Lomb algorithm versus fast fourier transform in heart rate variability analyses of pain in premature infants

Anas Delane; Jorge Bohórquez; Subhanshu Gupta; Martin Schiavenato

doi:10.1109/EMBC.2016.7590857

Lomb algorithm versus fast fourier transform in heart rate variability analyses of pain in premature infants

Anas Delane, Jorge Bohórquez, Subhanshu Gupta, Martin Schiavenato

Biomedical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

5 Scopus citations

Abstract

Heart rate variability analysis is a promising method for measuring pain in premature infants. The Lomb algorithm was adapted and compared with fast Fourier transform (FFT) for the purposes of PSD estimation. Both FFT and the Lomb algorithm had similar low frequency (LF) estimation error rates. However, the Lomb algorithm had a significant smaller error rate than FFT when estimating high frequency (HF). In addition, the ECG signals of two premature infants in the newborn intensive care unit were analyzed while undergoing a routine heel stick, a common painful procedure. The Lomb algorithm performed as expected marking a decrease in both LF and HF power in the presence of pain.

Original language	English (US)
Title of host publication	2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2016
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	944-947
Number of pages	4
ISBN (Electronic)	9781457702204
DOIs	https://doi.org/10.1109/EMBC.2016.7590857
State	Published - Oct 13 2016
Event	38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2016 - Orlando, United States Duration: Aug 16 2016 → Aug 20 2016

Publication series

Name	Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
Volume	2016-October
ISSN (Print)	1557-170X

Other

Other	38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2016
Country	United States
City	Orlando
Period	8/16/16 → 8/20/16

ASJC Scopus subject areas

Signal Processing
Biomedical Engineering
Computer Vision and Pattern Recognition
Health Informatics

Access to Document

10.1109/EMBC.2016.7590857

Fingerprint Dive into the research topics of 'Lomb algorithm versus fast fourier transform in heart rate variability analyses of pain in premature infants'. Together they form a unique fingerprint.

Cite this

Delane, A., Bohórquez, J., Gupta, S., & Schiavenato, M. (2016). Lomb algorithm versus fast fourier transform in heart rate variability analyses of pain in premature infants. In 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2016 (pp. 944-947). [7590857] (Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS; Vol. 2016-October). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/EMBC.2016.7590857

Lomb algorithm versus fast fourier transform in heart rate variability analyses of pain in premature infants. / Delane, Anas; Bohórquez, Jorge; Gupta, Subhanshu; Schiavenato, Martin.

2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2016. Institute of Electrical and Electronics Engineers Inc., 2016. p. 944-947 7590857 (Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS; Vol. 2016-October).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Delane, A, Bohórquez, J, Gupta, S & Schiavenato, M 2016, Lomb algorithm versus fast fourier transform in heart rate variability analyses of pain in premature infants. in 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2016., 7590857, Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS, vol. 2016-October, Institute of Electrical and Electronics Engineers Inc., pp. 944-947, 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2016, Orlando, United States, 8/16/16. https://doi.org/10.1109/EMBC.2016.7590857

Delane A, Bohórquez J, Gupta S, Schiavenato M. Lomb algorithm versus fast fourier transform in heart rate variability analyses of pain in premature infants. In 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2016. Institute of Electrical and Electronics Engineers Inc. 2016. p. 944-947. 7590857. (Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS). https://doi.org/10.1109/EMBC.2016.7590857

Delane, Anas ; Bohórquez, Jorge ; Gupta, Subhanshu ; Schiavenato, Martin. / Lomb algorithm versus fast fourier transform in heart rate variability analyses of pain in premature infants. 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2016. Institute of Electrical and Electronics Engineers Inc., 2016. pp. 944-947 (Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS).

@inproceedings{cd31817ae4ab463ca095a7b3eceb97f1,

title = "Lomb algorithm versus fast fourier transform in heart rate variability analyses of pain in premature infants",

abstract = "Heart rate variability analysis is a promising method for measuring pain in premature infants. The Lomb algorithm was adapted and compared with fast Fourier transform (FFT) for the purposes of PSD estimation. Both FFT and the Lomb algorithm had similar low frequency (LF) estimation error rates. However, the Lomb algorithm had a significant smaller error rate than FFT when estimating high frequency (HF). In addition, the ECG signals of two premature infants in the newborn intensive care unit were analyzed while undergoing a routine heel stick, a common painful procedure. The Lomb algorithm performed as expected marking a decrease in both LF and HF power in the presence of pain.",

author = "Anas Delane and Jorge Boh{\'o}rquez and Subhanshu Gupta and Martin Schiavenato",

year = "2016",

month = oct,

day = "13",

doi = "10.1109/EMBC.2016.7590857",

language = "English (US)",

series = "Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "944--947",

booktitle = "2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2016",

note = "38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2016 ; Conference date: 16-08-2016 Through 20-08-2016",

}

TY - GEN

T1 - Lomb algorithm versus fast fourier transform in heart rate variability analyses of pain in premature infants

AU - Delane, Anas

AU - Bohórquez, Jorge

AU - Gupta, Subhanshu

AU - Schiavenato, Martin

PY - 2016/10/13

Y1 - 2016/10/13

N2 - Heart rate variability analysis is a promising method for measuring pain in premature infants. The Lomb algorithm was adapted and compared with fast Fourier transform (FFT) for the purposes of PSD estimation. Both FFT and the Lomb algorithm had similar low frequency (LF) estimation error rates. However, the Lomb algorithm had a significant smaller error rate than FFT when estimating high frequency (HF). In addition, the ECG signals of two premature infants in the newborn intensive care unit were analyzed while undergoing a routine heel stick, a common painful procedure. The Lomb algorithm performed as expected marking a decrease in both LF and HF power in the presence of pain.

AB - Heart rate variability analysis is a promising method for measuring pain in premature infants. The Lomb algorithm was adapted and compared with fast Fourier transform (FFT) for the purposes of PSD estimation. Both FFT and the Lomb algorithm had similar low frequency (LF) estimation error rates. However, the Lomb algorithm had a significant smaller error rate than FFT when estimating high frequency (HF). In addition, the ECG signals of two premature infants in the newborn intensive care unit were analyzed while undergoing a routine heel stick, a common painful procedure. The Lomb algorithm performed as expected marking a decrease in both LF and HF power in the presence of pain.

UR - http://www.scopus.com/inward/record.url?scp=85009152878&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85009152878&partnerID=8YFLogxK

U2 - 10.1109/EMBC.2016.7590857

DO - 10.1109/EMBC.2016.7590857

M3 - Conference contribution

C2 - 28268480

AN - SCOPUS:85009152878

T3 - Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS

SP - 944

EP - 947

BT - 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2016

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2016

Y2 - 16 August 2016 through 20 August 2016

ER -