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

doi:10.1109/MSN50589.2020.00029

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 proceeding › Conference article in proceedings › Scientific › peer-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 language	English
Title of host publication	Proceedings of 2020 16th International Conference on Mobility, Sensing and Networking (MSN 2020)
Publisher	IEEE
Pages	86-91
Number of pages	6
ISBN (Electronic)	978-1-7281-9916-0
DOIs	https://doi.org/10.1109/MSN50589.2020.00029
Publication status	Published - Apr 2021
MoE publication type	A4 Conference publication
Event	International Conference on Mobility, Sensing and Networking - Tokyo, Japan Duration: 17 Dec 2020 → 19 Dec 2020 Conference number: 16

Conference

Conference	International Conference on Mobility, Sensing and Networking
Abbreviated title	MSN
Country/Territory	Japan
City	Tokyo
Period	17/12/2020 → 19/12/2020

Keywords

Ballistocardiography
Pervasive Healthcare

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10.1109/MSN50589.2020.00029

Analysing Ballistocardiography for Pervasive HealthcareAccepted author manuscript, 2.15 MB

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Hytönen, R., Tshala, A., Schreier, J., Holopainen, M., Forsman, A., Oksanen, M., Findling, R., Jähne-Raden, N., Nguyen, L., & Sigg, S. (2021). Analysing Ballistocardiography for Pervasive Healthcare. In Proceedings of 2020 16th International Conference on Mobility, Sensing and Networking (MSN 2020) (pp. 86-91). Article 9394218 IEEE. https://doi.org/10.1109/MSN50589.2020.00029

@inproceedings{0b9c1bacc05a454287307c53f0d5659e,

title = "Analysing Ballistocardiography for Pervasive Healthcare",

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{\textquoteright}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.",

keywords = "Ballistocardiography, Pervasive Healthcare",

author = "Roni Hyt{\"o}nen and Alison Tshala and Jan Schreier and Melissa Holopainen and Aada Forsman and Minna Oksanen and Rainhard Findling and Nico J{\"a}hne-Raden and Le Nguyen and Stephan Sigg",

year = "2021",

month = apr,

doi = "10.1109/MSN50589.2020.00029",

language = "English",

pages = "86--91",

booktitle = "Proceedings of 2020 16th International Conference on Mobility, Sensing and Networking (MSN 2020)",

publisher = "IEEE",

address = "United States",

note = "International Conference on Mobility, Sensing and Networking, MSN ; Conference date: 17-12-2020 Through 19-12-2020",

}

Hytönen, R, Tshala, A, Schreier, J, Holopainen, M, Forsman, A, Oksanen, M, Findling, R, Jähne-Raden, N, Nguyen, L & Sigg, S 2021, Analysing Ballistocardiography for Pervasive Healthcare. in Proceedings of 2020 16th International Conference on Mobility, Sensing and Networking (MSN 2020)., 9394218, IEEE, pp. 86-91, International Conference on Mobility, Sensing and Networking, Tokyo, Japan, 17/12/2020. https://doi.org/10.1109/MSN50589.2020.00029

TY - GEN

T1 - Analysing Ballistocardiography for Pervasive Healthcare

AU - Hytönen, Roni

AU - Tshala, Alison

AU - Schreier, Jan

AU - Holopainen, Melissa

AU - Forsman, Aada

AU - Oksanen, Minna

AU - Findling, Rainhard

AU - Jähne-Raden, Nico

AU - Nguyen, Le

AU - Sigg, Stephan

N1 - Conference code: 16

PY - 2021/4

Y1 - 2021/4

N2 - 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.

AB - 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.

KW - Ballistocardiography

KW - Pervasive Healthcare

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U2 - 10.1109/MSN50589.2020.00029

DO - 10.1109/MSN50589.2020.00029

M3 - Conference article in proceedings

SP - 86

EP - 91

BT - Proceedings of 2020 16th International Conference on Mobility, Sensing and Networking (MSN 2020)

PB - IEEE

T2 - International Conference on Mobility, Sensing and Networking

Y2 - 17 December 2020 through 19 December 2020

ER -

Analysing Ballistocardiography for Pervasive Healthcare

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