https://scholars.lib.ntu.edu.tw/handle/123456789/515644
Title: | Detrended fluctuation analyses of short-term heart rate variability in surgical intensive care units | Authors: | Yeh R.-G. Shieh J.-S. YIN-YI HAN Wang Y.-J. Tseng S.-C. |
Issue Date: | 2006 | Journal Volume: | 18 | Journal Issue: | 2 | Start page/Pages: | 67-72 | Source: | Biomedical Engineering - Applications, Basis and Communications | Abstract: | We examine the dynamics of complex physiologic fluctuations using methods developed very recently in statistical physics. The method based on detrended fluctuation analysis (DFA) has been used to investigate the profile of different types of physiologic states under long term (i.e., 24 hr) analysis of heart rate variability (HRV). In this paper, this method to investigate the output of central physiologic control system under short term (i.e., 1 hr) of HRV in surgical intensive care units (SICU). Electrocardiograph (ECG) signals lasting around 1 hr were collected from ten college student volunteers as group A. Ten computes-generates white noise signals as group B also provided ECG signals lasting around 1 hr. Finally, seventeen patients representing 37 cases undergoing different types of neurosurgery were studied as group C. From this group, 25 cases were selected from IS patients with brain injury end 12 cases were selected from 2 patients with septicemia. Group A and B were used as high and low limits of baseline for comparison with pathologic states in the SICU. The & values of DFA of groups A, B, and C were 0.958 ± 0.034, 0.521 ± 0.010, and 0.815 ± 0.183, respectively. It was found that the α value of patients in the SICU was significantly lower (P < 0.05) than that of healthy volunteers and significantly higher (P < 0.05) than white noise signals. Hence, it can be concluded that α values based on the DFA statistical concept can clearly distinguish pathologic states in SICU patients from the healthy group and from white noise signals. |
URI: | https://scholars.lib.ntu.edu.tw/handle/123456789/515644 | ISSN: | 1016-2372 | DOI: | 10.4015/S1016237206000130 | SDG/Keyword: | Biological organs; Biomedical engineering; Health care; Pathology; Patient monitoring; Students; White noise; Detrended fluctuation analysis (DFA); Heart rate variability (HRV); Rank order statistics; Surgical intensive care units (SICU); Intensive care units; adult; aged; article; clinical article; controlled study; electrocardiography; heart rate variability; human; intensive care unit; noise |
Appears in Collections: | 醫學院附設醫院 (臺大醫院) |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.