4.6 Article

Design and evaluation of an autonomic nerve monitoring system based on skin sympathetic nerve activity

Journal

BIOMEDICAL SIGNAL PROCESSING AND CONTROL
Volume 76, Issue -, Pages -

Publisher

ELSEVIER SCI LTD
DOI: 10.1016/j.bspc.2022.103681

Keywords

Electrocardiogram (ECG); Skin Sympathetic Nerve Activity (SKNA); Autonomic Nerve Monitoring

Funding

  1. National Natural Science Foundation of China [62171123, 62071241, 81871444, 62001111]
  2. National Key Research and Development Program of China [2019YFE0113800]
  3. Natural Science Foundation of Jiangsu Province of China [BK20190014, BK20192004, BK20200364]

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The proposed portable monitoring system based on skin sympathetic nerve activity (SKNA) allows simultaneous recording of SKNA and electrocardiogram (ECG). By modifying the analog front end (AFE) chip and using filtering and clipping techniques, the system achieves low noise levels and effectively rejects artifacts. Both laboratory and clinical experiments demonstrate the system's good performance and feasibility for autonomic nervous system assessment.
The autonomic nervous system is closely related to cardiovascular diseases (CVDs). Simultaneous non-invasive recording of skin sympathetic nerve activity (SKNA) and electrocardiogram (ECG) is a new method for autonomic nervous system real-time assessment. This study presented a portable monitoring system based on SKNA. A system-level modification by combining a commercial analog front end (AFE) chip with a low-noise first-stage amplifier was implemented to reduce the system noise floor without a high-cost customized chip. An adaptive power-line-interference (PLI) filter and outliers clipping were developed to reject the PLI and motion artifacts in the signal. The laboratory experiment and clinical experiment were conducted to verify the performance and effectiveness of the proposed system. The laboratory results show that the proposed AFE has a much lower noise floor with 0.1 mu V-rms than the reference systems (PowerLab system). Moreover, the correlation coefficient of the envelope of SKNA (eSKNA) is 0.83, and the correlation coefficient of the heart rate variability (HRV) index is 0.99, suggesting a good performance in signal recording. The clinical results show that the proposed system can reflect sympathetic nerve activity significantly before and after anesthesia injection (p < 0.01), indicating its better feasibility in this application scenario than HRV-based devices (p = 0.40). The system achieves a comparable performance to the reference system and satisfactory performance for the autonomic nervous system assessment in clinical application.

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