A. Schwarz, J. Hakuzimana, P. Westbroek, L. Langenhove
Electro-conductive textiles are increasingly demanded in our today’s technology-driven world as they combine functionalities with high wearing comfort. Thus, they are, for instance, very suitable for being applied as electrodes integrated in clothing to measure biomedical parameters of a person. For this purpose they need to be modified to provide reliable electro-conductive properties. This can be achieved by depositing metals on the textile surface. Copper and gold are good materials to be used for this purpose because of their outstanding electro-conductive properties and possibility to deposit them in form of a thin layer on the surface of a fiber. In this work preference was given to copper. Hence, a thin layer of copper was deposited on synthetic yarns by means of an electroless deposition. This paper states the coating method for the copper deposition on para-aramide yarns. Further, it reports the first results on the characterization of the copper layer and the performance of the resulting yarns.
{"title":"How to Equip Para-aramide Yarns with Electro-conductive Properties","authors":"A. Schwarz, J. Hakuzimana, P. Westbroek, L. Langenhove","doi":"10.1109/BSN.2009.24","DOIUrl":"https://doi.org/10.1109/BSN.2009.24","url":null,"abstract":"Electro-conductive textiles are increasingly demanded in our today’s technology-driven world as they combine functionalities with high wearing comfort. Thus, they are, for instance, very suitable for being applied as electrodes integrated in clothing to measure biomedical parameters of a person. For this purpose they need to be modified to provide reliable electro-conductive properties. This can be achieved by depositing metals on the textile surface. Copper and gold are good materials to be used for this purpose because of their outstanding electro-conductive properties and possibility to deposit them in form of a thin layer on the surface of a fiber. In this work preference was given to copper. Hence, a thin layer of copper was deposited on synthetic yarns by means of an electroless deposition. This paper states the coating method for the copper deposition on para-aramide yarns. Further, it reports the first results on the characterization of the copper layer and the performance of the resulting yarns.","PeriodicalId":269861,"journal":{"name":"2009 Sixth International Workshop on Wearable and Implantable Body Sensor Networks","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2009-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131106693","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}
The assessment of Ground Reaction Forces (GRF) is important for gait analysis for sports, pathological gaits and rehabilitation. To capture GRF, force plates and foot pressure insoles are commonly used. Due to cost and portability issues, such systems are mostly limited to lab-based studies. Long-term, continuous and pervasive measurement of GRF is not feasible. This paper presents a novel concept of using an ear-worn sensor for pervasive gait analysis. By emulating the human vestibular system, the bio-inspired design sensor effectively captures the shock wave generated by the GRF. A hierarchical Bayesian network is developed to estimate the plantar force distribution from the ear sensor signals. The accuracy of the ear sensor for detecting GRF is demonstrated by comparing the results with a high-accuracy commercial foot pressure insole system.
{"title":"Bayesian Analysis of Sub-plantar Ground Reaction Force with BSN","authors":"Benny P. L. Lo, J. Pansiot, Guang-Zhong Yang","doi":"10.1109/BSN.2009.38","DOIUrl":"https://doi.org/10.1109/BSN.2009.38","url":null,"abstract":"The assessment of Ground Reaction Forces (GRF) is important for gait analysis for sports, pathological gaits and rehabilitation. To capture GRF, force plates and foot pressure insoles are commonly used. Due to cost and portability issues, such systems are mostly limited to lab-based studies. Long-term, continuous and pervasive measurement of GRF is not feasible. This paper presents a novel concept of using an ear-worn sensor for pervasive gait analysis. By emulating the human vestibular system, the bio-inspired design sensor effectively captures the shock wave generated by the GRF. A hierarchical Bayesian network is developed to estimate the plantar force distribution from the ear sensor signals. The accuracy of the ear sensor for detecting GRF is demonstrated by comparing the results with a high-accuracy commercial foot pressure insole system.","PeriodicalId":269861,"journal":{"name":"2009 Sixth International Workshop on Wearable and Implantable Body Sensor Networks","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2009-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124280277","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}
We have developed a wearable, battery-free tag that monitors heart sounds. The tag powers up by harvesting ambient RF energy, and contains a low-power integrated circuit, an antenna and up to four microphones. The chip, which consumes only 1.0uW of power, generates digital events when the outputs of any of the microphones exceeds a programmable threshold voltage, combines such events together by using a programmable logic array, and transmits them to a base station by using backscatter modulation. The chip can also be programmed to trade-off microphone sensitivity for power consumption. In this paper, we demonstrate that the tag, when attached to the chest, can reliably measure heart rate at distances up to 7m from an FCC-compliant RF power source. We also suggest how delays between signals measured by microphones at the wrist and neck can be used to provide information about relative blood-pressure variations.
{"title":"A Battery-Free Tag for Wireless Monitoring of Heart Sounds","authors":"S. Mandal, L. Turicchia, R. Sarpeshkar","doi":"10.1109/BSN.2009.11","DOIUrl":"https://doi.org/10.1109/BSN.2009.11","url":null,"abstract":"We have developed a wearable, battery-free tag that monitors heart sounds. The tag powers up by harvesting ambient RF energy, and contains a low-power integrated circuit, an antenna and up to four microphones. The chip, which consumes only 1.0uW of power, generates digital events when the outputs of any of the microphones exceeds a programmable threshold voltage, combines such events together by using a programmable logic array, and transmits them to a base station by using backscatter modulation. The chip can also be programmed to trade-off microphone sensitivity for power consumption. In this paper, we demonstrate that the tag, when attached to the chest, can reliably measure heart rate at distances up to 7m from an FCC-compliant RF power source. We also suggest how delays between signals measured by microphones at the wrist and neck can be used to provide information about relative blood-pressure variations.","PeriodicalId":269861,"journal":{"name":"2009 Sixth International Workshop on Wearable and Implantable Body Sensor Networks","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2009-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116014607","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}
Wireless systems that form a body-area network must be made small and low power without sacrificing performance. To achieve high-throughput communication in low-cost wireless body area networks, we propose a low complexity,“pulling” MAC protocol. Such a network architecture consists of low-complexity nodes and moderate complexity base stations, which act as clients to pull data from the nodes that act as thin servers. This organization achieves intra-network collision-free multiple access as in TDMA but without expensive time synchronization. It also achieves high utilization of air bandwidth and adaptivity of CSMA protocols but without collision or complexity on the node side. Experimental results show that our pulling protocol achieves better good channel utilization of up to 52.8% and high data throughput of up to 432Kbps. We also tested our MAC protocol on a wireless ECG system. Our MAC protocol can transmit ten simultaneous streams of data at 200 samples per second each from ten sensing devices.
{"title":"Low-Complexity, High-Throughput Multiple-Access Wireless Protocol for Body Sensor Networks","authors":"S. Yoo, Chong-Jing Chen, P. Chou","doi":"10.1109/BSN.2009.49","DOIUrl":"https://doi.org/10.1109/BSN.2009.49","url":null,"abstract":"Wireless systems that form a body-area network must be made small and low power without sacrificing performance. To achieve high-throughput communication in low-cost wireless body area networks, we propose a low complexity,“pulling” MAC protocol. Such a network architecture consists of low-complexity nodes and moderate complexity base stations, which act as clients to pull data from the nodes that act as thin servers. This organization achieves intra-network collision-free multiple access as in TDMA but without expensive time synchronization. It also achieves high utilization of air bandwidth and adaptivity of CSMA protocols but without collision or complexity on the node side. Experimental results show that our pulling protocol achieves better good channel utilization of up to 52.8% and high data throughput of up to 432Kbps. We also tested our MAC protocol on a wireless ECG system. Our MAC protocol can transmit ten simultaneous streams of data at 200 samples per second each from ten sensing devices.","PeriodicalId":269861,"journal":{"name":"2009 Sixth International Workshop on Wearable and Implantable Body Sensor Networks","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2009-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116118125","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}
Lujie Wang, Juan Zhang, Jianghong Huang, Liangwen Chen, Li Yu, Yuan-Ting Zhang, Guang-Zong Yang
Modern microelectronics technologies play important roles in body sensor networks (BSN). In this paper a field programmable analogue ASIC working on the discrete-time mode for biomedical signal filtering was presented. The ASIC we have developed incorporates a switched-capacitor based analogue module, a current source, a voltage source, an oscillator, and a double-phase non-overlapping clock source offering different clock rates. By alternating the circuit topologies and the clock frequencies for the on-chip switched-capacitors the ASIC could be dynamically configured as a high-pass filter or a low-pass filter with adjustable cut-off frequencies and pass-band gains. The ASIC was fabricated using the SMIC 0.18um CMOS technology with a die size of 1.0mm×1.2mm and the power consumption of approximately 1.1 mW. The ASIC was fully tested and the results indicated that the ASIC performed as desired. In the future an autonomous Field Programmable Analogue Array ASIC will be developed towards intelligent processing-on-node BSNs.
{"title":"A Field Programmable Analogue ASIC towards Low Power Processing-on-Node BSNs","authors":"Lujie Wang, Juan Zhang, Jianghong Huang, Liangwen Chen, Li Yu, Yuan-Ting Zhang, Guang-Zong Yang","doi":"10.1109/BSN.2009.55","DOIUrl":"https://doi.org/10.1109/BSN.2009.55","url":null,"abstract":"Modern microelectronics technologies play important roles in body sensor networks (BSN). In this paper a field programmable analogue ASIC working on the discrete-time mode for biomedical signal filtering was presented. The ASIC we have developed incorporates a switched-capacitor based analogue module, a current source, a voltage source, an oscillator, and a double-phase non-overlapping clock source offering different clock rates. By alternating the circuit topologies and the clock frequencies for the on-chip switched-capacitors the ASIC could be dynamically configured as a high-pass filter or a low-pass filter with adjustable cut-off frequencies and pass-band gains. The ASIC was fabricated using the SMIC 0.18um CMOS technology with a die size of 1.0mm×1.2mm and the power consumption of approximately 1.1 mW. The ASIC was fully tested and the results indicated that the ASIC performed as desired. In the future an autonomous Field Programmable Analogue Array ASIC will be developed towards intelligent processing-on-node BSNs.","PeriodicalId":269861,"journal":{"name":"2009 Sixth International Workshop on Wearable and Implantable Body Sensor Networks","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2009-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128438801","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}
We study the problem of noninvasively estimating Blood Pressure (BP) without using a cuff, which is attractive for continuous monitoring of BP over Body Area Networks. It has been shown that the Pulse Arrival Time (PAT) measured as the delay between the ECG peak and a point in the finger PPG waveform can be used to estimate systolic and diastolic BP. Our aim is to evaluate the performance of such a method using the available MIMIC database, while at the same time improve the performance of existing techniques. We propose an algorithm to estimate BP from a combination of PAT and heart rate, showing improvement over PAT alone. We also show how the method achieves recalibration using an RLS adaptive algorithm. Finally, we address the use case of ECG and PPG sensors wirelessly communicating to an aggregator and study the effect of skew and jitter on BP estimation.
{"title":"Noninvasive Cuffless Estimation of Blood Pressure from Pulse Arrival Time and Heart Rate with Adaptive Calibration","authors":"F. Cattivelli, H. Garudadri","doi":"10.1109/BSN.2009.35","DOIUrl":"https://doi.org/10.1109/BSN.2009.35","url":null,"abstract":"We study the problem of noninvasively estimating Blood Pressure (BP) without using a cuff, which is attractive for continuous monitoring of BP over Body Area Networks. It has been shown that the Pulse Arrival Time (PAT) measured as the delay between the ECG peak and a point in the finger PPG waveform can be used to estimate systolic and diastolic BP. Our aim is to evaluate the performance of such a method using the available MIMIC database, while at the same time improve the performance of existing techniques. We propose an algorithm to estimate BP from a combination of PAT and heart rate, showing improvement over PAT alone. We also show how the method achieves recalibration using an RLS adaptive algorithm. Finally, we address the use case of ECG and PPG sensors wirelessly communicating to an aggregator and study the effect of skew and jitter on BP estimation.","PeriodicalId":269861,"journal":{"name":"2009 Sixth International Workshop on Wearable and Implantable Body Sensor Networks","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2009-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125420746","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}
This paper presents a wheeze detection method that uses a distributed array of microphones and can be implemented as part of a wearable health monitoring system. In order to reduce the power consumption for the wearable system, the method has been developed to operate at a sampling rate of 1000Hz, instead of 8000Hz. In the design, we use two regular air conductive microphones and a bone conductive microphone to increase the accuracy of detection and make it robust against environmental noise. The two air-conductive microphones capture breathing sound while bone-conductive microphone is placed over the manubrium of the sternum in patients to record chest wall lung sound. The simulations are conducted using lung sounds from patients with wheezes and human subjects with no wheezes under different SNR conditions. The results show that the proposed method is robust against environmental noise and has good performance on wheeze detection. The approach has been implemented onto a PDA and tested with some real data.
{"title":"Detection of Wheezes Using a Wearable Distributed Array of Microphones","authors":"W. Ser, Tongtong Zhang, Jufeng Yu, Jianmin Zhang","doi":"10.1109/BSN.2009.18","DOIUrl":"https://doi.org/10.1109/BSN.2009.18","url":null,"abstract":"This paper presents a wheeze detection method that uses a distributed array of microphones and can be implemented as part of a wearable health monitoring system. In order to reduce the power consumption for the wearable system, the method has been developed to operate at a sampling rate of 1000Hz, instead of 8000Hz. In the design, we use two regular air conductive microphones and a bone conductive microphone to increase the accuracy of detection and make it robust against environmental noise. The two air-conductive microphones capture breathing sound while bone-conductive microphone is placed over the manubrium of the sternum in patients to record chest wall lung sound. The simulations are conducted using lung sounds from patients with wheezes and human subjects with no wheezes under different SNR conditions. The results show that the proposed method is robust against environmental noise and has good performance on wheeze detection. The approach has been implemented onto a PDA and tested with some real data.","PeriodicalId":269861,"journal":{"name":"2009 Sixth International Workshop on Wearable and Implantable Body Sensor Networks","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2009-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125938898","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}
M. H. Silveira, C. Nunn, A. Lakhanpal, D. McDonagh, R. McPartland, A. Burdett
A body-worn monitor termed the LifePebble has been developed for real-time measurement of ECG, heart rate, physical activity (3 axis accelerometer) and optionally skin temperature. The LifePebble incorporates the SensiumTM system-on-chip platform designed specifically for wireless body sensor networks, and achieves robust and reliable operation in a compact and lightweight form factor. An initial target application is described; the real-time measurement of energy expenditure, to encourage positive lifestyle changes for early stage type-2 diabetic patients. This paper describes issues encountered during the design of the LifePebble, particularly related to the ambulatory application environment, and describes techniques developed to ensure reliable operation under such conditions.
{"title":"Key Considerations and Experience Using the Ultra Low Power Sensium Platform in Body Sensor Networks","authors":"M. H. Silveira, C. Nunn, A. Lakhanpal, D. McDonagh, R. McPartland, A. Burdett","doi":"10.1109/BSN.2009.62","DOIUrl":"https://doi.org/10.1109/BSN.2009.62","url":null,"abstract":"A body-worn monitor termed the LifePebble has been developed for real-time measurement of ECG, heart rate, physical activity (3 axis accelerometer) and optionally skin temperature. The LifePebble incorporates the SensiumTM system-on-chip platform designed specifically for wireless body sensor networks, and achieves robust and reliable operation in a compact and lightweight form factor. An initial target application is described; the real-time measurement of energy expenditure, to encourage positive lifestyle changes for early stage type-2 diabetic patients. This paper describes issues encountered during the design of the LifePebble, particularly related to the ambulatory application environment, and describes techniques developed to ensure reliable operation under such conditions.","PeriodicalId":269861,"journal":{"name":"2009 Sixth International Workshop on Wearable and Implantable Body Sensor Networks","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2009-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114303300","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}
L. Atallah, O. Aziz, Benny P. L. Lo, Guang-Zhong Yang
This paper investigates an ear worn sensor for the development of a gait analysis framework. Instead of explicitly defining gait features that indicate injury or impairment, an automatic method of feature extraction and selection is proposed. The proposed framework uses multi-resolution wavelet analysis and margin based feature selection. It was validated on three datasets; the first simulating a leg injury, the second simulating abdominal impairment that could result from surgery or injury and the third is a dataset collected from a patient during recovery from leg injury. The method shows a clear distinction of gait between injured and normal walking. It also illustrates the fact that using source separation before pattern classification can significantly improve the proposed gait analysis framework.
{"title":"Detecting Walking Gait Impairment with an Ear-worn Sensor","authors":"L. Atallah, O. Aziz, Benny P. L. Lo, Guang-Zhong Yang","doi":"10.1109/BSN.2009.41","DOIUrl":"https://doi.org/10.1109/BSN.2009.41","url":null,"abstract":"This paper investigates an ear worn sensor for the development of a gait analysis framework. Instead of explicitly defining gait features that indicate injury or impairment, an automatic method of feature extraction and selection is proposed. The proposed framework uses multi-resolution wavelet analysis and margin based feature selection. It was validated on three datasets; the first simulating a leg injury, the second simulating abdominal impairment that could result from surgery or injury and the third is a dataset collected from a patient during recovery from leg injury. The method shows a clear distinction of gait between injured and normal walking. It also illustrates the fact that using source separation before pattern classification can significantly improve the proposed gait analysis framework.","PeriodicalId":269861,"journal":{"name":"2009 Sixth International Workshop on Wearable and Implantable Body Sensor Networks","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2009-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128084971","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}
B. Grundlehner, L. Brown, J. Penders, B. Gyselinckx
The recent development of miniaturized, low-power components for body sensor networks pave the way towards intelligent and ambulatory monitoring devices with a plurality of applications. Here, the design and development of a real-time arousal monitor, based on Human++ Body Area Network components is described. A new set of biomarkers is proposed based on psychophysiological observations and principles. A strong relation between the estimated arousal level and the expected arousal level is reported for responses triggered by movie clips, in a controlled environment. This relation is shown to extend to stimuli of a different nature, such as sounds and mental stress tests. The system will enable new applications in the field of stress management, safety, e-learning and gaming.
最近，用于人体传感器网络的小型化、低功耗组件的发展为具有多种应用的智能和动态监测设备铺平了道路。本文介绍了一种基于human++ Body Area Network组件的实时唤醒监视器的设计与开发。基于心理生理学的观察和原理，提出了一套新的生物标志物。据报道，在受控环境中，由电影片段引发的反应的估计唤醒水平和预期唤醒水平之间存在很强的关系。这种关系被证明可以扩展到不同性质的刺激，如声音和精神压力测试。该系统将在压力管理、安全、电子学习和游戏领域实现新的应用。
{"title":"The Design and Analysis of a Real-Time, Continuous Arousal Monitor","authors":"B. Grundlehner, L. Brown, J. Penders, B. Gyselinckx","doi":"10.1109/BSN.2009.21","DOIUrl":"https://doi.org/10.1109/BSN.2009.21","url":null,"abstract":"The recent development of miniaturized, low-power components for body sensor networks pave the way towards intelligent and ambulatory monitoring devices with a plurality of applications. Here, the design and development of a real-time arousal monitor, based on Human++ Body Area Network components is described. A new set of biomarkers is proposed based on psychophysiological observations and principles. A strong relation between the estimated arousal level and the expected arousal level is reported for responses triggered by movie clips, in a controlled environment. This relation is shown to extend to stimuli of a different nature, such as sounds and mental stress tests. The system will enable new applications in the field of stress management, safety, e-learning and gaming.","PeriodicalId":269861,"journal":{"name":"2009 Sixth International Workshop on Wearable and Implantable Body Sensor Networks","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2009-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125669092","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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