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

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-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 languageBritish English
Title of host publication2014 8th Conference of the European Study Group on Cardiovascular Oscillations, ESGCO 2014
PublisherIEEE Computer Society
Pages3-4
Number of pages2
ISBN (Print)9781479939695
DOIs
StatePublished - 2014
Event2014 8th Conference of the European Study Group on Cardiovascular Oscillations, ESGCO 2014 - Trento, Italy
Duration: 25 May 201428 May 2014

Publication series

Name2014 8th Conference of the European Study Group on Cardiovascular Oscillations, ESGCO 2014

Conference

Conference2014 8th Conference of the European Study Group on Cardiovascular Oscillations, ESGCO 2014
Country/TerritoryItaly
CityTrento
Period25/05/1428/05/14

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