G. Varotto","doi":"10.1109/BIOCAS.2007.4463307","DOIUrl":"https://doi.org/10.1109/BIOCAS.2007.4463307","url":null,"abstract":"A general method is described to select an optimal set of parameters to design a pulse radar system [1] for heart motion detection [2,3]- Relating to the tracking of heart wall movement, the required acquisition time and sampling frequency are determined and subsequently pulse repetition frequency, pulse echo averaging and pulse power are obtained under regulatory mask power limitations defined for UWB emissions [4,5]. Although essentially theoretical and sometimes quite trivial, the reported model may be used as a reference for the parameters setting in the design of UWB radars for the acquisition of the temporal motion signal of internal body organs [6,7].","PeriodicalId":273819,"journal":{"name":"2007 IEEE Biomedical Circuits and Systems Conference","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122203504","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}
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