DocumentCode :
3706431
Title :
Biowatch: Estimation of heart and breathing rates from wrist motions
Author :
Javier Hernandez;Daniel McDuff;Rosalind W. Picard
Author_Institution :
Media Lab, Massachusetts Institute of Technology, Cambridge, USA
fYear :
2015
fDate :
5/1/2015 12:00:00 AM
Firstpage :
169
Lastpage :
176
Abstract :
Continued developments of sensor technology including hardware miniaturization and increased sensitivity have enabled the development of less intrusive methods to monitor physiological parameters during daily life. In this work, we present methods to recover cardiac and respiratory parameters using accelerometer and gyroscope sensors on the wrist. We demonstrate accurate measurements in a controlled laboratory study where participants (n = 12) held three different positions (standing up, sitting down and lying down) under relaxed and aroused conditions. In particular, we show it is possible to achieve a mean absolute error of 1.27 beats per minute (STD: 3.37) for heart rate and 0.38 breaths per minute (STD: 1.19) for breathing rate when comparing performance with FDA-cleared sensors. Furthermore, we show comparable performance with a state-of-the-art wrist-worn heart rate monitor, and when monitoring heart rate of three individuals during two consecutive nights of in-situ sleep measurements.
Keywords :
"Heart rate","Wrist","Accelerometers","Gyroscopes","Biomedical monitoring","Estimation","Monitoring"
Publisher :
ieee
Conference_Titel :
Pervasive Computing Technologies for Healthcare (PervasiveHealth), 2015 9th International Conference on
Print_ISBN :
978-1-63190-045-7
Electronic_ISBN :
2153-1641
Type :
conf
DOI :
10.4108/icst.pervasivehealth.2015.259064
Filename :
7349394
Link To Document :
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