Power Spectral Analysis of Short-Term Heart Rate Variability in Healthy and Arrhythmia Subjects by the Adaptive Continuous Morlet Wavelet Transform
Journal Title: Applied Medical Informatics - Year 2017, Vol 39, Issue 3
Abstract
Power spectral analysis of short-term heart rate variability (HRV) can provide instant valuable information to understand the functioning of autonomic control over the cardiovascular system. In this study, an adaptive continuous Morlet wavelet transform (ACMWT) method has been used to describe the time-frequency characteristics of the HRV using band power spectra and the median value of interquartile range. Adaptation of the method was based on the measurement of maximum energy concentration. The ACMWT has been validated on synthetic signals (i.e. stationary, non-stationary as slow varying and fast changing frequency with time) modeled as closest to dynamic changes in HRV signals. This method has been also tested in the presence of additive white Gaussian noise (AWGN) to show its robustness towards the noise. From the results of testing on synthetic signals, the ACMWT was found to be an enhanced energy concentration estimator for assessment of power spectral of short-term HRV time series compared to adaptive Stockwell transform (AST), adaptive modified Stockwell transform (AMST), standard continuous Morlet wavelet transform (CMWT) and Stockwell transform (ST) estimators at statistical significance level of 5%. Further, the ACMWT was applied to real HRV data from Fantasia and MIT-BIH databases, grouped as healthy young group (HYG), healthy elderly group (HEG), arrhythmia controlled medication group (ARCMG), and supraventricular tachycardia group (SVTG) subjects. The global results demonstrate that spectral indices of low frequency power (LFp) and high frequency power (HFp) of HRV were decreased in HEG compared to HYG subjects (p<0.0001). While LFp and HFp indices were increased in ARCMG compared to HEG (p<0.00001). The LFp and HFp components of HRV obtained from SVTG were reduced compared to other group subjects (p<0.00001).
Authors and Affiliations
Ram SINGH, Barjinder SAINI, Ramesh SUNKARIA
Keywords
Related Articles
- EP ID EP655014
- DOI -
- Views 68
- Downloads 0
Prevalence of Metabolic Syndrome in an Adult Population from Târgu Jiu
[i]Objective[/i]: The prevalence of the metabolic syndrome is rapidly increasing worldwide and in Romania, leading to increased morbidity and mortality due to type 2 diabetes mellitus (T2DM) and cardiovascular disease (C...
Doctors’ access and dissemination of medical information through social media
Aim: The purpose of the study was to analyze the way in which doctors, in contract with the Health Insurance House in Romania use social media (SM) in accessing and disseminating medical information. Material and method:...
The Level of Computer Use and the Degree of the Acceptance of Informatics Applied in Medical Research
Young medical graduates are bound to become researchers, as medical science implies constant studying. Documenting, collecting and processing medical data involve a certain degree of computer literacy. The development of...
Direct and Indirect Employee Questionnaires for Assessing Patient Safety in Saudi Hospitals
Aim: This paper provides information on the reliability and validity of direct and indirect employee questionnaires developed in a study of patient safety that examines the impact of human engineering intervention on bot...
Securing PHP written medical websites
Medical websites, as well as patient data, and user data on medical websites, have to be secured, and effort should be put to increase the privacy of the users. PHP is one of the most used scripting languages for website...