Cardiac and Respiratory Parameter Estimation Using Head-mounted Motion-sensitive Sensors

Authors

DOI:

https://doi.org/10.4108/phat.1.1.e2

Keywords:

Ballistocardiography (BCG), blood volume pulse (BVP), heart rate, respiration rate, head-mounted wearable device, gyroscope, accelerometer, camera, daily life monitoring

Abstract

This work explores the feasibility of using motion-sensitive sensors embedded in Google Glass, a head-mounted wearable device, to robustly measure physiological signals of the wearer. In particular, we develop new methods to use Glass’s accelerometer, gyroscope, and camera to extract pulse and respiratory waves of 12 participants during a controlled experiment. We show it is possible to achieve a mean absolute error of 0.82 beats per minute (STD: 1.98) for heart rate and 0.6 breaths per minute (STD: 1.19) for respiration rate when considering different observation windows and combinations of sensors. Moreover, we show that a head-mounted gyroscope sensor shows improved performance versus more commonly explored sensors such as accelerometers and demonstrate that a head-mounted camera is a novel and promising method to capture the physiological responses of the wearer. These findings included testing across sitting, supine, and standing postures before and after physical exercise.

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Published

18-05-2015

How to Cite

1.
Hernandez J, Li Y, Rehg JM, Picard RW. Cardiac and Respiratory Parameter Estimation Using Head-mounted Motion-sensitive Sensors. EAI Endorsed Trans Perv Health Tech [Internet]. 2015 May 18 [cited 2024 Mar. 29];1(1):e2. Available from: https://publications.eai.eu/index.php/phat/article/view/1362