TY - GEN
T1 - On the Performance of Bed-Integrated Ballistocardiography in Long-Term Heart Rate Monitoring of Vascular Patients
AU - Antink, Christoph Hoog
AU - Mai, Yen
AU - Ranta, Jukka
AU - Tamiceriu, Adrian
AU - Brüser, Christoph
AU - Leonhardt, Steffen
AU - Oksala, Niku
AU - Vehkaoja, Antti
N1 - JUFOID=72942
PY - 2019
Y1 - 2019
N2 - 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.
AB - 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.
UR - https://www.cinc.org/cinc-papers-on-line/
U2 - 10.22489/CinC.2019.167
DO - 10.22489/CinC.2019.167
M3 - Conference contribution
AN - SCOPUS:85081136554
T3 - Computing in Cardiology
BT - 2019 Computing in Cardiology, CinC 2019
PB - IEEE
T2 - Computing in Cardiology
Y2 - 1 January 2019
ER -