Multiscale Cross-Approximate Entropy Analysis as a Measurement of Complexity between ECG R-R Interval and PPG Pulse Amplitude Series among the Normal and Diabetic Subjects. (23rd September 2013)

• Record Type: Journal Article
• Authors: Wu, Hsien-Tsai; Lee, Chih-Yuan; Liu, Cyuan-Cin; Liu, An-Bang
• Other Names: Ward Kevin Academic Editor.
• Is Part Of: Computational and mathematical methods in medicine. Volume 2013(2013)
• Publication Date: 2013-09-23
• Subjects: Medicine -- Computer simulation -- Periodicals; Medicine -- Mathematical models -- Periodicals; 610.11
• DOI: 10.1155/2013/231762
• Languages: English
• ISSNs: 1748-670X

Abstract

Abstract : Physiological signals often show complex fluctuation (CF) under the dual influence of temporal and spatial scales, and CF can be used to assess the health of physiologic systems in the human body. This study applied multiscale cross-approximate entropy (MC-ApEn) to quantify the complex fluctuation between R-R intervals series and photoplethysmography amplitude series. All subjects were then divided into the following two groups: healthy upper middle-aged subjects (Group 1, age range: 41–80 years, n = 27 ) and upper middle-aged subjects with type 2 diabetes (Group 2, age range: 41–80 years, n = 24 ). There are significant differences of heart rate variability, LHR, between Groups 1 and 2 (1.94 ± 1.21 versus 1.32 ± 1.00, P = 0.031 ). Results demonstrated differences in sum of large scale MC-ApEn (MC-ApEn LS ) (5.32 ± 0.50 versus 4.74 ± 0.78, P = 0.003 ). This parameter has a good agreement with pulse-pulse interval and pulse amplitude ratio (PAR), a simplified assessment for baroreflex activity. In conclusion, this study employed the MC-ApEn method, integrating multiple temporal and spatial scales, to quantify the complex interaction between the two physical signals. The MC-ApEn LS parameter could accurately reflect disease process in diabetics and might be another way for assessing the autonomic nerve function.