TY - GEN
T1 - Web-based remote human pulse monitoring system with intelligent data analysis for home healthcare
AU - Chen, Chih Ming
AU - Hong, Chin Ming
AU - Huang, Chia Meng
AU - Lee, Tai Hung
PY - 2008/6/19
Y1 - 2008/6/19
N2 - Many studies had indicated that applying intelligent systems with physiology signal monitoring for e-health care is a current developing trend. A physiology signal monitoring system can help medical staffs to monitor and analyze human's physiology signal effectively, such that they can not only monitor the patients' physiology states immediately, but also reduce medical cost and save a lot of time of patients to visit hospital's doctors. Therefore, the study employed system on chip (SOC) techniques to develop an embedded human pulse monitoring system with intelligent data analysis mechanism for disease detection and long-term health care, which can be applied to monitor and analyze human's pulse signal in daily life. Meanwhile, the proposed system also developed a friendly web-based interface that is convenient to the observation of immediate human physiological signals. Moreover, this study also proposes an intelligent data analysis scheme based on the modified cosine similarity measure to diagnose abnormal human pulses for exploring potential chronic diseases. Therefore, the proposed system provides benefits in terms of aiding long-distance medical treatment, exploring trends of potential chronic diseases, and urgent situation informing for sudden diseases.
AB - Many studies had indicated that applying intelligent systems with physiology signal monitoring for e-health care is a current developing trend. A physiology signal monitoring system can help medical staffs to monitor and analyze human's physiology signal effectively, such that they can not only monitor the patients' physiology states immediately, but also reduce medical cost and save a lot of time of patients to visit hospital's doctors. Therefore, the study employed system on chip (SOC) techniques to develop an embedded human pulse monitoring system with intelligent data analysis mechanism for disease detection and long-term health care, which can be applied to monitor and analyze human's pulse signal in daily life. Meanwhile, the proposed system also developed a friendly web-based interface that is convenient to the observation of immediate human physiological signals. Moreover, this study also proposes an intelligent data analysis scheme based on the modified cosine similarity measure to diagnose abnormal human pulses for exploring potential chronic diseases. Therefore, the proposed system provides benefits in terms of aiding long-distance medical treatment, exploring trends of potential chronic diseases, and urgent situation informing for sudden diseases.
KW - E-health care
KW - Embedded system
KW - Pulse physiology signal monitoring system
KW - Sequence data analysis
UR - http://www.scopus.com/inward/record.url?scp=57649201888&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=57649201888&partnerID=8YFLogxK
U2 - 10.1109/ICCIS.2008.4670868
DO - 10.1109/ICCIS.2008.4670868
M3 - Conference contribution
AN - SCOPUS:57649201888
SN - 9781424416745
T3 - 2008 IEEE International Conference on Cybernetics and Intelligent Systems, CIS 2008
SP - 636
EP - 641
BT - 2008 IEEE International Conference on Cybernetics and Intelligent Systems, CIS 2008
PB - IEEE Computer Society
T2 - 2008 IEEE International Conference on Cybernetics and Intelligent Systems, CIS 2008
Y2 - 21 September 2008 through 24 September 2008
ER -
