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  4. DR.BEAT: First Insights into a Study to Collect Baseline BCG Data with a Sensor-Based Wearable Prototype in Heart-Healthy Adults
 
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DR.BEAT: First Insights into a Study to Collect Baseline BCG Data with a Sensor-Based Wearable Prototype in Heart-Healthy Adults

Publikationstyp
Conference Paper
Date Issued
2023-07-24
Sprache
English
Author(s)
Wolf, Marie Cathrine  
Klein, Peter  
Kulau, Ulf  
Smart Sensors E-EXK3  
Richter, Christoph  
Wolf, Klaus-Hendrik  
TORE-URI
https://hdl.handle.net/11420/45497
Citation
45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC 2023)
Contribution to Conference
45th Annual International Conference of the IEEE Engineering in Medicine and Biology Conference, EMBC 2023  
Publisher DOI
10.1109/embc40787.2023.10340170
Publisher
IEEE
The DR.BEAT project aims at the further development of a measurement system for recording ballistocardiographic signals into a body-worn sensor system combined with extensive signal processing, data evaluation and visualization. With a first breadboard prototype, an explorative feasibility study for acquiring initial signals of healthy cardiac activity in adults was performed. This paper briefly presents the DR.BEAT project, the breadboard prototype, the study conducted, and initial insights into the study results. The signals obtained in the study exhibit the seismocardiographic characteristics as reported in the literature and form the basis for further development of the hardware as well as the pre-processing and automated analysis algorithms in the DR.BEAT project.Clinical Relevance— The characteristics of ballisto- and seismocardiographic signals allow to infer about the mechanical work of the heart. The development of a body-worn sensor system to record ballisto- and seismocardiographic signals, compact enough for everyday wear, enables the acquisition of heart-specific parameters in terrestrial as well as extraterrestrial application scenarios. Combined with extensive signal analysis and visualization, it holds the potential to monitor heart health in a variety of contexts and support its maintenance and improvement.
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