A U - Net Deep Learning Model for Infant Heart Rate Estimation from Ballistography-Reference-Cited by-同舟云学术

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A U - Net Deep Learning Model for Infant Heart Rate Estimation from Ballistography

Published:2022-07-11 Issue: Volume: Page:
ISSN:
Container-title:2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)
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Author:

Prins Wendy¹,Stamatelou Elena²,Dellimore Kiran²,Likumbo Alice³,Kafulafula Emmanuel³,Langton Josephine³,Njirammadzi Jenala³,Mwenisungo Joyce³,Msukwa Tushapo³,Calis Job³,van Sloun Ruud¹,Bierling Bart²

Affiliation:

1. Eindhoven University of Technology,Faculty of Electrical Engineering,Eindhoven,The Netherlands,5600 MB

2. GOAL 3 B.V.,'s-Hertogenbosch,The Netherlands,92 5211 DA

3. Center for Paediatric Surgery and Intensive Care, Queen Elizabeth Central Hospital,Blantyre,Malawi

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9870821/9870822/09871797.pdf?arnumber=9871797

Reference12 articles.

1. Nonintrusive heart rate measurement using ballistocardiogram signals: a comparative study

2. Bed-Embedded Heart and Respiration Rates Detection by Longitudinal Ballistocardiography and Pattern Recognition

3. Ballistocardiography and Seismocardiography: A Review of Recent Advances

4. Focal Loss for Dense Object Detection

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