ArticleComputers in biology and medicine2025
Effect of respiration and exercise on seismocardiographic signals.
Article in Computers in biology and medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
3 citing papers in PubMed.
- Respiratory Monitoring in Motion: An Overview of Wearable Methods and Algorithmic Approaches for Reliable Assessment.Biosensors · 2026Review
- Monitoring of respiration and cardiorespiratory interactions from multichannel seismocardiography signals.Physical and engineering sciences in medicine · 2026Article
- Deep learning-based beat-to-beat delineation of heart sounds and fiducial points in seismocardiography.Frontiers in digital health · 2025Article
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5 authors.
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Abstract
backgroundSeismocardiographic signals (SCG) are chest wall vibrations induced by mechanical cardiac activities. This study investigated the morphological changes in the SCG signal due to respiration and exercise.
methodsFifteen healthy subjects were recruited, and SCG was acquired before and after exercise. The changes in the SCG signal were quantified using time and amplitude features.
resultsThe amplitudes of the two main SCG events (SCG1 and SCG2) tended to increase after exercise. The absolute cardiac intervals (pre-ejection period (PEP), left ventricular ejection time (LVET), and diastolic time) decreased; the diastolic time relative to cardiac cycle duration (i.e., the R-R interval) also decreased, while the relative PEP and LVET increased for the majority of the subjects. Amplitude modulations were observed in both SCG1 and SCG2 and increased with exercise. Additionally, respiratory influences on the SCG features were observed in both the pre- and post-exercise states. SCG2 amplitude was higher during inspiration (p < 0.01), but SCG1 amplitude didn't exhibit consistent changes with respiration in the study subjects (p > 0.05). For cardiac intervals, PEP decreased during inspiration, while LVET and diastolic time increased (p < 0.01). All the cardiac intervals (both absolute and as a percentage of cardiac cycle duration) showed reduced respiratory variability post-exercise.
conclusionsThese results document SCG signal variabilities that were not reported before and provide a link between cardiac activity, respiration, and exercise, which may help increase the clinical utility of SCG in the diagnosis and management of cardiopulmonary conditions. More studies are required to validate the study findings in more normal subjects and in those with cardiopulmonary pathology.
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