Comparison of proximal and distal BCG measurements for blood pressure estimation

Abstract This paper presents a comparison of the blood pressure estimation based on Ballistocardiography (BCG) measurements, acquired at two different body locations. The first BCG signal being the proximally measured BCG at the carotid artery, the second being the distally measured BCG at the foot. Parallel to the BCG measurement, the reference blood pressure is measured. Visual inspection of both BCG signals shows a decreased signal quality for the distal measurement. Moreover, in order to estimate the blood pressure based on BCG derived features for beat-to-beat intervals two neural networks are deployed. It is shown that Mean Absolut Error (MAE) is twice as large for the distal blood pressure estimation as for the proximal estimation and that the estimated pressure values of the proximal model show less variation when comparing the reference pressure and estimated pressure visually.

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Publication Details

Journal
Current Directions in Biomedical Engineering
Published
2024-12-01
DOI
https://doi.org/10.1515/cdbme-2024-2016
Primary Topic
Non-Invasive Vital Sign Monitoring
Type
article
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article

Comparison of proximal and distal BCG measurements for blood pressure estimation

Christian Wiede, Karsten Seidl, Niels G. Becker, Niko Strotmann et al.
Current Directions in Biomedical Engineering
Non-Invasive Vital Sign Monitoring
article

Comparison of proximal and distal BCG measurements for blood pressure estimation

Christian Wiede, Karsten Seidl, Niels G. Becker, Niko Strotmann, Islam Abusaleh, Yannick Kurka
article en

Abstract

Abstract This paper presents a comparison of the blood pressure estimation based on Ballistocardiography (BCG) measurements, acquired at two different body locations. The first BCG signal being the proximally measured BCG at the carotid artery, the second being the distally measured BCG at the foot. Parallel to the BCG measurement, the reference blood pressure is measured. Visual inspection of both BCG signals shows a decreased signal quality for the distal measurement. Moreover, in order to estimate the blood pressure based on BCG derived features for beat-to-beat intervals two neural networks are deployed. It is shown that Mean Absolut Error (MAE) is twice as large for the distal blood pressure estimation as for the proximal estimation and that the estimated pressure values of the proximal model show less variation when comparing the reference pressure and estimated pressure visually.

Current Directions in Biomedical EngineeringVol. 10(4)
Fraunhofer Institute for Microelectronic Circuits and Systems (DE), University of Duisburg-Essen (DE)
Openalex Percentile: Top 78%
Non-Invasive Vital Sign Monitoring
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Comparison of proximal and distal BCG measurements for blood pressure estimation — Christian Wiede, Karsten Seidl, et al. · Current Directions in Biomedical Engineering (2024) | TGRS Research Map | TGRS