Modified Prony's method for tracking and monitoring the effects of autonomic nervous system blockade on heart rate variability

A. Brikou; A. Bezerianos; D. Alexopoulos; P. Polydoropoulos

Modified Prony's method for tracking and monitoring the effects of autonomic nervous system blockade on heart rate variability

A. Brikou, A. Bezerianos, D. Alexopoulos, P. Polydoropoulos

School of Medicine

Research output: Contribution to journal › Conference article › peer-review

3 Scopus citations

Abstract

An advanced spectral analysis technique of good spectral resolution for short data records is introduced and is applied to Heart Rate Variability (HRV) signals. The method, based on an exponential model for the signal and on a new approach to the Prony's spectral method, calculates the power spectrum on a running temporal window. Power Spectrum Density (PSD) is hence obtained in each window of analysis, giving us the capability to follow the dynamics of the spectral parameters (high and low frequency powers). This method was applied to data obtained during Autonomic Nervous System (ANS) blockade (propranolol and atropine administration). The results showed that we can track the time-varying spectral features of the signal and to monitor the influence of ANS blockade on the heart.

Original language	English (US)
Pages (from-to)	453-456
Number of pages	4
Journal	Computers in cardiology
State	Published - Dec 1 1995
Event	Proceedings of the 1995 Conference on Computers in Cardiology - Vienna, Austria Duration: Sep 10 1995 → Sep 13 1995

ASJC Scopus subject areas

Computer Science Applications
Cardiology and Cardiovascular Medicine

Cite this

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title = "Modified Prony's method for tracking and monitoring the effects of autonomic nervous system blockade on heart rate variability",

abstract = "An advanced spectral analysis technique of good spectral resolution for short data records is introduced and is applied to Heart Rate Variability (HRV) signals. The method, based on an exponential model for the signal and on a new approach to the Prony's spectral method, calculates the power spectrum on a running temporal window. Power Spectrum Density (PSD) is hence obtained in each window of analysis, giving us the capability to follow the dynamics of the spectral parameters (high and low frequency powers). This method was applied to data obtained during Autonomic Nervous System (ANS) blockade (propranolol and atropine administration). The results showed that we can track the time-varying spectral features of the signal and to monitor the influence of ANS blockade on the heart.",

author = "A. Brikou and A. Bezerianos and D. Alexopoulos and P. Polydoropoulos",

year = "1995",

month = dec,

day = "1",

language = "English (US)",

pages = "453--456",

journal = "Computing in Cardiology",

issn = "2325-8861",

publisher = "IEEE Computer Society",

note = "Proceedings of the 1995 Conference on Computers in Cardiology ; Conference date: 10-09-1995 Through 13-09-1995",

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TY - JOUR

T1 - Modified Prony's method for tracking and monitoring the effects of autonomic nervous system blockade on heart rate variability

AU - Brikou, A.

AU - Bezerianos, A.

AU - Alexopoulos, D.

AU - Polydoropoulos, P.

PY - 1995/12/1

Y1 - 1995/12/1

N2 - An advanced spectral analysis technique of good spectral resolution for short data records is introduced and is applied to Heart Rate Variability (HRV) signals. The method, based on an exponential model for the signal and on a new approach to the Prony's spectral method, calculates the power spectrum on a running temporal window. Power Spectrum Density (PSD) is hence obtained in each window of analysis, giving us the capability to follow the dynamics of the spectral parameters (high and low frequency powers). This method was applied to data obtained during Autonomic Nervous System (ANS) blockade (propranolol and atropine administration). The results showed that we can track the time-varying spectral features of the signal and to monitor the influence of ANS blockade on the heart.

AB - An advanced spectral analysis technique of good spectral resolution for short data records is introduced and is applied to Heart Rate Variability (HRV) signals. The method, based on an exponential model for the signal and on a new approach to the Prony's spectral method, calculates the power spectrum on a running temporal window. Power Spectrum Density (PSD) is hence obtained in each window of analysis, giving us the capability to follow the dynamics of the spectral parameters (high and low frequency powers). This method was applied to data obtained during Autonomic Nervous System (ANS) blockade (propranolol and atropine administration). The results showed that we can track the time-varying spectral features of the signal and to monitor the influence of ANS blockade on the heart.

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AN - SCOPUS:0029536443

SN - 2325-8861

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JO - Computing in Cardiology

JF - Computing in Cardiology

T2 - Proceedings of the 1995 Conference on Computers in Cardiology

Y2 - 10 September 1995 through 13 September 1995

ER -

Modified Prony's method for tracking and monitoring the effects of autonomic nervous system blockade on heart rate variability

Abstract

ASJC Scopus subject areas

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