DocumentCode
1605098
Title
Selective Quantification of Cardiac Sympathetic and Parasympathetic Nervous Function from Non-Invasive Measurements
Author
Elahi, R.I. ; Mukkamala, R.
Author_Institution
Dept. of Electr. & Comput. Eng., Michigan State Univ., East Lansing, MI
fYear
2006
Firstpage
921
Lastpage
924
Abstract
Power spectral analysis of spontaneous heart rate (HR) variability is a popular and convenient technique for quantifying cardiac autonomic nervous function. While this technique can provide an effective index of parasympathetic nervous function, it cannot provide a pure index of beta-sympathetic nervous function. We have developed a non-invasive technique for selectively quantifying cardiac sympathetic and parasympathetic nervous function by employing a multi-signal approach in conjunction with prior physiologic knowledge. We have tested the technique in 14 human subjects under pharmacological autonomic blockade, and our results show that the technique can substantially outperform traditional HR power spectral indices in terms of predicting the known drug effects
Keywords
drugs; electrocardiography; medical signal processing; neurophysiology; spectral analysis; HR power spectral indices; beta-sympathetic nervous function; cardiac autonomic nervous function; cardiac parasympathetic nervous function; cardiac sympathetic nervous function; drug effects; multisignal approach; noninvasive measurements; pharmacological autonomic blockade; power spectral analysis; spontaneous heart rate variability; Autonomic nervous system; Electrocardiography; Fluctuations; Frequency; Hafnium; Heart rate; Humans; Parasympathetic nervous system; Power measurement; Spectral analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Engineering in Medicine and Biology Society, 2005. IEEE-EMBS 2005. 27th Annual International Conference of the
Conference_Location
Shanghai
Print_ISBN
0-7803-8741-4
Type
conf
DOI
10.1109/IEMBS.2005.1616565
Filename
1616565
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