DocumentCode
1619958
Title
Poincaré plot indexes of pulse rate variability capture dynamic adaptations after reactive hyperemia in type 2 diabetic patients
Author
Po-Chun Hsu ; Hou-Jun Wang ; Hsien-Tsai Wu
Author_Institution
Electr. Eng. Dept., Nat. Dong Hwa Univ., Hualien, Taiwan
fYear
2012
Firstpage
1
Lastpage
4
Abstract
Despite known contributions of type 2 diabetes mellitus to atherosclerosis and autonomic nervous dysfunction, tool for simultaneous evaluation of these two disease entities has not been reported. Using our previously validated air pressure sensing system (APSS) for atherosclerosis assessment, peak-peak intervals (PPIs) of wrist arterial waveforms from baseline and reactive hyperemia (RH) were obtained. Through data analyzing with heart rate variability frequency domain and non-linear Poincaré method, the autonomic nervous function of healthy upper middle-aged subjects (Group 1, n=21), and type 2 diabetic patients (Group 2, n=25) were assessed. Using SD1/SD2 ratio (SSR1-10), PPIs of the same dividual were compared before and after RH induction. Reduced SSR1-10 was noted only in diabetic patients (p=0.004). However, no difference in low/high frequency power ratio was noted among different groups. In conclusion, our results demonstrated failure of diabetic patients in restoring baseline autonomic nervous function after RH. APSS, therefore, is also validated for autonimic nervous dysfunction evaluation in diabetic subjects.
Keywords
bioelectric phenomena; biomedical measurement; cardiology; data analysis; diseases; haemodynamics; medical signal detection; medical signal processing; neurophysiology; nonlinear dynamical systems; piezoresistive devices; pressure sensors; waveform analysis; APSS; PPI; Poincaré plot indexes; RH induction; SD1-SD2 ratio; SSR1-10; air pressure sensing system; atherosclerosis assessment; autonomic nervous dysfunction; autonomic nervous function; baseline hyperemia; capture dynamic adaptations; data analysis; diabetic subjects; disease entities; healthy upper middle-aged subjects; heart rate variability frequency domain; nonlinear Poincaré method; peak-peak intervals; pulse rate variability; reactive hyperemia; simultaneous evaluation tools; type 2 diabetes mellitus; type 2 diabetic patients; wrist arterial waveforms; Atherosclerosis; Diabetes; Frequency-domain analysis; Heart rate variability; Resonant frequency; Sensitivity; Wrist; Poincaré method; SD1/SD2 ratio (SSR.); Type 2 diabetes; air pressure sensing system (APSS); pulse rate variability;
fLanguage
English
Publisher
ieee
Conference_Titel
Electron Devices and Solid State Circuit (EDSSC), 2012 IEEE International Conference on
Conference_Location
Bangkok
Print_ISBN
978-1-4673-5694-7
Type
conf
DOI
10.1109/EDSSC.2012.6482874
Filename
6482874
Link To Document