Authors:
Chuang-Chien Chiu
1
;
Shoou-Jeng Yeh
2
and
Yi-Chun Kuo
1
Affiliations:
1
Feng Chia University, Taiwan
;
2
Taichung Cheng-Ching General Hospital, Taiwan
Keyword(s):
Cerebral Autoregulation, Diabetics, Power Spectral Density Analysis, Cross-correlation Analysis.
Related
Ontology
Subjects/Areas/Topics:
Applications and Services
;
Biomedical Engineering
;
Biomedical Signal Processing
;
Computer Vision, Visualization and Computer Graphics
;
Medical Image Detection, Acquisition, Analysis and Processing
Abstract:
In this study, we investigate the feasibility of using power spectral density (PSD) analysis and cross-correlation function (CCF) analysis to assess the healthy subjects and diabetics with mild, moderate and severe autonomic neuropathy. Continuous cerebral blood flow velocity (CBFV) was measured using transcranial Doppler ultrasound (TCD), and continuous arterial blood pressure (ABP) was measured using Finapres device under supine, tilt-up and hyperventilation conditions. In PSD analysis, the results revealed that the autonomic nervous balance to normal subjects declined in trend from supine to hyperventilation in comparison with that of diabetics. The CCF analysis of mean ABP (MABP) and mean CBFV (MCBFV) for each group of patients was calculated in three frequency bands, i.e., very low frequency (VLF), low frequency (LF), and high frequency (HF). The maximum peak value of CCF (Max CCF) and its corresponding standard deviation and time lag were obtained. Max CCF values at LF of norma
l subjects and patients with diabetes without autonomic neuropathy in both supine and tilt-up positions were significantly larger than that of diabetics with autonomic neuropathy. Max CCF values gradually increased in hyperventilation at VLF from normal subjects to diabetics without autonomic neuropathy, diabetics with mild autonomic neuropathy, and diabetics with severe autonomic neuropathy.
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