NDLI: Statistical assessment of performance of algorithms for detrending RR series

Content Provider	IEEE Xplore Digital Library
Author	Fasano, A. Villani, V.
Copyright Year	2015
Description	Author affiliation: Dipt. di Sci. e Metodi dell'Ing., Univ. degli Studi di Modena e Reggio Emilia, Modena, Italy (Villani, V.) \|\| Fac. of Eng., Univ. Campus Bio-Medico di Roma, Rome, Italy (Fasano, A.)
Abstract	Detrending RR series is a common processing step prior to HRV analysis. Customarily, RR series, which are inherently unevenly sampled, are interpolated and uniformly resampled, thus introducing errors in subsequent HRV analysis. We have recently proposed a novel approach to detrending unevenly sampled series, which is based on the notion of weighted quadratic variation reduction. In this paper, we extensively assess its performance on RR series through a statistical analysis. Numerical results confirm the effectiveness of the approach, which outperforms state-of-the-art methods. Furthermore, it is statistically uniformly better than competing algorithms. A sensitivity analysis shows that it is robust to variations of its controlling parameter. The algorithm is simple and favorable in terms of computational complexity, thus being suitable for long-term HRV analysis. To the best of the authors' knowledge, it is the fastest algorithm for detrending RR series.
Starting Page	3335
Ending Page	3338
File Size	749531
Page Count	4
File Format	PDF
ISSN	1557170X
e-ISBN	9781424492718
DOI	10.1109/EMBC.2015.7319106
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-08-25
Publisher Place	Italy
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Market research Distribution functions Algorithm design and analysis Heart rate variability Robustness Optimized production technology Signal processing algorithms
Content Type	Text
Resource Type	Article
Subject	Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition

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

Evaluation of two detrending techniques for application in Heart Rate Variability

Instantaneous heart rate: Should RR-intervals be resampled?

Pulse rate variability analysis by video using face detection and tracking algorithms

Distribution Entropy (DistEn): A complexity measure to detect arrhythmia from short length RR interval time series

The effect of electrocardiographic lead choice on RR time series

Multi-scale Tone Entropy in differentiating physiologic and synthetic RR time series

Respiratory rate estimation using respiratory sinus arrhythmia from photoplethysmography

Correction of Erroneous and Ectopic Beats Using a Point Process Adaptive Algorithm

Comparison of Heart Rate Variability Signal Features Derived from Electrocardiography and Photoplethysmography in Healthy Individuals

Statistical assessment of performance of algorithms for detrending RR series

Similar Documents

Evaluation of two detrending techniques for application in Heart Rate Variability

Instantaneous heart rate: Should RR-intervals be resampled?

Pulse rate variability analysis by video using face detection and tracking algorithms

Distribution Entropy (DistEn): A complexity measure to detect arrhythmia from short length RR interval time series

The effect of electrocardiographic lead choice on RR time series

Multi-scale Tone Entropy in differentiating physiologic and synthetic RR time series

Respiratory rate estimation using respiratory sinus arrhythmia from photoplethysmography

Correction of Erroneous and Ectopic Beats Using a Point Process Adaptive Algorithm

Comparison of Heart Rate Variability Signal Features Derived from Electrocardiography and Photoplethysmography in Healthy Individuals

Statistical assessment of performance of algorithms for detrending RR series