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A study on measuring heart- and respiration-rate via wrist-worn accelerometer-based seismocardiography (SCG) in comparison to commonly applied technologies

: Haescher, Marian; Matthies, Denys J.C.; Trimpop, John; Urban, Bodo


Matthies, Denys J.C. (Ed.); Haescher, Marian (Ed.); Aehnelt, Mario (Ed.); Bieber, Gerald (Ed.); Urban, Bodo (Ed.) ; Association for Computing Machinery -ACM-:
2nd International Workshop on Sensor-based Activity Recognition and Interaction, iWOAR 2015. Proceedings : Rostock, Germany, June 25 - 26, 2015
New York: ACM, 2015
ISBN: 978-1-4503-3454-9
Art. 2, 6 pp.
International Workshop on Sensor-based Activity Recognition and Interaction (iWOAR) <2, 2015, Rostock>
Conference Paper
Fraunhofer IGD ()
Fraunhofer IGD-R ()
Business Field: Virtual engineering; Research Area: Human computer interaction (HCI); smart watches; sensor technology; vital signs; accelerometer

Since the human body is a living organism, it emits various life signs which can be traced with an action potential sensitive electromyography, but also with motion sensitive sensors such as typical inertial sensors. In this paper, we present a possibility to recognize the heart rate (HR), respiration rate (RR), and the muscular microvibrations (MV) by an accelerometer worn on the wrist. We compare our seismocardiography (SCG)/ballistocardiography (BCG) approach to commonly used measuring methods. In conclusion, our study confirmed that SCG/BCD with a wrist-worn accelerometer also provides accurate vital parameters. While the recognized RR deviated slightly from the ground truth (SD=16.61%), the detection of HR is nonsignificantly different (SD=1.63%) to the gold standard.