Yeungnam Univ J Med.  2001 Jun;18(1):39-50.

Development of Data Acquisition System for Quantification of Autonomic Nervous System Activity and It's Clinic Use

• Shin DG
• Park JS
• Kim YJ
• Shim BS
• Lee SH
• Lee JH

Abstract

BACKGROUND: Power spectrum analysis method is a powerful noninvasive tool for quantifying autonomic nervous system activity. In this paper, we developed a data acquistion system for estimating the activity of the autonomic nervous system by the analysis of heart rate and respiratory rate variability using power spectrum analysis.
MATERIALS AND METHODS
For the detection of QRS peak and measurement of respiratory rate from patient's ECG, we used low-pass filter and impedence method respectively. This system adopt an isolated power for patient's safety. In this system, two output signnals can be obtained: R-R interval(heart rate) and respiration rate time series. Experimental ranges are 30-240 BPM for ECG and 15-80 BPM for respiration.
RESULTS
The system can acquire two signals accurately both in the experimental test using simulator and in real clinical setting.
CONCLUSION
The system developed in this paper if efficient for the acquisition of heart rate and respiration signals. The system will play a role in research area for improving our understanding of the pathophysiologic involvement of the autonomic nervous system in various disease states.

Keyword

Power spectral analysis; Autonomic nervous system; Data acquisition

MeSH Terms

Autonomic Nervous System*
Electrocardiography
Heart Rate
Respiration
Respiratory Rate
Spectrum Analysis