A. Dinh, D. Teng, L. Chen, Y. Shi, C. McCrosky, J. Basran, V. Del Bello-Hass, S. Ko, A. Ralhan, D. Williams, N. Windels, A. Choudhury
{"title":"A fall detection and near-fall data collection system","authors":"A. Dinh, D. Teng, L. Chen, Y. Shi, C. McCrosky, J. Basran, V. Del Bello-Hass, S. Ko, A. Ralhan, D. Williams, N. Windels, A. Choudhury","doi":"10.1109/MNRC.2008.4683392","DOIUrl":null,"url":null,"abstract":"The FANFARE project has developed a system to fulfill the need for a wearable device to collect data for fall analysis. The system consists of a computer and a wireless sensor network to measure, display and store fall related parameters such as postural activities and heart rate variability. Ease of use and low power were considered in the design. The system was built and successfully tested. Medical community now has the tool to collect and analyze fall related data for the purpose of detection and prevention of unintentional falls.","PeriodicalId":247684,"journal":{"name":"2008 1st Microsystems and Nanoelectronics Research Conference","volume":"22 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 1st Microsystems and Nanoelectronics Research Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MNRC.2008.4683392","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4
Abstract
The FANFARE project has developed a system to fulfill the need for a wearable device to collect data for fall analysis. The system consists of a computer and a wireless sensor network to measure, display and store fall related parameters such as postural activities and heart rate variability. Ease of use and low power were considered in the design. The system was built and successfully tested. Medical community now has the tool to collect and analyze fall related data for the purpose of detection and prevention of unintentional falls.
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