The analysis of cardio-respiratory signals and cerebral autoregulation based on CO2 reactivity with healthy subjects and Parkinson's patients

Shyan-Lung Lin; Andy Ying-Chi Liao; Shoou-Jeng Yeh; Jer-Yan Lin

doi:10.3233/THC1069

The analysis of cardio-respiratory signals and cerebral autoregulation based on CO2 reactivity with healthy subjects and Parkinson's patients

Technol Health Care. 2015 Sep 10. doi: 10.3233/THC1069. Online ahead of print.

Authors

Shyan-Lung Lin^{1

2}, Andy Ying-Chi Liao³, Shoou-Jeng Yeh⁴, Jer-Yan Lin⁵

Affiliations

¹ Department of Information Communication, MingDao University, Taiwan.
² Department of Automatic Control Engineering, Feng Chia University, Taiwan.
³ Graduate Institute of Biomedical Electronics and Bioinformatics, National Taiwan University, Taiwan.
⁴ Department of Neurology, Cheng Ching General Hospital, Taichung, Taiwan.
⁵ Department of Statistics, Feng Chia University, Taichung, Taiwan.

PMID: 26409556
DOI: 10.3233/THC1069

Abstract

Current paper focus on Parkinson's patients with autonomic dysfunction and how their interactions between cerebral autoregulation and ventilatory control are affected. The experimental data of dynamic CA assessment from the ANS Laboratory of CCGH was accessed for further processing and analysis. The subjects were classified into the groups of healthy and with Parkinson's disease. Based on the accessed ventilation and CBF data, the percentage changes in ventilation and CBF responses to PETCO2 were examined. To minimize effects of changes in ABP on cerebral vasomotor reactivity (CVMR) estimation, cerebrovascular conductance index (CVCi) was calculated, and CBFV-PETCO2 and CVCi-PETCO2 relationships were quantified by nonlinear logistic regression. The interaction between ventilation responses and CBF autoregulation will be modeled and parameters will be validated.

Keywords: Parkinson's; cerebral autoregulation; cerebral vasomotor reactivity; cerebrovascular conductance index.