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Please use this identifier to cite or link to this item: http://repository.iitr.ac.in/handle/123456789/7629
Title: Optimal Lomb transform variant in HRV assessment
Authors: Saini B.S.
Singh D.
Kumar V.
Published in: International Journal of Medical Engineering and Informatics
Abstract: This study used to compare the performance of Lomb, fast Lomb and averaged Lomb on PSD estimates to examine the systematic differences for: 1 frequency and amplitudes distortions 2 size of RR-interval series 3 computational time. The PSD estimates realised using non-uniformly sampled RR-interval series are found to be within an error range of 1%, 3% and 40% for averaged Lomb, Lomb and fast Lomb transforms respectively, for sine wave model, while 30%, 60% and 80% when simulations were carried using IPFM model, with respect to FFT-based estimates of uniformly sampled data. The computational time for PSD using averaged Lomb transform is quite higher (over ten times in case of sine wave model and 100 times in case of IPFM model) to that of fast Lomb transform and lies in approximately same range, but slightly higher than that for Lomb transform. © 2010 Inderscience Enterprises Ltd.
Citation: International Journal of Medical Engineering and Informatics (2010), 2(2): 177-194
URI: https://doi.org/10.1504/IJMEI.2010.031519
http://repository.iitr.ac.in/handle/123456789/7629
Issue Date: 2010
Publisher: Inderscience Publishers
Keywords: HRV
Lomb transform
Spectral distortion
Trend line
ISSN: 17550653
Author Scopus IDs: 56699726600
57214416385
25646515800
Author Affiliations: Saini, B.S., Dr. B.R. Ambedker National Institute of Technology, Jalandhar 144011, Punjab, India
Singh, D., Dr. B.R. Ambedker National Institute of Technology, Jalandhar 144011, Punjab, India
Kumar, V., Electrical Engineering Department, Indian Institute of Technology, Roorkee 247667, UA, India
Corresponding Author: Singh, D.; Dr. B.R. Ambedker National Institute of Technology, Jalandhar 144011, Punjab, India; email: drdilbag@gmail.com
Appears in Collections:Journal Publications [EE]

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