Comparison of methods to analyze the antropyloric electrical activity

Ata Akin; Tayfun Akgul; Hun H. Sun; W. Y. Chey; K. Y. Lee

Comparison of methods to analyze the antropyloric electrical activity

Ata Akin^*, Tayfun Akgul, Hun H. Sun, W. Y. Chey, K. Y. Lee

^*Corresponding author for this work

Drexel University

Research output: Contribution to journal › Conference article › peer-review

1 Citation (Scopus)

Abstract

There is an ongoing debate about the frequency content of the gastric electrical signals, acquired both serosally or cutaneously. Changes that occur in the frequency content of the serosal electrical activity during gastric motility are not yet fully understood. We present here the Continuous Wavelet Transform Analysis (CWTA) as a tool to obtain the time-frequency distribution of the serosal signal to monitor such changes. The results obtained by CWTA are also compared with two other methods, namely the Autoregressive (AR) model and the bispectrum based method. Our aim is to validate that the CWTA method achieves a higher level of accuracy in evaluating and tracking these changes in the serosal data compared to conventional methods.

Original language	English
Pages (from-to)	1602-1605
Number of pages	4
Journal	Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
Volume	4
Publication status	Published - 1997
Externally published	Yes
Event	Proceedings of the 1997 19th Annual International Conference of the IEEE Engineering in Medicine and Biology Society - Chicago, IL, USA Duration: 30 Oct 1997 → 2 Nov 1997

Cite this

@article{707e52f3a22f4f12a619b26ad7e4cefb,

title = "Comparison of methods to analyze the antropyloric electrical activity",

abstract = "There is an ongoing debate about the frequency content of the gastric electrical signals, acquired both serosally or cutaneously. Changes that occur in the frequency content of the serosal electrical activity during gastric motility are not yet fully understood. We present here the Continuous Wavelet Transform Analysis (CWTA) as a tool to obtain the time-frequency distribution of the serosal signal to monitor such changes. The results obtained by CWTA are also compared with two other methods, namely the Autoregressive (AR) model and the bispectrum based method. Our aim is to validate that the CWTA method achieves a higher level of accuracy in evaluating and tracking these changes in the serosal data compared to conventional methods.",

author = "Ata Akin and Tayfun Akgul and Sun, {Hun H.} and Chey, {W. Y.} and Lee, {K. Y.}",

year = "1997",

language = "English",

volume = "4",

pages = "1602--1605",

journal = "Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings",

issn = "0589-1019",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

note = "Proceedings of the 1997 19th Annual International Conference of the IEEE Engineering in Medicine and Biology Society ; Conference date: 30-10-1997 Through 02-11-1997",

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TY - JOUR

T1 - Comparison of methods to analyze the antropyloric electrical activity

AU - Akin, Ata

AU - Akgul, Tayfun

AU - Sun, Hun H.

AU - Chey, W. Y.

AU - Lee, K. Y.

PY - 1997

Y1 - 1997

N2 - There is an ongoing debate about the frequency content of the gastric electrical signals, acquired both serosally or cutaneously. Changes that occur in the frequency content of the serosal electrical activity during gastric motility are not yet fully understood. We present here the Continuous Wavelet Transform Analysis (CWTA) as a tool to obtain the time-frequency distribution of the serosal signal to monitor such changes. The results obtained by CWTA are also compared with two other methods, namely the Autoregressive (AR) model and the bispectrum based method. Our aim is to validate that the CWTA method achieves a higher level of accuracy in evaluating and tracking these changes in the serosal data compared to conventional methods.

AB - There is an ongoing debate about the frequency content of the gastric electrical signals, acquired both serosally or cutaneously. Changes that occur in the frequency content of the serosal electrical activity during gastric motility are not yet fully understood. We present here the Continuous Wavelet Transform Analysis (CWTA) as a tool to obtain the time-frequency distribution of the serosal signal to monitor such changes. The results obtained by CWTA are also compared with two other methods, namely the Autoregressive (AR) model and the bispectrum based method. Our aim is to validate that the CWTA method achieves a higher level of accuracy in evaluating and tracking these changes in the serosal data compared to conventional methods.

UR - http://www.scopus.com/inward/record.url?scp=0031294680&partnerID=8YFLogxK

M3 - Conference article

AN - SCOPUS:0031294680

SN - 0589-1019

VL - 4

SP - 1602

EP - 1605

JO - Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings

JF - Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings

T2 - Proceedings of the 1997 19th Annual International Conference of the IEEE Engineering in Medicine and Biology Society

Y2 - 30 October 1997 through 2 November 1997

ER -

Comparison of methods to analyze the antropyloric electrical activity

Abstract

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