Autor: |
Pickert MC; Peter L. Reichertz Institute for Medical Informatics, Germany., Tharra T; Peter L. Reichertz Institute for Medical Informatics, Germany., Kulau U; DSI Aerospace Technologie GmbH, Germany., Richter C; DSI Aerospace Technologie GmbH, Germany., Zettner P; User Interface Design GmbH, Germany., Marschollek M; Peter L. Reichertz Institute for Medical Informatics, Germany., Wolf KH; Peter L. Reichertz Institute for Medical Informatics, Germany. |
Jazyk: |
angličtina |
Zdroj: |
Studies in health technology and informatics [Stud Health Technol Inform] 2024 Aug 22; Vol. 316, pp. 492-496. |
DOI: |
10.3233/SHTI240456 |
Abstrakt: |
The DR.BEAT project aims to develop an accelerometer-based, wearable sensor system for measuring ballistocardiographic (BCG) signals, coupled with signal processing and visualization, to support cardiac health monitoring. A rule-based heartbeat detection was developed to enable the derivation of health parameters independent of an existing reference. This paper outlines the algorithm's methodology and provides an initial evaluation of its performance based on seismocardiographic (SCG) measurements obtained from an initial study involving twelve heart-healthy adults. On average, 87.6% of the heartbeats over all measurements, 97.6% of the heartbeats at rest and 71.9% of the heartbeats during physical stress could be detected. |
Databáze: |
MEDLINE |
Externí odkaz: |
|