Effect of biosignal preprocessing and recording length on clinical decision making for cardiac autonomic neuropathy

Herbert J. Jelinek; Talal Alothman; David J. Cornforth; Kinda Khalaf; Ahsan H. Khandoker

doi:10.1109/ESGCO.2014.6847490

Effect of biosignal preprocessing and recording length on clinical decision making for cardiac autonomic neuropathy

Herbert J. Jelinek
, Talal Alothman
, David J. Cornforth
, Kinda Khalaf
, Ahsan H. Khandoker

Biomedical Engineering & Biotechnology

University of Newcastle

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

10 Scopus citations

Abstract

Early identification of cardiac autonomic neuropathy (CAN) leads to better treatment outcomes. Heart rate variability (HRV) analysis allows identification of CAN but is sensitive to the length of recording and the presence of artifacts and ectopics, requiring preprocessing and consideration of length of recording. RR intervals from 10-second and 5-minute ECG recordings from patients with no CAN, early CAN and definite CAN were preprocessed using adaptive filtering with the controlling parameter c set at 0.2, 0.5 and 0.8, and time and frequency domain HRV analysis applied. Early CAN and definite CAN required different setting of c with respect to the length of recording. The 5-minute recording with c=0.2 provided the best results using RMSSD for normal versus eCAN (p=0.0007) and for eCAN versus dCAN (0.019). Clinically, this has potential use in general practice for screening patients at risk, newly diagnosed with diabetes, or for follow-up during the course of diabetes.

Original language	British English
Title of host publication	2014 8th Conference of the European Study Group on Cardiovascular Oscillations, ESGCO 2014
Publisher	IEEE Computer Society
Pages	3-4
Number of pages	2
ISBN (Print)	9781479939695
DOIs	https://doi.org/10.1109/ESGCO.2014.6847490
State	Published - 2014
Event	2014 8th Conference of the European Study Group on Cardiovascular Oscillations, ESGCO 2014 - Trento, Italy Duration: 25 May 2014 → 28 May 2014

Publication series

Name	2014 8th Conference of the European Study Group on Cardiovascular Oscillations, ESGCO 2014

Conference

Conference	2014 8th Conference of the European Study Group on Cardiovascular Oscillations, ESGCO 2014
Country/Territory	Italy
City	Trento
Period	25/05/14 → 28/05/14

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

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10.1109/ESGCO.2014.6847490

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Jelinek, H. J., Alothman, T., Cornforth, D. J., Khalaf, K., & Khandoker, A. H. (2014). Effect of biosignal preprocessing and recording length on clinical decision making for cardiac autonomic neuropathy. In 2014 8th Conference of the European Study Group on Cardiovascular Oscillations, ESGCO 2014 (pp. 3-4). Article 6847490 (2014 8th Conference of the European Study Group on Cardiovascular Oscillations, ESGCO 2014). IEEE Computer Society. https://doi.org/10.1109/ESGCO.2014.6847490

Jelinek, Herbert J. ; Alothman, Talal ; Cornforth, David J. et al. / Effect of biosignal preprocessing and recording length on clinical decision making for cardiac autonomic neuropathy. 2014 8th Conference of the European Study Group on Cardiovascular Oscillations, ESGCO 2014. IEEE Computer Society, 2014. pp. 3-4 (2014 8th Conference of the European Study Group on Cardiovascular Oscillations, ESGCO 2014).

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title = "Effect of biosignal preprocessing and recording length on clinical decision making for cardiac autonomic neuropathy",

abstract = "Early identification of cardiac autonomic neuropathy (CAN) leads to better treatment outcomes. Heart rate variability (HRV) analysis allows identification of CAN but is sensitive to the length of recording and the presence of artifacts and ectopics, requiring preprocessing and consideration of length of recording. RR intervals from 10-second and 5-minute ECG recordings from patients with no CAN, early CAN and definite CAN were preprocessed using adaptive filtering with the controlling parameter c set at 0.2, 0.5 and 0.8, and time and frequency domain HRV analysis applied. Early CAN and definite CAN required different setting of c with respect to the length of recording. The 5-minute recording with c=0.2 provided the best results using RMSSD for normal versus eCAN (p=0.0007) and for eCAN versus dCAN (0.019). Clinically, this has potential use in general practice for screening patients at risk, newly diagnosed with diabetes, or for follow-up during the course of diabetes.",

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Jelinek, HJ, Alothman, T, Cornforth, DJ, Khalaf, K & Khandoker, AH 2014, Effect of biosignal preprocessing and recording length on clinical decision making for cardiac autonomic neuropathy. in 2014 8th Conference of the European Study Group on Cardiovascular Oscillations, ESGCO 2014., 6847490, 2014 8th Conference of the European Study Group on Cardiovascular Oscillations, ESGCO 2014, IEEE Computer Society, pp. 3-4, 2014 8th Conference of the European Study Group on Cardiovascular Oscillations, ESGCO 2014, Trento, Italy, 25/05/14. https://doi.org/10.1109/ESGCO.2014.6847490

Effect of biosignal preprocessing and recording length on clinical decision making for cardiac autonomic neuropathy. / Jelinek, Herbert J.; Alothman, Talal; Cornforth, David J. et al.
2014 8th Conference of the European Study Group on Cardiovascular Oscillations, ESGCO 2014. IEEE Computer Society, 2014. p. 3-4 6847490 (2014 8th Conference of the European Study Group on Cardiovascular Oscillations, ESGCO 2014).

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

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Jelinek HJ, Alothman T, Cornforth DJ, Khalaf K , Khandoker AH. Effect of biosignal preprocessing and recording length on clinical decision making for cardiac autonomic neuropathy. In 2014 8th Conference of the European Study Group on Cardiovascular Oscillations, ESGCO 2014. IEEE Computer Society. 2014. p. 3-4. 6847490. (2014 8th Conference of the European Study Group on Cardiovascular Oscillations, ESGCO 2014). doi: 10.1109/ESGCO.2014.6847490

Effect of biosignal preprocessing and recording length on clinical decision making for cardiac autonomic neuropathy

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