Journal ArticleDOI
Spectral analysis of heart rate variability signal and respiration in diabetic subjects
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TLDR
Methods of processing ECG and respiration signals which aim at detecting parameters whose values may be correlated to normal and diabetic subjects with or without cardiovascular autonomic neuropathy (CAN), and developed spectral parameters seem sensitive enough to differentiate between normal and pathological subjects.Abstract:
The paper deals with methods of processing ECG and respiration signals which aim at detecting parameters whose values may be correlated to normal and diabetic subjects with or without cardiovascular autonomic neuropathy (CAN). Beatto-beat R-R duration values of the ECG and discrete series of respiration are obtained from original signals using a recognition algorithm. Power spectrum analysis (autospectra, cross-spectra and coherence via autoregressive modelling) is carried out on segments of about 200 consecutive cardiac cycles. Spectral parameters of the R-R variability signal are obtained as follows: total power, power of low-frequency (LF) and high-frequency (HF) components, power of the signal which is (or is not) coherent with respiration, in absolute or in percentage values. The experimental protocol considers 40 diabetic patients (21 of whom have diabetic neuropathy) and 14 normals in three different conditions: resting, standing and controlled respiration. The developed spectral parameters seem sensitive enough to differentiate between normal and pathological subjects. These parameters may constitute a quantitative means to be edded to the classical diabetic tests for the diagnosis of cardiovascular autonomic neuropathy.read more
Citations
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Journal ArticleDOI
Heart rate variability: standards of measurement, physiological interpretation and clinical use. Task Force of the European Society of Cardiology and the North American Society of Pacing and Electrophysiology.
Alan John Camm,Marek Malik,J. T. Bigger,G. Breithardt,Sergio Cerutti,Richard J. Cohen,Philippe Coumel,Ernest L. Fallen,H.L. Kennedy,Robert E. Kleiger,Federico Lombardi,Alberto Malliani,Arthur J. Moss,Jeffrey N. Rottman,Georg Schmidt,Peter J. Schwartz,D.H. Singer +16 more
Journal ArticleDOI
Heart rate variability: Origins, methods, and interpretive caveats
Gary G. Berntson,J. Thomas Bigger,Dwain L. Eckberg,Paul Grossman,Peter G. Kaufmann,Marek Malik,Haikady N. Nagaraja,Stephen W. Porges,J. Philip Saul,Peter Stone,Maurots W. Van Der Molen +10 more
TL;DR: In this article, the authors examined the physiological origins and mechanisms of heart rate variability, considered quantitative approaches to measurement, and highlighted important caveats in the interpretation of heart rates variability, and outlined guidelines for research in this area.
Journal ArticleDOI
Heart rate variability
Marek Malik,A. J. Camm +1 more
TL;DR: This chapter will review the methodology ofHRV measurement, the physiological basis of HRV and the factors influencing HRV.
Journal ArticleDOI
Heart Rate Variability.: Standards of Measurement, Physiological Interpretation, and Clinical Use: Task Force of The European Society of Cardiology and the North American Society for Pacing and Electrophysiology
TL;DR: In this paper, the authors reviewed the physiology, technical problems of assessment, and clinical relevance of heart rate variability in patients who have survived an acute myocardial infarction and concluded that heart rate is the single most important predictor of those patients who are at high risk of sudden death or serious ventricular arrhythmias.
Journal ArticleDOI
Heart rate turbulence: standards of measurement, physiological interpretation, and clinical use: International Society for Holter and Noninvasive Electrophysiology Consensus.
Axel Bauer,Marek Malik,Georg Schmidt,Petra Barthel,Hendrik Bonnemeier,Iwona Cygankiewicz,Przemysław Guzik,Federico Lombardi,Alexander Müller,Ali Oto,Raphaël Schneider,Mari A. Watanabe,Dan Wichterle,Wojciech Zareba +13 more
TL;DR: The HRT evaluation has been found appropriate in risk stratification after acute myocardial infarction, risk prediction, and monitoring of disease progression in heart failure, as well as in several other pathologies.
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Journal ArticleDOI
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