A Mathematical Model for Skin Sympathetic Nerve Activity Simulation

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 0.01µV. 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.

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Publication Details

Journal
Computing in cardiology
Published
2024-12-01
DOI
https://doi.org/10.22489/cinc.2024.239
Primary Topic
Mental Health Research Topics
Type
article
Field-Weighted Citation Impact
0.00
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article

A Mathematical Model for Skin Sympathetic Nerve Activity Simulation

Runwei Lin, Gozewijn Dirk laverman, Ying Wang
Computing in cardiology
Mental Health Research Topics
article

A Mathematical Model for Skin Sympathetic Nerve Activity Simulation

Runwei Lin, Gozewijn Dirk laverman, Ying Wang
article en

Abstract

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 0.01µV. 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.

Computing in cardiologyVol. 51
Openalex Percentile: Top 72%
Mental Health Research Topics
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