Statistical Investigation of ECG Signal of Sleep Apnea Patient

1
K.M.Hossain
K.M.Hossain M.Tech
2
Mofazzal H. Khondekar
Mofazzal H. Khondekar
1 Department of Electronics and Instrumentation Engineering

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GJRE Volume 11 Issue F8

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Statistical Investigation of ECG Signal of Sleep Apnea Patient Banner
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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.

Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

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Not applicable for this article.

K.M.Hossain. 2011. \u201cStatistical Investigation of ECG Signal of Sleep Apnea Patient\u201d. Global Journal of Research in Engineering - F: Electrical & Electronic GJRE-F Volume 11 (GJRE Volume 11 Issue F8): .

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Crossref Journal DOI 10.17406/gjre

Print ISSN 0975-5861

e-ISSN 2249-4596

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December 10, 2011

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English

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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.

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Statistical Investigation of ECG Signal of Sleep Apnea Patient

Mofazzal H. Khondekar
Mofazzal H. Khondekar

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