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Heart rate estimation based on in-bed accelerometer sensor measurement

  • Accurate monitoring of a patient's heart rate is a key element in the medical observation and health monitoring. In particular, its importance extends to the identification of sleep-related disorders. Various methods have been established that involve sensor-based recording of physiological signals followed by automated examination and analysis. This study attempts to evaluate the efficacy of a non-invasive HR monitoring framework based on an accelerometer sensor specifically during sleep. To achieve this goal, the motion induced by thoracic movements during cardiac contractions is captured by a device installed under the mattress. Signal filtering techniques and heart rate estimation using the symlets6 wavelet are part of the implemented computational framework described in this article. Subsequent analysis indicates the potential applicability of this system in the prognostic domain, with an average error margin of approximately 3 beats per minute. The results obtained represent a promising advancement in non-invasive heart rate monitoring during sleep, with potential implications for improved diagnosis and management of cardiovascular and sleep-related disorders.

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Author of HS ReutlingenMartínez Madrid, Natividad
Erschienen in:Models and applications for embedded systems
Publisher:Università Politecnica delle Marche
Place of publication:Ancona
Editor:Massimo Conti, Simone Orcioni
Document Type:Book chapter
Publication year:2024
Page Number:4
First Page:11
Last Page:14
DDC classes:610 Medizin, Gesundheit
Open access?:Nein
Licence (German):License Logo  In Copyright - Urheberrechtlich geschützt