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Detecting subclinical diabetic cardiac autonomic neuropathy by analyzing ventricular repolarization dynamics
Version 2 2024-06-04, 04:20
Version 1 2015-08-18, 15:40
journal contribution
posted on 2024-06-04, 04:20 authored by MH Imam, Chandan KarmakarChandan Karmakar, HF Jelinek, M Palaniswami, AH KhandokerDetecting subclinical diabetic cardiac autonomic neuropathy by analyzing ventricular repolarization dynamics
History
Journal
IEEE Journal of Biomedical and Health InformaticsVolume
20Pagination
64-72Location
United StatesPublisher DOI
ISSN
2168-2194eISSN
2168-2208Language
EnglishPublication classification
C Journal article, C1 Refereed article in a scholarly journalCopyright notice
2015, IEEEIssue
1Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INCUsage metrics
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No categories selectedKeywords
Science & TechnologyTechnologyLife Sciences & BiomedicineComputer Science, Information SystemsComputer Science, Interdisciplinary ApplicationsMathematical & Computational BiologyMedical InformaticsComputer ScienceCardiac autonomic neuropathy (CAN)couplingECG-derived respiration (EDR)heart rate variability (HRV)linear parametric modelingsubclinical CANventricular repolarization (VR) dynamicsHEAD-UP TILTQT INTERVALSURROGATE DATAVARIABILITYRESPIRATIONECGFREQUENCYIDENTIFICATIONMECHANISMSDIAGNOSISCardiac Autonomic Neuropathy (CAN)dynamicsECG derived respiration (EDR)ventricular repolarization (VR)970109 Expanding Knowledge in Engineering920203 Diagnostic Methods090609 Signal Processing090399 Biomedical Engineering not elsewhere classifiedPattern Recognition and Data AnalyticsCentre for Pattern Recognition and Data Analytics4003 Biomedical engineering4006 Communications engineering
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