NDLI: Detrended Fluctuation Analysis: A Suitable Long-term Measure of HRV Signals in Children with Sleep Disordered Breathing

Content Provider	IEEE Xplore Digital Library
Author	Krishnam, R. Nazeran, H. Chatlapalli, S. Haltiwanger, E. Pamula, Y.
Copyright Year	2005
Description	Author affiliation: Dept. of Electr. & Comput. Eng., Texas Univ., El Paso, TX (Krishnam, R.; Nazeran, H.; Chatlapalli, S.)
Abstract	On the body surface the electric field generated by the cardiac muscles consists of electric potential maxima and minima that increase and decrease during each cardiac cycle. The recording of these electric potentials as a function of time is called electrocardiography, and the resulting signal is called the electrocardiogram (ECG). The ECG signal is used extensively as a low cost diagnostic tool to provide information concerning the heart's state of health. Reliable and accurate detection of the QRS complex and R wave peak in ECG signals is essential in computer-based ECG analysis. In this paper we evaluate the significance of detrended fluctuation analysis (DFA) for studying heart rate variability in children with sleep disordered breathing. An enhanced Hilbert transform (EHT) algorithm was used to derive the heart rate variability (HRV) signal. We compare the DFA values with approximate entropy and Poincare plots of HRV signals as these are very useful in characterization and visualization of HRV data. Our data demonstrated differences in DFA parameters between periods of normal and abnormal breathing and also between sleep stages. These results suggest that DFA is suitable for the long-term analysis of non-stationary time series such as HRV signals and may also be applied in the detection of sleep disordered breathing
Starting Page	1174
Ending Page	1177
File Size	532904
Page Count	4
File Format	PDF
ISBN	0780387414
DOI	10.1109/IEMBS.2005.1616632
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-01-17
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Fluctuations Signal analysis Heart rate variability Sleep Electrocardiography Doped fiber amplifiers Electric potential Muscles Costs Pediatrics Biomedical Signal Procssing Detrended Fluctuation Analysis (DFA) Sleep Apnea Heart Rate Variability (HRV)
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Attentional and emotional tasks: gender differences in heart rate variability detected by short-term detrended fluctuation analysis

Detrended fluctuation analysis and spectral analysis of heart rate variability for sleep stage and sleep apnea identification

Nonlinear Dynamics Analysis of Heart Rate Variability Signals to Detect Sleep Disordered Breathing in Children

Sensitivity of detrended fluctuation analysis applied to heart rate variability of preterm newborns

Diagnosis algorithm of sleep apnea syndrome

Detrended fluctuation analysis of heart rate by means of symbolic series

Accurate derivation of heart rate variability signal for detection of sleep disordered breathing in children

Heart rate chaos in obstructive sleep apnea in children

Comparison of Detrended Fluctuation Analysis and Spectral Analysis for Heart Rate Variability in Sleep and Sleep Apnea

Detrended Fluctuation Analysis: A Suitable Long-term Measure of HRV Signals in Children with Sleep Disordered Breathing

Similar Documents

Attentional and emotional tasks: gender differences in heart rate variability detected by short-term detrended fluctuation analysis

Detrended fluctuation analysis and spectral analysis of heart rate variability for sleep stage and sleep apnea identification

Nonlinear Dynamics Analysis of Heart Rate Variability Signals to Detect Sleep Disordered Breathing in Children

Sensitivity of detrended fluctuation analysis applied to heart rate variability of preterm newborns

Diagnosis algorithm of sleep apnea syndrome

Detrended fluctuation analysis of heart rate by means of symbolic series

Accurate derivation of heart rate variability signal for detection of sleep disordered breathing in children

Heart rate chaos in obstructive sleep apnea in children

Comparison of Detrended Fluctuation Analysis and Spectral Analysis for Heart Rate Variability in Sleep and Sleep Apnea

Detrended Fluctuation Analysis: A Suitable Long-term Measure of HRV Signals in Children with Sleep Disordered Breathing