Performance Analysis of Stationary and Discrete Wavelet Transform for Action Potential Detection From Sympathetic Nerve Recordings in Humans

被引：7
|
作者：
Salmanpour, Aryan [1 ,2 ]
Brown, Lyndon J. [3 ]
Shoemaker, J. Kevin [2 ,4 ]
机构：
[1] Univ Western Ontario, Sch Kinesiol, Dept Elect & Comp Engn, London, ON N6A 5B9, Canada
[2] Univ Western Ontario, Sch Kinesiol, Neurovasc Res Lab, London, ON N6A 5B9, Canada
[3] Univ Western Ontario, Fac Elect & Comp Engn, London, ON N6A 5B9, Canada
[4] Univ Western Ontario, Fac Physiol & Pharmacol, London, ON N6A 5B9, Canada
来源：
2008 30TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, VOLS 1-8 | 2008年
基金：
加拿大自然科学与工程研究理事会; 加拿大健康研究院;
关键词：
D O I：
10.1109/IEMBS.2008.4649817
中图分类号：
R318 [生物医学工程];
学科分类号：
0831 ;
摘要：
Accurate investigation of the sympathetic nervous system is important in the diagnosis and study of various autonomic and cardiovascular control and disorders. Sympathetic function associated with blood pressure regulation in humans can be evaluated by recording muscle sympathetic nerve activity (MSNA), which is characterised by synchronous neuronal discharges separated by periods of neural silence dominated by colored gaussian noise. In this paper two common methods for detecting filtered action potential in MSNA recordings is compared. These methods are based on stationary wavelet transform (SWT) and discrete wavelet transform (DWT). The performance analysis are evaluated using simulated MSNA using templates extracted from real MSNA recorded from three healthy subjects.
引用
收藏
页码：2932 / +
页数：2
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