S. Weyer, Lisa Röthlingshöfer, M. Walter, S. Leonhardt, R. Bensberg
This study investigates the feasibility of using bioelectrical impedance measurements to detect the body fluid status. The multi-frequency impedance measurements were performed in combination with an animal experiment with five female pigs. For this purpose, the fluid balances of these animals, which were connected to an extracorporeal membrane oxygenation, were recorded. The ECMO circuit needs a high blood flow from the venous system and in order to avoid vasoconstriction in the femoral vein, blood-thinning infusions were injected. The quantity of injected fluid and the quantity of urine were recorded to monitor the fluid balance of each animal. These balances were compared with the intracellular and extra cellular tissue resistance, which was measured by bioelectrical-impedance spectroscopy. The experimental results strongly support the clinical benefit of the BIS for the assessment of changes in the hydration status.
{"title":"Evaluation of Bioimpedance Spectroscopy for the Monitoring of the Fluid Status in an Animal Model","authors":"S. Weyer, Lisa Röthlingshöfer, M. Walter, S. Leonhardt, R. Bensberg","doi":"10.1109/BSN.2012.25","DOIUrl":"https://doi.org/10.1109/BSN.2012.25","url":null,"abstract":"This study investigates the feasibility of using bioelectrical impedance measurements to detect the body fluid status. The multi-frequency impedance measurements were performed in combination with an animal experiment with five female pigs. For this purpose, the fluid balances of these animals, which were connected to an extracorporeal membrane oxygenation, were recorded. The ECMO circuit needs a high blood flow from the venous system and in order to avoid vasoconstriction in the femoral vein, blood-thinning infusions were injected. The quantity of injected fluid and the quantity of urine were recorded to monitor the fluid balance of each animal. These balances were compared with the intracellular and extra cellular tissue resistance, which was measured by bioelectrical-impedance spectroscopy. The experimental results strongly support the clinical benefit of the BIS for the assessment of changes in the hydration status.","PeriodicalId":101720,"journal":{"name":"2012 Ninth International Conference on Wearable and Implantable Body Sensor Networks","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125121088","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}
ECG analysis is universal and important in miscellaneous medical applications. However, high computation complexity is a problem which has been shown in several levels of conventional data mining algorithms for ECG analysis. In this paper, we presented a novel manifold approach to visualize and analyze the ECG signal. According to regularity of the data, our algorithm can discover the intrinsic structure and represent the streaming data with a 1-D manifold on a 2-D space. Furthermore, the proposed algorithm can reliably detect the anomaly in ECG streaming data. We evaluated the performance of the algorithm with two different anomalies in wearable applications: for the anomaly from heart disorders such as apnea, arrythmia, our algorithm could achieve up to 90% recognition rate, for the anomaly from the ECG device, our algorithm could detect the outlier with 100%.
{"title":"Dimensionality Reduction for Anomaly Detection in Electrocardiography: A Manifold Approach","authors":"Zhinan Li, Wenyao Xu, A. Huang, M. Sarrafzadeh","doi":"10.1109/BSN.2012.12","DOIUrl":"https://doi.org/10.1109/BSN.2012.12","url":null,"abstract":"ECG analysis is universal and important in miscellaneous medical applications. However, high computation complexity is a problem which has been shown in several levels of conventional data mining algorithms for ECG analysis. In this paper, we presented a novel manifold approach to visualize and analyze the ECG signal. According to regularity of the data, our algorithm can discover the intrinsic structure and represent the streaming data with a 1-D manifold on a 2-D space. Furthermore, the proposed algorithm can reliably detect the anomaly in ECG streaming data. We evaluated the performance of the algorithm with two different anomalies in wearable applications: for the anomaly from heart disorders such as apnea, arrythmia, our algorithm could achieve up to 90% recognition rate, for the anomaly from the ECG device, our algorithm could detect the outlier with 100%.","PeriodicalId":101720,"journal":{"name":"2012 Ninth International Conference on Wearable and Implantable Body Sensor Networks","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125153436","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}
Smita S. Pochappan, D. Arvind, Jennifer Walsh, A. Richardson, J. Herman
This paper explores the use of Orient specks as on-body network of wireless inertial-magnetic sensors to capture the parameters of the human gait for mobile clinical gait analysis. A range of kinematic and temporal parameters were measured for normal humans using Orient specks and compared to values obtained from a commercial Vicon optical motion capture system. There was a good correlation between the joint angle data from the two systems, most notably in the sagittal plane. Hip flexion graphs showed the highest correlation value of 0.973, with knee flexion at 0.855 and pelvic rotation at 0.943, followed by pelvic obliquity at 0.689 and ankle flexion at 0.626. We conclude that the Orient specks have the potential for obtaining gait parameters outside the laboratory environment by measuring temporal parameters, and detecting the shape and trend of kinematic parameters of the patients when they are out and about during their everyday lives.
{"title":"Mobile Clinical Gait Analysis Using Orient Specks","authors":"Smita S. Pochappan, D. Arvind, Jennifer Walsh, A. Richardson, J. Herman","doi":"10.1109/BSN.2012.34","DOIUrl":"https://doi.org/10.1109/BSN.2012.34","url":null,"abstract":"This paper explores the use of Orient specks as on-body network of wireless inertial-magnetic sensors to capture the parameters of the human gait for mobile clinical gait analysis. A range of kinematic and temporal parameters were measured for normal humans using Orient specks and compared to values obtained from a commercial Vicon optical motion capture system. There was a good correlation between the joint angle data from the two systems, most notably in the sagittal plane. Hip flexion graphs showed the highest correlation value of 0.973, with knee flexion at 0.855 and pelvic rotation at 0.943, followed by pelvic obliquity at 0.689 and ankle flexion at 0.626. We conclude that the Orient specks have the potential for obtaining gait parameters outside the laboratory environment by measuring temporal parameters, and detecting the shape and trend of kinematic parameters of the patients when they are out and about during their everyday lives.","PeriodicalId":101720,"journal":{"name":"2012 Ninth International Conference on Wearable and Implantable Body Sensor Networks","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114261317","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 new design of a wireless sensor glove developed for American Sign Language finger spelling gesture recognition. Five contact sensors are installed on the glove, in addition to five flex sensors on the fingers and a 3D accelerometer on the back of the hand. Each pair of flex and contact sensors are combined into the same input channel on the BSN node in order to save the number of channels and the installation area. After which, the signal is analyzed and separated back into flex and contact features by software. With electrical contacts and wirings made of conductive fabric and threads, the glove design has become thinner and more flexible. For validation, ASL finger spelling gesture recognition experiments have been performed on signals collected from six speech-impaired subjects and a normal subject. With the new sensor glove design, the experimental results have shown a significant increase in classification accuracy.
{"title":"Design of an Assistive Communication Glove Using Combined Sensory Channels","authors":"Netchanok Tanyawiwat, S. Thiemjarus","doi":"10.1109/BSN.2012.17","DOIUrl":"https://doi.org/10.1109/BSN.2012.17","url":null,"abstract":"This paper presents a new design of a wireless sensor glove developed for American Sign Language finger spelling gesture recognition. Five contact sensors are installed on the glove, in addition to five flex sensors on the fingers and a 3D accelerometer on the back of the hand. Each pair of flex and contact sensors are combined into the same input channel on the BSN node in order to save the number of channels and the installation area. After which, the signal is analyzed and separated back into flex and contact features by software. With electrical contacts and wirings made of conductive fabric and threads, the glove design has become thinner and more flexible. For validation, ASL finger spelling gesture recognition experiments have been performed on signals collected from six speech-impaired subjects and a normal subject. With the new sensor glove design, the experimental results have shown a significant increase in classification accuracy.","PeriodicalId":101720,"journal":{"name":"2012 Ninth International Conference on Wearable and Implantable Body Sensor Networks","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124462056","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}
A pair of low-power wireless sensor nodes, operating in the 2.45 GHz ISM band, are used to record the radio propagation of a particular on-body channel, the waist-chest channel. The recorded time-sampled radio link data is analysed in the frequency domain. It is shown that the wave propagation along the human body's surface embeds not only the radio channel characteristics, but also physiological features.
{"title":"Physiological Features from an On-Body Radio Propagation Channel","authors":"M. Munoz, R. Foster, Y. Hao","doi":"10.1109/BSN.2012.29","DOIUrl":"https://doi.org/10.1109/BSN.2012.29","url":null,"abstract":"A pair of low-power wireless sensor nodes, operating in the 2.45 GHz ISM band, are used to record the radio propagation of a particular on-body channel, the waist-chest channel. The recorded time-sampled radio link data is analysed in the frequency domain. It is shown that the wave propagation along the human body's surface embeds not only the radio channel characteristics, but also physiological features.","PeriodicalId":101720,"journal":{"name":"2012 Ninth International Conference on Wearable and Implantable Body Sensor Networks","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129160616","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}
A rotational energy harvester for human body applications is presented in this paper. An oscillating mass, similar to those found in wristwatches is used as a proof mass to act on a piezoelectric impulse excited transduction mechanism that is particularly well suited for these low-frequency, non-harmonic vibrations. The electromechanical coupling is enhanced by letting a piezoelectric beam vibrate at its natural frequency after an initial excitation. The plucking of the beam is achieved by a completely contact less magnetic coupling, beneficial for the longevity of the device. The potential advantages of rotary harvesters are discussed and a first design is introduced. The measurement results demonstrate the successful implementation and make it possible to investigate the influence of different factors on the power output. At a frequency of 2 Hz a maximal power of 2.6 microwatt was achieved when tested on a rocking table.
{"title":"Piezoelectric Rotational Energy Harvester for Body Sensors Using an Oscillating Mass","authors":"P. Pillatsch, E. Yeatman, A. Holmes","doi":"10.1109/BSN.2012.22","DOIUrl":"https://doi.org/10.1109/BSN.2012.22","url":null,"abstract":"A rotational energy harvester for human body applications is presented in this paper. An oscillating mass, similar to those found in wristwatches is used as a proof mass to act on a piezoelectric impulse excited transduction mechanism that is particularly well suited for these low-frequency, non-harmonic vibrations. The electromechanical coupling is enhanced by letting a piezoelectric beam vibrate at its natural frequency after an initial excitation. The plucking of the beam is achieved by a completely contact less magnetic coupling, beneficial for the longevity of the device. The potential advantages of rotary harvesters are discussed and a first design is introduced. The measurement results demonstrate the successful implementation and make it possible to investigate the influence of different factors on the power output. At a frequency of 2 Hz a maximal power of 2.6 microwatt was achieved when tested on a rocking table.","PeriodicalId":101720,"journal":{"name":"2012 Ninth International Conference on Wearable and Implantable Body Sensor Networks","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130255021","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}
Implementing requirements verified body worn medical sensors and smart phones, acting as base stations, in Body Sensor Networks (BSNs), is of extreme importance for development of reliable pervasive health monitoring systems (PHMS). Models of BSNs have been used to analyze designs with respect to requirements such as energy consumption, lifetime, and network reliability under dynamic context changes due to user mobility. This paper proposes Health-Dev that takes a high level specification of requirements verified BSN design and automatically generates both the sensor and smart phone code. Case studies related to energy efficiency and mobility aware network reliability show whether the resulting implementation satisfies the requirements set forth in the design phase.
{"title":"Health-Dev: Model Based Development Pervasive Health Monitoring Systems","authors":"Ayan Banerjee, Sunit Verma, P. Bagade, S. Gupta","doi":"10.1109/BSN.2012.33","DOIUrl":"https://doi.org/10.1109/BSN.2012.33","url":null,"abstract":"Implementing requirements verified body worn medical sensors and smart phones, acting as base stations, in Body Sensor Networks (BSNs), is of extreme importance for development of reliable pervasive health monitoring systems (PHMS). Models of BSNs have been used to analyze designs with respect to requirements such as energy consumption, lifetime, and network reliability under dynamic context changes due to user mobility. This paper proposes Health-Dev that takes a high level specification of requirements verified BSN design and automatically generates both the sensor and smart phone code. Case studies related to energy efficiency and mobility aware network reliability show whether the resulting implementation satisfies the requirements set forth in the design phase.","PeriodicalId":101720,"journal":{"name":"2012 Ninth International Conference on Wearable and Implantable Body Sensor Networks","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134398720","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 describes a new method to implement ultra-low frequency analog filters for electrophysiological signal acquisitions. Unlike the traditional pseudo-resistor or trans conductor-capacitor architectures, the proposed continues time filters employed current steering integrators which help decrease the capacitor area and reducing the total harmonic distorting (THD) simultaneously. Three basic structures (high pass, notch and low pass filters) were designed by proposing this technique and were implemented by 0.18 μm CMOS technology. Measurement results showed that the-3 dB of the low pass and high pass filters were 220 Hz and 0.05 Hz and notch frequency center of notch filter 50 Hz. Besides, the three filters' THD were measured to be-76 dB, -76 dB and -80 dB which are the lowest values with the comparison with other state-of-the-arts.
{"title":"A New Technique to Implement Ultra-low Frequency Analog Filters for Electrophysiological Signal Acquisitions","authors":"Haixi Li, Jing-yi Zhang, Lei Wang","doi":"10.1109/BSN.2012.20","DOIUrl":"https://doi.org/10.1109/BSN.2012.20","url":null,"abstract":"This paper describes a new method to implement ultra-low frequency analog filters for electrophysiological signal acquisitions. Unlike the traditional pseudo-resistor or trans conductor-capacitor architectures, the proposed continues time filters employed current steering integrators which help decrease the capacitor area and reducing the total harmonic distorting (THD) simultaneously. Three basic structures (high pass, notch and low pass filters) were designed by proposing this technique and were implemented by 0.18 μm CMOS technology. Measurement results showed that the-3 dB of the low pass and high pass filters were 220 Hz and 0.05 Hz and notch frequency center of notch filter 50 Hz. Besides, the three filters' THD were measured to be-76 dB, -76 dB and -80 dB which are the lowest values with the comparison with other state-of-the-arts.","PeriodicalId":101720,"journal":{"name":"2012 Ninth International Conference on Wearable and Implantable Body Sensor Networks","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127390542","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 Wolf Motor Function Test (WMFT), which involves real time timing measurements, is used to define the functional ability of the paretic limb of post stroke patients. The accuracy and consistency of the timing results are crucial for scoring, while manual stopwatch measuring introduces mistakes and uncertainty. A technique which uses camera and sensors to automate the test and achieve accurate results is proposed here. This system measures time for seven tasks with a monitor camera and a Xilinx Virtex II Pro Field Programmable Gate Array (FPGA). The FPGA was mainly chosen for its better performance compared to general purpose System on Chip (SoC) for computational intensive tasks, such as image processing in this system. The accuracy of the system has been validated in a user study on selected WMFT tasks with ground truth time measurement obtained from pressure sensors. Suggestions are also given on how the framework can be adapted to the remaining tasks.
Wolf运动功能测试(Wolf Motor Function Test, WMFT)是一种涉及实时计时测量的方法，用于确定脑卒中后患者的肢体功能能力。计时结果的准确性和一致性对计分至关重要，而手动秒表测量会带来错误和不确定性。本文提出了一种利用相机和传感器实现测试自动化并获得准确结果的技术。该系统通过监控摄像头和Xilinx Virtex II Pro现场可编程门阵列(FPGA)测量七个任务的时间。选择FPGA的主要原因是在处理图像处理等计算密集型任务时，其性能优于通用的片上系统(SoC)。该系统的准确性已在选定的WMFT任务的用户研究中得到验证，该任务使用压力传感器获得的地面真值时间测量。还就如何使框架适应其余任务给出了建议。
{"title":"Automated Wolf Motor Function Test (WMFT) for Upper Extremities Rehabilitation","authors":"Yiran Huang, Mahsan Rofouei, M. Sarrafzadeh","doi":"10.1109/BSN.2012.27","DOIUrl":"https://doi.org/10.1109/BSN.2012.27","url":null,"abstract":"The Wolf Motor Function Test (WMFT), which involves real time timing measurements, is used to define the functional ability of the paretic limb of post stroke patients. The accuracy and consistency of the timing results are crucial for scoring, while manual stopwatch measuring introduces mistakes and uncertainty. A technique which uses camera and sensors to automate the test and achieve accurate results is proposed here. This system measures time for seven tasks with a monitor camera and a Xilinx Virtex II Pro Field Programmable Gate Array (FPGA). The FPGA was mainly chosen for its better performance compared to general purpose System on Chip (SoC) for computational intensive tasks, such as image processing in this system. The accuracy of the system has been validated in a user study on selected WMFT tasks with ground truth time measurement obtained from pressure sensors. Suggestions are also given on how the framework can be adapted to the remaining tasks.","PeriodicalId":101720,"journal":{"name":"2012 Ninth International Conference on Wearable and Implantable Body Sensor Networks","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126831706","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}
Human activity recognition using wearable body sensors is playing a significant role in ubiquitous and mobile computing. One of the issues related to this wearable technology is that the captured activity signals are highly dependent on the location where the sensors are worn on the human body. Existing research work either extracts location information from certain activity signals or takes advantage of the sensor location information as a priori to achieve better activity recognition performance. In this paper, we present a compressed sensing-based approach to co-recognize human activity and sensor location in a single framework. To validate the effectiveness of our approach, we did a pilot study for the task of recognizing 14 human activities and 7 on body-locations. On average, our approach achieves an 87:72% classification accuracy (the mean of precision and recall).
{"title":"Co-recognition of Human Activity and Sensor Location via Compressed Sensing in Wearable Body Sensor Networks","authors":"Wenyao Xu, Mi Zhang, A. Sawchuk, M. Sarrafzadeh","doi":"10.1109/BSN.2012.14","DOIUrl":"https://doi.org/10.1109/BSN.2012.14","url":null,"abstract":"Human activity recognition using wearable body sensors is playing a significant role in ubiquitous and mobile computing. One of the issues related to this wearable technology is that the captured activity signals are highly dependent on the location where the sensors are worn on the human body. Existing research work either extracts location information from certain activity signals or takes advantage of the sensor location information as a priori to achieve better activity recognition performance. In this paper, we present a compressed sensing-based approach to co-recognize human activity and sensor location in a single framework. To validate the effectiveness of our approach, we did a pilot study for the task of recognizing 14 human activities and 7 on body-locations. On average, our approach achieves an 87:72% classification accuracy (the mean of precision and recall).","PeriodicalId":101720,"journal":{"name":"2012 Ninth International Conference on Wearable and Implantable Body Sensor Networks","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115676375","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：