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

Almothana Albukhari1, Frederico Lima2, Ulrich Mescheder3

  • 1Medical and Mechanical Engineering Faculty, and Institute for Microsystem Technology (iMST), Furtwangen University, 78120 Furtwangen, Germany. alb@hs-furtwangen.de.

Sensors (Basel, Switzerland)
|April 3, 2019
PubMed

Keywords:
ballistocardiographyclusteringcontactless monitoringheart rateload cellpattern recognitionunsupervised machine learningvital signs monitoring

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