On the Performance of Bed-Integrated Ballistocardiography in Long-Term Heart Rate Monitoring of Vascular Patients

Christoph Hoog Antink, Yen Mai, Jukka Ranta, Adrian Tamiceriu, Christoph Brüser, Steffen Leonhardt, Niku Oksala, Antti Vehkaoja

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

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The application of ballistocardiography (BCG) for unobtrusive monitor of (beat-to-beat) heart rate in sleeping subjects has seen increased attention in recent years. While most studies are performed on healthy volunteers, some studies have included subjects with sleep-related problems. Even so, little attention has been payed to patients suffering from cardiovascular diseases. In addition, most studies are either limited to short laboratory measurements or overnight recordings of sleeping subjects.In this work, we present preliminary results on beat-to-beat interval estimation of long-term (> 21 h) BCG recordings in a hospital environment. Measurements were obtained from five subjects after peripheral vascular surgery or endovascular interventions and compared to Holter recordings. The commercially available sensor Emfit QS as well an augmented version of the CLIE interval estimation algorithm were used. Using the proposed approach, an average relative beat-to-beat interval error of 3.8 % at a coverage of 61.5 % was achieved. Error and coverage were found to vary from subject to subject as well as time of day. On average, findings are comparable though inferior to results reported on insomniac subjects in a sleep laboratory environment.

Original languageEnglish
Title of host publication2019 Computing in Cardiology, CinC 2019
ISBN (Electronic)978-1-7281-6936-1
Publication statusPublished - 2019
Publication typeA4 Article in conference proceedings
EventComputing in Cardiology -
Duration: 1 Jan 2019 → …

Publication series

NameComputing in Cardiology
ISSN (Print)2325-8861
ISSN (Electronic)2325-887X


ConferenceComputing in Cardiology
Period1/01/19 → …

Publication forum classification

  • Publication forum level 1


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