Fuzzy Theory Combined with Heart Rate Variability for Wireless Physiological Information Platform

• Main Authors: Yu-Ting Lin, 林昱霆
• Other Authors: Gwo-Jia Jong
• Format: Others
• Language: en_US
• Published: 2013
• Online Access: http://ndltd.ncl.edu.tw/handle/9wt57s

碩士 === 國立高雄應用科技大學 === 電子工程系碩士班 === 101 === This thesis describes a wireless physiological information platform, which is combined with the smart devices using wireless sensor network (WSN) technology. The physiological signals can be acquired by wireless bio-sensor modules, such as electrocardiogram (ECG), heart rate (HR), heart rate variability (HRV), autonomic nervous system (ANS) activity and blood oxygen saturation (SpO2), etc... The collected bio-information is transmitted by Bluetooth and Zigbee for server and smart device platform, which provide the real-time bio-information for family member and doctor with storage and analysis function requirements. The smart device is also connected to the medical server by using wireless network. The HRV detection parameter value is adapted to the criteria and basis for the features of heart disease and myocardial infarction by fuzzy theory and decision algorithm. The remote client can inquire the bio-information at any time on internet information service (IIS) platform. In addition, the bio-information and myocardial infarction information can provide for alert message timely. The platform of this thesis is achieved ubiquitous mobile physiological information platform and reducing health care costs purpose.