title: Biophone: Physiology monitoring from peripheral smartphone motions.
abstract: The large-scale adoption of smartphones during recent years has created many opportunities to improve health monitoring and care delivery. In this work, we demonstrate that motion sensors available in off-the-shelf smartphones can capture physiological parameters of a person during stationary postures, even while being carried in a bag or a pocket. In particular, we develop methods to extract heart and breathing rates from accelerometer data and compare them with measurements obtained with FDA-cleared sensors. We evaluated their accuracy on 12 people across different still body postures (pre- and post- exercise) and were able to reach mean absolute errors of 1.16 beats per minute (STD: 3) and 0.26 breaths per minute (STD: 0.5) when considering different conditions. Furthermore, we evaluated the same methods during regular phone activities, such as when watching a video or listening to a conversation, yielding increased but still comparable error rates for some conditions.
authors.forename: Javier
authors.initials: J
authors.lastname: Hernandez
authors.forename: Daniel J
authors.initials: DJ
authors.lastname: McDuff
authors.forename: Rosalind W
authors.initials: RW
authors.lastname: Picard
mesh_terms: D005260:Female; D006339:Heart Rate / Q000502:physiology; D006801:Humans; D008297:Male; D008991:Monitoring, Physiologic / Q000379:methods*; D009038:Motion; D011187:Posture; D056152:Respiratory Rate / Q000502:physiology; D000068997:Smartphone