J. Ham, M. D. Cooman, Wim Claes, R. Puers, I. Naert, C. V. Lierde, J. Beckers
The continuous miniaturization of electronics and increasing knowledge of biological processes enable us to develop intelligent implantable systems to enhance the quality of life. One of such systems controls the passive stimulation of bone formation in a dental environment. By giving patient feedback in case of overload, one should be able to minimize rehabilitation period drastically. We developed an electronic dental prosthesis, incorporating an ASIC (application specific IC), power supply system and necessary sensors. The electronic components are incorporated into a custom designed dental framework. The system can communicate wirelessly with an external transceiver which enables a patient tailored approach. In situ calibration and threshold programming is performed before the dental prosthesis works as a completely autonomous device
{"title":"An autonomous smart dental prosthesis for fast rehabilitation","authors":"J. Ham, M. D. Cooman, Wim Claes, R. Puers, I. Naert, C. V. Lierde, J. Beckers","doi":"10.1109/BSN.2006.7","DOIUrl":"https://doi.org/10.1109/BSN.2006.7","url":null,"abstract":"The continuous miniaturization of electronics and increasing knowledge of biological processes enable us to develop intelligent implantable systems to enhance the quality of life. One of such systems controls the passive stimulation of bone formation in a dental environment. By giving patient feedback in case of overload, one should be able to minimize rehabilitation period drastically. We developed an electronic dental prosthesis, incorporating an ASIC (application specific IC), power supply system and necessary sensors. The electronic components are incorporated into a custom designed dental framework. The system can communicate wirelessly with an external transceiver which enables a patient tailored approach. In situ calibration and threshold programming is performed before the dental prosthesis works as a completely autonomous device","PeriodicalId":246227,"journal":{"name":"International Workshop on Wearable and Implantable Body Sensor Networks (BSN'06)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122951129","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}
Shyamal Patel, D. Sherrill, R. Hughes, T. Hester, T. Lie-Nemeth, P. Bonato, D. Standaert, N. Huggins
The aim of this study is to identify movement characteristics associated with motor fluctuations in patients with Parkinson's disease by relying on wearable sensors. Improved methods of assessing longitudinal changes in Parkinson's disease would enable optimization of treatment and maximization of patient function. We used eight accelerometers on the upper and lower limbs to monitor patients while they performed a set of standardized motor tasks. A video of the subjects was used by an expert to assign clinical scores. We focused on a motor complication referred to as dyskinesia, which is observed in association with medication intake. The sensor data were processed to extract a feature set responsive to the motor fluctuations. To assess the ability of accelerometers to capture the motor fluctuation patterns, the feature space was visualized using PCA and Sammon's mapping. Clustering analysis revealed the existence of intermediate clusters that were observed when changes occurred in the severity of dyskinesia. We present quantitative evidence that these intermediate clusters are the result of the high sensitivity of the proposed technique to changes in the severity of dyskinesia observed during motor fluctuation cycles
{"title":"Analysis of the severity of dyskinesia in patients with Parkinson's disease via wearable sensors","authors":"Shyamal Patel, D. Sherrill, R. Hughes, T. Hester, T. Lie-Nemeth, P. Bonato, D. Standaert, N. Huggins","doi":"10.1109/BSN.2006.10","DOIUrl":"https://doi.org/10.1109/BSN.2006.10","url":null,"abstract":"The aim of this study is to identify movement characteristics associated with motor fluctuations in patients with Parkinson's disease by relying on wearable sensors. Improved methods of assessing longitudinal changes in Parkinson's disease would enable optimization of treatment and maximization of patient function. We used eight accelerometers on the upper and lower limbs to monitor patients while they performed a set of standardized motor tasks. A video of the subjects was used by an expert to assign clinical scores. We focused on a motor complication referred to as dyskinesia, which is observed in association with medication intake. The sensor data were processed to extract a feature set responsive to the motor fluctuations. To assess the ability of accelerometers to capture the motor fluctuation patterns, the feature space was visualized using PCA and Sammon's mapping. Clustering analysis revealed the existence of intermediate clusters that were observed when changes occurred in the severity of dyskinesia. We present quantitative evidence that these intermediate clusters are the result of the high sensitivity of the proposed technique to changes in the severity of dyskinesia observed during motor fluctuation cycles","PeriodicalId":246227,"journal":{"name":"International Workshop on Wearable and Implantable Body Sensor Networks (BSN'06)","volume":"147 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124708397","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}
J. Luprano, J. Solà, S. Dasen, J. Koller, O. Chételat
Smart clothes increase the efficiency of long-term non-invasive monitoring systems by facilitating the placement of sensors and increasing the number of measurement locations. Since the sensors are either garment-integrated or embedded in an unobtrusive way in the garment, the impact on the subject's comfort is minimized. However, the main challenge of smart clothing lies in the enhancement of signal quality and the management of the huge data volume resulting from the variable contact with the skin, movement artifacts, non-accurate location of sensors and the large number of acquired signals. This paper exposes the strategies and solutions adopted in the European 1ST project MyHeart to address these problems, from the definition of the body sensor network to the description of two embedded signal processing techniques performing on-body ECG enhancement and motion activity classification
{"title":"Combination of body sensor networks and on-body signal processing algorithms: the practical case of MyHeart project","authors":"J. Luprano, J. Solà, S. Dasen, J. Koller, O. Chételat","doi":"10.1109/BSN.2006.15","DOIUrl":"https://doi.org/10.1109/BSN.2006.15","url":null,"abstract":"Smart clothes increase the efficiency of long-term non-invasive monitoring systems by facilitating the placement of sensors and increasing the number of measurement locations. Since the sensors are either garment-integrated or embedded in an unobtrusive way in the garment, the impact on the subject's comfort is minimized. However, the main challenge of smart clothing lies in the enhancement of signal quality and the management of the huge data volume resulting from the variable contact with the skin, movement artifacts, non-accurate location of sensors and the large number of acquired signals. This paper exposes the strategies and solutions adopted in the European 1ST project MyHeart to address these problems, from the definition of the body sensor network to the description of two embedded signal processing techniques performing on-body ECG enhancement and motion activity classification","PeriodicalId":246227,"journal":{"name":"International Workshop on Wearable and Implantable Body Sensor Networks (BSN'06)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132294691","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}
Joseph D. Gong, Gary Jensen, Ashwinkumar A. Bhirde, Xin-Ning Yu, B. Munge, Voymesh Patel, J. Gutkind, J. Rusling, SangNyon Kim, F. Papadimitrakopoulos
Prostate specific antigen (PSA) is a major biomarker used clinically in the detection of prostate cancer. Current commercial immunoassays for detection of this biomarker rely on spectroscopic absorbance and electro-chemiluminescence which are able to detect as low as 0.03 ng/mL of PSA within 100muL of serum. In this paper, a novel amplified electrochemical technique for detection of prostate specific antigen is described. This electrochemical approach is a highly sensitive method that can have detection limit of 0.004 ng/mL in only 10 mL of serum, a mass detection limit 75 times lower than current commercial techniques. This highly sensitive, low cost and fast detection method not only allows for detection of cancer biomarkers in serum, but also in tissue and cells. Moreover, immunoassay arrays based on this methodology will be highly promising for application in large-scale clinical screening and point-of-care diagnostics. Characterization of the anti-PSA amplification tag in this amplification system using TEM, AFM, SEM, and CE is also described
{"title":"Single-walled carbon-nanotube forest immunosensor for amplified detection of cancer biomarkers","authors":"Joseph D. Gong, Gary Jensen, Ashwinkumar A. Bhirde, Xin-Ning Yu, B. Munge, Voymesh Patel, J. Gutkind, J. Rusling, SangNyon Kim, F. Papadimitrakopoulos","doi":"10.1109/BSN.2006.50","DOIUrl":"https://doi.org/10.1109/BSN.2006.50","url":null,"abstract":"Prostate specific antigen (PSA) is a major biomarker used clinically in the detection of prostate cancer. Current commercial immunoassays for detection of this biomarker rely on spectroscopic absorbance and electro-chemiluminescence which are able to detect as low as 0.03 ng/mL of PSA within 100muL of serum. In this paper, a novel amplified electrochemical technique for detection of prostate specific antigen is described. This electrochemical approach is a highly sensitive method that can have detection limit of 0.004 ng/mL in only 10 mL of serum, a mass detection limit 75 times lower than current commercial techniques. This highly sensitive, low cost and fast detection method not only allows for detection of cancer biomarkers in serum, but also in tissue and cells. Moreover, immunoassay arrays based on this methodology will be highly promising for application in large-scale clinical screening and point-of-care diagnostics. Characterization of the anti-PSA amplification tag in this amplification system using TEM, AFM, SEM, and CE is also described","PeriodicalId":246227,"journal":{"name":"International Workshop on Wearable and Implantable Body Sensor Networks (BSN'06)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132790626","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 discusses the path loss between two half-wavelength dipoles near flat, biological tissue at 2.4 GHz. Both homogeneous and layered media are investigated. The influence of the antenna height and the thickness of the layers are characterized and identified as important factors for the determination of the path loss. Measurements and simulations are performed to validate the results
{"title":"Characterization of the path loss near flat and layered biological tissue for narrowband wireless body area networks","authors":"L. Roelens, W. Joseph, L. Martens","doi":"10.1109/BSN.2006.14","DOIUrl":"https://doi.org/10.1109/BSN.2006.14","url":null,"abstract":"This paper discusses the path loss between two half-wavelength dipoles near flat, biological tissue at 2.4 GHz. Both homogeneous and layered media are investigated. The influence of the antenna height and the thickness of the layers are characterized and identified as important factors for the determination of the path loss. Measurements and simulations are performed to validate the results","PeriodicalId":246227,"journal":{"name":"International Workshop on Wearable and Implantable Body Sensor Networks (BSN'06)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121400539","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}
Extracting energy from motion and vibration is an attractive route to powering wireless sensors, and MEMS (microelectromechanical systems) technology is well suited to miniaturizing such generators. Most reported MEMS motion-driven scavengers use linear displacement, and have very restricted output power. Here two alternatives are proposed and analyzed: resonant rotating generators, in which the angular amplitude of the proof mass is greater than that of the source motion, and gyroscopic scavengers, in which the proof mass is actively spun or vibrated. By avoiding, respectively, the linear displacement limit and the limited mass of conventional devices, it is shown that large increases in obtainable power are possible, particularly if parasitic damping is minimized
{"title":"Rotating and gyroscopic MEMS energy scavenging","authors":"E. Yeatman","doi":"10.1109/BSN.2006.46","DOIUrl":"https://doi.org/10.1109/BSN.2006.46","url":null,"abstract":"Extracting energy from motion and vibration is an attractive route to powering wireless sensors, and MEMS (microelectromechanical systems) technology is well suited to miniaturizing such generators. Most reported MEMS motion-driven scavengers use linear displacement, and have very restricted output power. Here two alternatives are proposed and analyzed: resonant rotating generators, in which the angular amplitude of the proof mass is greater than that of the source motion, and gyroscopic scavengers, in which the proof mass is actively spun or vibrated. By avoiding, respectively, the linear displacement limit and the limited mass of conventional devices, it is shown that large increases in obtainable power are possible, particularly if parasitic damping is minimized","PeriodicalId":246227,"journal":{"name":"International Workshop on Wearable and Implantable Body Sensor Networks (BSN'06)","volume":"66 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125155643","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}
Uwe Maurer, A. Smailagic, D. Siewiorek, M. Deisher
The design of an activity recognition and monitoring system based on the eWatch, multi-sensor platform worn on different body positions, is presented in this paper. The system identifies the user's activity in realtime using multiple sensors and records the classification results during a day. We compare multiple time domain feature sets and sampling rates, and analyze the tradeoff between recognition accuracy and computational complexity. The classification accuracy on different body positions used for wearing electronic devices was evaluated
{"title":"Activity recognition and monitoring using multiple sensors on different body positions","authors":"Uwe Maurer, A. Smailagic, D. Siewiorek, M. Deisher","doi":"10.1109/BSN.2006.6","DOIUrl":"https://doi.org/10.1109/BSN.2006.6","url":null,"abstract":"The design of an activity recognition and monitoring system based on the eWatch, multi-sensor platform worn on different body positions, is presented in this paper. The system identifies the user's activity in realtime using multiple sensors and records the classification results during a day. We compare multiple time domain feature sets and sampling rates, and analyze the tradeoff between recognition accuracy and computational complexity. The classification accuracy on different body positions used for wearing electronic devices was evaluated","PeriodicalId":246227,"journal":{"name":"International Workshop on Wearable and Implantable Body Sensor Networks (BSN'06)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129390019","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}
Eco is a self-contained, ultra-wearable and expandable wireless sensor platform under 1cm3. Previous platforms make trade-offs between size or expandability. Eco achieves both with a novel flex-PCB expansion connector for digital/analog I/O, firmware programming, and battery charging. It can be folded up without obstruction or clipped off if expandability is no longer needed. Only 15% the volume of MICA2D0T, Eco has the same size as the nonexpandable muPart node but with several times more memory, processing and communication speeds. A separate data aggregator and a development/base-station board enable Eco nodes to form a high-performance body sensor network for pre-term infant monitoring and interactive dance
{"title":"Eco: ultra-wearable and expandable wireless sensor platform","authors":"Chulsung Park, P. Chou","doi":"10.1109/BSN.2006.21","DOIUrl":"https://doi.org/10.1109/BSN.2006.21","url":null,"abstract":"Eco is a self-contained, ultra-wearable and expandable wireless sensor platform under 1cm3. Previous platforms make trade-offs between size or expandability. Eco achieves both with a novel flex-PCB expansion connector for digital/analog I/O, firmware programming, and battery charging. It can be folded up without obstruction or clipped off if expandability is no longer needed. Only 15% the volume of MICA2D0T, Eco has the same size as the nonexpandable muPart node but with several times more memory, processing and communication speeds. A separate data aggregator and a development/base-station board enable Eco nodes to form a high-performance body sensor network for pre-term infant monitoring and interactive dance","PeriodicalId":246227,"journal":{"name":"International Workshop on Wearable and Implantable Body Sensor Networks (BSN'06)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130488717","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}
Summary form only given. The WASP project aims at the development of an execution and development environment from which many applications for body sensor networks can profit. Today it is impossible to say how general such an environment can be. It is also impossible to say how many different applications can profit from the same environment. The talk presents some of the issues that need to be investigated in more detail before such questions can be answered
{"title":"Configurable sensor nodes","authors":"P. V. D. Stok","doi":"10.1109/BSN.2006.35","DOIUrl":"https://doi.org/10.1109/BSN.2006.35","url":null,"abstract":"Summary form only given. The WASP project aims at the development of an execution and development environment from which many applications for body sensor networks can profit. Today it is impossible to say how general such an environment can be. It is also impossible to say how many different applications can profit from the same environment. The talk presents some of the issues that need to be investigated in more detail before such questions can be answered","PeriodicalId":246227,"journal":{"name":"International Workshop on Wearable and Implantable Body Sensor Networks (BSN'06)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127532050","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}
Context-aware sensing is an integral part of the body sensor network (BSN) design and it allows the understanding of intrinsic characteristics of the sensed signal and determination of how BSNs should react to different events and adapt its monitoring behaviour. The purpose of this paper is to propose a novel spatio-temporal self-organising map that minimises the number of neurons involved whilst maintaining a high accuracy in class separation for both static and dynamic activities
{"title":"A spatio-temporal architecture for context aware sensing","authors":"S. Thiemjarus, Benny P. L. Lo, Guang-Zhong Yang","doi":"10.1109/BSN.2006.5","DOIUrl":"https://doi.org/10.1109/BSN.2006.5","url":null,"abstract":"Context-aware sensing is an integral part of the body sensor network (BSN) design and it allows the understanding of intrinsic characteristics of the sensed signal and determination of how BSNs should react to different events and adapt its monitoring behaviour. The purpose of this paper is to propose a novel spatio-temporal self-organising map that minimises the number of neurons involved whilst maintaining a high accuracy in class separation for both static and dynamic activities","PeriodicalId":246227,"journal":{"name":"International Workshop on Wearable and Implantable Body Sensor Networks (BSN'06)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122992829","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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