Statistical Investigation of ECG Signal of Sleep Apnea Patient

Statistical Investigation of ECG Signal of Sleep Apnea Patient

Article ID

74DFZ

Statistical Investigation of ECG Signal of Sleep Apnea Patient

Mofazzal H. Khondekar

DOI

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Abstract

The Hurst Exponent of the time series of a normal patient and apneal patient suggest that they are anti-persistent and the later has more self similarity compared to the former. It has been established that they are AR process and nonstationary. The Semblance analysis suggests strong correlation both positive and negative between them. Tentative mathematical models of the normal an apneal patient has also been suggested using Yule Walker method.

Statistical Investigation of ECG Signal of Sleep Apnea Patient

Authors

Mofazzal H. Khondekar

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References

How to Cite

K.M.Hossain. 2011. “. Global Journal of Research in Engineering – F: Electrical & Electronic GJRE-F Volume 11 (GJRE Volume 11 Issue F8): .

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Journal Specifications

Crossref Journal DOI 10.17406/gjre

Print ISSN 0975-5861

e-ISSN 2249-4596

GJRE Volume 11 Issue F8
Pg. 15- 20

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Submission Received November 10, 2011
Accepted December 2, 2011
Published December 17, 2011

Keywords

autocorrelation ECG Hurst exponent partial autocorrelation Semblance wavelet

Article Matrices

Total Score: 101

Country: Unknown

Subject: Global Journal of Research in Engineering - F: Electrical & Electronic

Authors: Mofazzal H. Khondekar (PhD/Dr. count: 0)

View Count (all-time): 205

Total Views (Real + Logic): 5635

Total Downloads (simulated): 2858

Publish Date: 2011 12, Sat

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Total Views: 5635

Total Downloads: 2858

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