Analysing Ballistocardiography for Pervasive Healthcare

Roni Hytönen, Alison Tshala, Jan Schreier, Melissa Holopainen, Aada Forsman, Minna Oksanen, Rainhard Findling, Nico Jähne-Raden, Le Nguyen, Stephan Sigg

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

2 Citations (Scopus)
316 Downloads (Pure)

Abstract

We describe a methodology to measure ballistocardiography (BCG) signals from the body surface, using body-worn digital accelerometers to extract medically relevant information for Pervasive Healthcare. We are able to measure measuring heart rate with an 95% accuracy as well as other cardiac metrics, such as the S1-S2 interval, deviating from ECG by only 1.3%. Our results show that BCG can be a viable alternative to an electrocardiogram to provide complementary information on the heart’s condition in mobile and pervasive use cases. We further show that BCG information can be detected from arm as reliably as from chest, which is especially convenient for measuring from supine positions in Pervasive healthcare applications.
Original languageEnglish
Title of host publicationProceedings of 2020 16th International Conference on Mobility, Sensing and Networking (MSN 2020)
PublisherIEEE
Pages86-91
Number of pages6
ISBN (Electronic)978-1-7281-9916-0
DOIs
Publication statusPublished - Apr 2021
MoE publication typeA4 Conference publication
EventInternational Conference on Mobility, Sensing and Networking - Tokyo, Japan
Duration: 17 Dec 202019 Dec 2020
Conference number: 16

Conference

ConferenceInternational Conference on Mobility, Sensing and Networking
Abbreviated titleMSN
Country/TerritoryJapan
CityTokyo
Period17/12/202019/12/2020

Keywords

  • Ballistocardiography
  • Pervasive Healthcare

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