MEMSWEAR – INCORPORATING MEMS TECHNOLOGY INTO SMART SHIRT FOR GERIATRIC HEALTHCARE

Abstract

International Journal of Computational Engineering ScienceVol. 04, No. 02, pp. 289-292 (2003) BioMEMS and MicrofluidsNo AccessMEMSWEAR – INCORPORATING MEMS TECHNOLOGY INTO SMART SHIRT FOR GERIATRIC HEALTHCAREKWONG-LUCK TAN and FRANCIS E. H. TAYKWONG-LUCK TANMedical Devices Group, Institute of Bioengineering and Nanotechnology, 51 Science Park Road #01-01/10, The Aries, Singapore Science Park II, Singapore 117586, Singapore Search for more papers by this author and FRANCIS E. H. TAYMedical Devices Group, Institute of Bioengineering and Nanotechnology, 51 Science Park Road #01-01/10, The Aries, Singapore Science Park II, Singapore 117586, SingaporeDepartment of Mechanical Engineering, National University of Singapore, 10 Kent Ridge Crescent, Singapore 119260, Singapore Search for more papers by this author https://doi.org/10.1142/S1465876303001101Cited by:1 PreviousNext AboutSectionsPDF/EPUB ToolsAdd to favoritesDownload CitationsTrack CitationsRecommend to Library ShareShare onFacebookTwitterLinked InRedditEmail AbstractCurrent vital signs monitoring system used by hospitals are bulky and usually for measurement of one or two vital signs specifically. These devices are inconvenient for home use and too technical to layman. With a comprehensive vital sings monitor in the form of a garment, MEMSWear, the hassle of hanging cables and bulky equipment can be eliminated. MEMSWear will benefit the elderly by improving the overall standard of the healthcare system and reducing the costs of in-house monitoring and hospitalization. This paper presents the vision and methodology of the MEMSWear project. In addition, the development of a novel human fall detection system using MEMS technology is discussed. Finally, some preliminary results of the vital signs monitoring are presented.Keywords:MEMSgeriatric healthcarewireless communicationvital signs monitoringfall detection system References Health Facts Singapore 2001 . Google ScholarS. Parket al., The Wearable Mother-boardTM: An Information Infrastructure or Sensate Liner for Medical Applications, Studies in Health Technology and Informatics 62 (IOS Press, 1999) pp. 252–258. Google Scholar FiguresReferencesRelatedDetailsCited By 1Detection of mental fatigue state with wearable ECG devicesShitong Huang, Jia Li, Pengzhu Zhang and Weiqiang Zhang1 Nov 2018 | International Journal of Medical Informatics, Vol. 119 Recommended Vol. 04, No. 02 Metrics History KeywordsMEMSgeriatric healthcarewireless communicationvital signs monitoringfall detection systemPDF download