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

Anas Delane, Jorge Bohorquez, Subhanshu Gupta, Martin Schiavenato

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

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 languageEnglish (US)
Title of host publication2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages944-947
Number of pages4
Volume2016-October
ISBN (Electronic)9781457702204
DOIs
StatePublished - Oct 13 2016
Event38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2016 - Orlando, United States
Duration: Aug 16 2016Aug 20 2016

Other

Other38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2016
CountryUnited States
CityOrlando
Period8/16/168/20/16

Fingerprint

Fourier Analysis
Premature Infants
Fast Fourier transforms
Heart Rate
Pain
Neonatal Intensive Care
Intensive care units
Frequency estimation
Heel
Neonatal Intensive Care Units
Electrocardiography

ASJC Scopus subject areas

  • Signal Processing
  • Biomedical Engineering
  • Computer Vision and Pattern Recognition
  • Health Informatics

Cite this

Delane, A., Bohorquez, 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 (Vol. 2016-October, pp. 944-947). [7590857] 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; Bohorquez, Jorge; Gupta, Subhanshu; Schiavenato, Martin.

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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Delane, A, Bohorquez, 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. vol. 2016-October, 7590857, 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, Bohorquez 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. Vol. 2016-October. Institute of Electrical and Electronics Engineers Inc. 2016. p. 944-947. 7590857 https://doi.org/10.1109/EMBC.2016.7590857
Delane, Anas ; Bohorquez, 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. Vol. 2016-October Institute of Electrical and Electronics Engineers Inc., 2016. pp. 944-947
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