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
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;
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
DOI :
10.1109/IEMBS.2005.1616565