DocumentCode :
3672674
Title :
Wearable sensor based stress management using integrated respiratory and ECG waveforms
Author :
Kemeng Chen;Wolfgang Fink;Janet Roveda;Richard D. Lane;John Allen;Johnny Vanuk
Author_Institution :
Department of Electrical and Computer Engineering, University of Arizona, Tucson, AZ 85721
fYear :
2015
fDate :
6/1/2015 12:00:00 AM
Firstpage :
1
Lastpage :
6
Abstract :
Wearable technology and mobile platforms are becoming more and more popular in health care. This paper introduces a real time stress management system using wearable sensors and Smartphone mobile platform. The new system estimates stress level in real time using heart rate variability and patient activity cycles, and provides relaxation exercises instantaneously to help manage stress. The system relies on a wearable sensor to collect data (i.e., heart rate and respiration rate) and transmits data to Smartphones using Bluetooth to further process data. We also introduce a new breathing template matching algorithm to identify the best breathing exercise for users. A 2D visualization display shows that stress can be effectively relieved by the proposed stress management system.
Keywords :
"Stress","Wearable sensors","Heart rate variability","Electrocardiography","Mobile communication","Real-time systems","Biomedical monitoring"
Publisher :
ieee
Conference_Titel :
Wearable and Implantable Body Sensor Networks (BSN), 2015 IEEE 12th International Conference on
Type :
conf
DOI :
10.1109/BSN.2015.7299369
Filename :
7299369
Link To Document :
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