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Hauptverfasser: Lin, Runwei, Halfwerk, Frank, Donker, Dirk, Laverman, Gozewijn Dirk, Wang, Ying
Format: Preprint
Veröffentlicht: 2024
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Online-Zugang:https://arxiv.org/abs/2408.05934
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author Lin, Runwei
Halfwerk, Frank
Donker, Dirk
Laverman, Gozewijn Dirk
Wang, Ying
author_facet Lin, Runwei
Halfwerk, Frank
Donker, Dirk
Laverman, Gozewijn Dirk
Wang, Ying
contents Autonomic nervous system is important for cardiac function regulation. Modeling of autonomic cardiac regulation can contribute to health tracking and disease management. This study proposed a mathematical model that simulates autonomic cardiac regulation response to Valsalva Maneuver, which is a commonly used test that provokes the autonomic nervous system. Dataset containing skin sympathetic nervous activity extracted from healthy participants' ECG was used to validate the model. In the data collection procedure, each participant was required to perform Valsalva Maneuver. The preliminary result of modeling for one subject is presented, and the model validation result showed that the root measure square error between the simulated and measured average skin sympathetic nervous activity is 0.01$μ$V. The model is expected to be further developed, evaluated using the dataset including 41 subjects, and ultimately applied for capturing the early signs of cardiac dysfunction in the future.
format Preprint
id arxiv_https___arxiv_org_abs_2408_05934
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle A Mathematical Model for Skin Sympathetic Nerve Activity Simulation
Lin, Runwei
Halfwerk, Frank
Donker, Dirk
Laverman, Gozewijn Dirk
Wang, Ying
Medical Physics
Signal Processing
Autonomic nervous system is important for cardiac function regulation. Modeling of autonomic cardiac regulation can contribute to health tracking and disease management. This study proposed a mathematical model that simulates autonomic cardiac regulation response to Valsalva Maneuver, which is a commonly used test that provokes the autonomic nervous system. Dataset containing skin sympathetic nervous activity extracted from healthy participants' ECG was used to validate the model. In the data collection procedure, each participant was required to perform Valsalva Maneuver. The preliminary result of modeling for one subject is presented, and the model validation result showed that the root measure square error between the simulated and measured average skin sympathetic nervous activity is 0.01$μ$V. The model is expected to be further developed, evaluated using the dataset including 41 subjects, and ultimately applied for capturing the early signs of cardiac dysfunction in the future.
title A Mathematical Model for Skin Sympathetic Nerve Activity Simulation
topic Medical Physics
Signal Processing
url https://arxiv.org/abs/2408.05934