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Detecting subclinical diabetic cardiac autonomic neuropathy by analyzing ventricular repolarization dynamics
journal contribution
posted on 2016-01-01, 00:00 authored by M H Imam, Chandan KarmakarChandan Karmakar, H F Jelinek, M Palaniswami, A H KhandokerDetecting subclinical diabetic cardiac autonomic neuropathy by analyzing ventricular repolarization dynamics
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Journal
IEEE Journal of Biomedical and Health InformaticsVolume
20Issue
1Pagination
64 - 72Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INCLocation
United StatesPublisher DOI
ISSN
2168-2194eISSN
2168-2208Language
EnglishPublication classification
C Journal article; C1 Refereed article in a scholarly journalCopyright notice
2015, IEEEUsage 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 DATAVARIABILITYRESPIRATIONECGFREQUENCYIDENTIFICATIONMECHANISMSDIAGNOSISdynamicsECG derived respiration (EDR)ventricular repolarization (VR)
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