The 12th IEEE International Conference on e-Health Networking, Applications and Services最新文献_第5页

Artifacts mitigation in ambulatory ECG telemetry 动态心电遥测中的伪影缓解

The 12th IEEE International Conference on e-Health Networking, Applications and Services Pub Date : 2010-07-01 DOI: 10.1109/HEALTH.2010.5556547

H. Garudadri, P. Baheti, Somdeb Majumdar, Craig Lauer, F. Massé, J. van de Molengraft, J. Penders

{"title":"Artifacts mitigation in ambulatory ECG telemetry","authors":"H. Garudadri, P. Baheti, Somdeb Majumdar, Craig Lauer, F. Massé, J. van de Molengraft, J. Penders","doi":"10.1109/HEALTH.2010.5556547","DOIUrl":"https://doi.org/10.1109/HEALTH.2010.5556547","url":null,"abstract":"In remote monitoring applications of vital signs including ECG, it is extremely important to ensure that the diagnostic integrity of the signals is not compromised due to the presence of sensing artifacts and channel errors. It is also important for the platform to be extremely power efficient in order to facilitate wearable sensors with user friendly form factors. We present a novel, low power application layer solution that is agnostic to wireless protocols and mitigates artifacts due to packet losses in Body Area Networks (BANs). In our previous work, we presented initial results based on this approach and demonstrated that greater than 99% beat detection accuracy can be achieved even at a packet loss rate as high as 20%. Our contributions in this work include validation of the above on a platform with an ultra low power wearable single lead ECG pendant. We present details of implementation and then extend the platform to mitigate ECG sensing artifacts including power line interference and baseline wandering. The proposed approach enables us to offload most of the complex processing from sensor nodes to the receiver node with better a battery budget, for improved sensor life. Finally, present a qualitative and quantitative assessment of the system.","PeriodicalId":112608,"journal":{"name":"The 12th IEEE International Conference on e-Health Networking, Applications and Services","volume":"70 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127365432","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}

引用次数: 13

A remote guidance system for the blind 为盲人设计的远程导航系统

The 12th IEEE International Conference on e-Health Networking, Applications and Services Pub Date : 2010-07-01 DOI: 10.1109/HEALTH.2010.5556539

P. Baranski, M. Polanczyk, P. Strumiłło

引用次数: 57

A user friendly implementation for efficiently conducting Hammersmith Infant Neurological Examination 一个用户友好的实现，有效地进行哈默史密斯婴儿神经检查

The 12th IEEE International Conference on e-Health Networking, Applications and Services Pub Date : 2010-07-01 DOI: 10.1109/HEALTH.2010.5556541

D. P. Dogra, Karthik Nandam, A. Majumdar, S. Sural, J. Mukhopadhyay, B. Majumdar, A. Singh, S. Mukherjee

引用次数: 6

Lightweight portable sensors for health care 用于医疗保健的轻便便携式传感器

The 12th IEEE International Conference on e-Health Networking, Applications and Services Pub Date : 2010-07-01 DOI: 10.1109/HEALTH.2010.5556575

I. G. Trindade, J. Lucas, R. Miguel, P. Alpuim, M. Carvalho, N. M. García

{"title":"Lightweight portable sensors for health care","authors":"I. G. Trindade, J. Lucas, R. Miguel, P. Alpuim, M. Carvalho, N. M. García","doi":"10.1109/HEALTH.2010.5556575","DOIUrl":"https://doi.org/10.1109/HEALTH.2010.5556575","url":null,"abstract":"In this article, textile electrodes and semiconductor thin film piezoresistive sensors on plastic substrates were manufactured and fabricated with CMOS processes, respectively. An armband made of plain weave fabric, integrating embroidery textile electrodes of stainless steel (SS) and elastics to conform to human forearms were manufactured. The textile electrodes with an area of 1cm2 were made of two stitching layers for ease of manufacture and electrode robustness and connected through snap fasteners and SS/cotton threads to a signal processing electronic module. Piezoresistive sensors, consisting of n-type hydrogenated nanocrystalline silicon thin films patterned into rectangular bars and having metallic thin leads connecting the sensor to large pads were fabricated on 25µm thick flexible (polyimide) substrates. The textile and thin film piezoresistive sensors were connected to a small lightweight signal processing electronic module of a wireless portable unit for real-time monitoring and recording of the sensors signals. Surface electromyography signals of the forearms of a volunteer wearing the armband with textile electrodes exhibit amplitudes and baseline noise levels comparable to those obtained with standard Ag/AgCl electrodes. The piezoresistive sensor on plastic substrate was stuck with grease to the neck of a volunteer and small front/back neck movement monitored and recorded.","PeriodicalId":112608,"journal":{"name":"The 12th IEEE International Conference on e-Health Networking, Applications and Services","volume":"06 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130087541","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}

引用次数: 13

Continua: The reference architecture of a personal telehealth ecosystem Continua:个人远程医疗生态系统的参考架构

The 12th IEEE International Conference on e-Health Networking, Applications and Services Pub Date : 2010-07-01 DOI: 10.1109/HEALTH.2010.5556588

F. Wartena, J. Muskens, L. Schmitt, M. Petkovic

引用次数: 40

Designing user interfaces for elderly: A case study in applicability of thin vs. fat clients 为老年人设计用户界面:瘦客户机与胖客户机适用性的案例研究

The 12th IEEE International Conference on e-Health Networking, Applications and Services Pub Date : 2010-07-01 DOI: 10.1109/HEALTH.2010.5556527

A. Grguric, I. Benc, S. Desic, M. Mosmondor, J. Križanić, P. Lazarevski

引用次数: 5

Accelerometer's position free human activity recognition using a hierarchical recognition model 加速度计的位置自由人体活动识别采用层次识别模型

The 12th IEEE International Conference on e-Health Networking, Applications and Services Pub Date : 2010-07-01 DOI: 10.1109/HEALTH.2010.5556553

A. Khan, Y. K. Lee, S.Y. Lee

{"title":"Accelerometer's position free human activity recognition using a hierarchical recognition model","authors":"A. Khan, Y. K. Lee, S.Y. Lee","doi":"10.1109/HEALTH.2010.5556553","DOIUrl":"https://doi.org/10.1109/HEALTH.2010.5556553","url":null,"abstract":"Monitoring of physical activities is a growing field with potential applications such as lifecare and healthcare. Accelerometry shows promise in providing an inexpensive but effective means of long-term activity monitoring of elderly patients. However, even for the same physical activity the output of any body-worn Triaxial Accelerometer (TA) varies at different positions of a subject's body, resulting in a high within-class variance. Thus almost all existing TA-based human activity recognition systems require firm attachment of TA to a specific body part, making them impractical for long-term activity monitoring during unsupervised free living. Therefore, we present a novel hierarchical recognition model that can recognize human activities independent of TA's position along a human body. The proposed model minimizes the high within-class variance significantly and allows subjects to carry TA freely in any pocket without attaching it firmly to a body-part. We validated our model using six daily physical activities: resting (sit/stand), walking, walk-upstairs, walk-downstairs, running, and cycling. Activity data is collected from four most probable body positions of TA: chest pocket, front trousers pocket, rear trousers pocket, and inner jacket pocket. The average accuracy of about 95% illustrates the effectiveness of the proposed method.","PeriodicalId":112608,"journal":{"name":"The 12th IEEE International Conference on e-Health Networking, Applications and Services","volume":"93 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124441844","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}

引用次数: 49

Empirical analysis of the effect of eHealth to medical expendirures of lifestyle-related diseases 电子健康对生活方式相关疾病医疗支出影响的实证分析

The 12th IEEE International Conference on e-Health Networking, Applications and Services Pub Date : 2010-07-01 DOI: 10.1109/HEALTH.2010.5556556

Y. Akematsu, M. Tsuji

引用次数: 2

Proposed deployments to provide E-healthcare in Bangladesh: Urban and rural perspectives 在孟加拉国提供电子医疗保健的拟议部署:城市和农村的观点

The 12th IEEE International Conference on e-Health Networking, Applications and Services Pub Date : 2010-07-01 DOI: 10.1109/HEALTH.2010.5556542

R. Mostafa, G. E. Ehsanur Rahman, G. M. Hasan, A. Kabir, Atiqur Rahman, Sanjid Ashik

引用次数: 14

Ambient and wearable sensing for gait classification in pervasive healthcare environments 在普遍的医疗保健环境中用于步态分类的环境和可穿戴传感

The 12th IEEE International Conference on e-Health Networking, Applications and Services Pub Date : 2010-07-01 DOI: 10.1109/HEALTH.2010.5556563

M. Elsayed, A. Alsebai, A. Salaheldin, N. El Gayar, M. Elhelw

{"title":"Ambient and wearable sensing for gait classification in pervasive healthcare environments","authors":"M. Elsayed, A. Alsebai, A. Salaheldin, N. El Gayar, M. Elhelw","doi":"10.1109/HEALTH.2010.5556563","DOIUrl":"https://doi.org/10.1109/HEALTH.2010.5556563","url":null,"abstract":"Pervasive healthcare environments provide an effective solution for monitoring the wellbeing of the elderly where the general trend of an increasingly ageing population has placed significant burdens on current healthcare systems. An important pervasive healthcare system functionality is patient motion analysis where gait information can be used to detect walking behavior abnormalities that may indicate the onset of adverse health problems, for quantifying post-operative recovery, and to observe the progression of neurodegenerative diseases. The development of accurate motion analysis models, however, requires the integration of multi-sensing modalities and the utilization of appropriate data analysis techniques. This paper describes a simple and robust framework for improved patient motion analysis based on an ambient and a wearable sensor. Using visual information from a single vision sensor, target segmentation is first carried out and a skeleton extraction procedure is subsequently applied to quantify the target internal motion by computing two metrics, spatiotemporal cyclic motion between leg segments and head trajectory. Extracted accelerometer information from a wearable body sensor is fused with the extracted metrics at the feature level by using K-Nearest Neighbor algorithm to classify target's walking gait into normal or abnormal. The potential value of the proposed framework for patient monitoring is demonstrated and the results obtained from practical experiments are described.","PeriodicalId":112608,"journal":{"name":"The 12th IEEE International Conference on e-Health Networking, Applications and Services","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130185998","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}

引用次数: 11