Research Article
A Vital Wearing System with Wireless Capability
@INPROCEEDINGS{10.4108/ICST.PERVASIVEHEALTH2008.2947, author={Mu-Huo Cheng and Li-Chung Chen and Ying-Che Hung and Chien-Nan Chen and Chang Ming Yang and Tzu Lin Yang}, title={A Vital Wearing System with Wireless Capability}, proceedings={2nd International ICST Conference on Pervasive Computing Technologies for Healthcare}, publisher={IEEE}, proceedings_a={PERVASIVEHEALTH}, year={2008}, month={7}, keywords={Acceleration Elbow Electrocardiography Heart rate Knee Motion detection Signal processing algorithms Temperature sensors Wearable sensors Wireless sensor networks}, doi={10.4108/ICST.PERVASIVEHEALTH2008.2947} }- Mu-Huo Cheng
Li-Chung Chen
Ying-Che Hung
Chien-Nan Chen
Chang Ming Yang
Tzu Lin Yang
Year: 2008
A Vital Wearing System with Wireless Capability
PERVASIVEHEALTH
ICST
DOI: 10.4108/ICST.PERVASIVEHEALTH2008.2947
Abstract
A system with wearable sensors for detecting and sensing vital and physical motion signals such as the ECG, respiration, temperature, sweatiness, three-axis accelerations, and the motions of both knee ankles and elbows is presented. The system is also equipped with a bluetooth transceiver such that the obtained sensor signals can be transmitted to mobile phones or remote computers for either monitoring or post signal processing to extract knowledges or information. The presented system is embedded with signal processing algorithms such as the heart rate, the respiratory period, the body temperature, the degree of sweatiness, and the posture of wearing person are demonstrated. The heart rate and heart rate variation from the measured ECG data are estimated using an adaptive ESPRIT algorithm. This system is highly suitable for applications of remote healthcare and wellness.