Wavelet transform analysis of vibroarthrographic (VAG) signals obtained during dynamic knee movement

Y. T. Zhang; W. A. Rolston; R. M. Rangayyan; C. B. Frank; G. D. Bell

doi:10.1109/TFTSA.1992.274194

Wavelet transform analysis of vibroarthrographic (VAG) signals obtained during dynamic knee movement

Y. T. Zhang, W. A. Rolston, R. M. Rangayyan, C. B. Frank, G. D. Bell

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

1 Citation (Scopus)

Abstract

The vibroarthrographic (VAG) signal can be measured on the skin surface of human knee joints during their relative movements. The nonstationary nature of the VAG signal makes frequency domain analysis using conventional Fourier methods difficult. Wavelet transform (WT) analysis is proposed. Results show that the method of multiresolution decomposition can localize events in the joint angle (time) and scale (frequency) planes. This dual localization property of the WT is particularly useful in studying VAG signals, where frequency spectra at various joint angles are required for diagnostic purposes.

Original language	English
Title of host publication	Proceedings of the IEEE-SP International Symposium on Time-Frequency and Time-Scale Analysis
Publisher	IEEE
Pages	235-238
ISBN (Print)	0780308050, 9780780308053
DOIs	https://doi.org/10.1109/TFTSA.1992.274194
Publication status	Published - 1992
Externally published	Yes
Event	1992 IEEE-SP International Symposium on Time-Frequency and Time-Scale Analysis - Victoria, Canada Duration: 4 Oct 1992 → 6 Oct 1992

Publication series

Name	Proceedings of the IEEE-SP International Symposium on Time-Frequency and Time-Scale Analysis

Conference

Conference	1992 IEEE-SP International Symposium on Time-Frequency and Time-Scale Analysis
Place	Canada
City	Victoria
Period	4/10/92 → 6/10/92

Bibliographical note

Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].

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10.1109/TFTSA.1992.274194

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Zhang, Y. T., Rolston, W. A., Rangayyan, R. M., Frank, C. B., & Bell, G. D. (1992). Wavelet transform analysis of vibroarthrographic (VAG) signals obtained during dynamic knee movement. In Proceedings of the IEEE-SP International Symposium on Time-Frequency and Time-Scale Analysis (pp. 235-238). Article 274194 (Proceedings of the IEEE-SP International Symposium on Time-Frequency and Time-Scale Analysis). IEEE. https://doi.org/10.1109/TFTSA.1992.274194

Zhang, Y. T. ; Rolston, W. A. ; Rangayyan, R. M. et al. / Wavelet transform analysis of vibroarthrographic (VAG) signals obtained during dynamic knee movement. Proceedings of the IEEE-SP International Symposium on Time-Frequency and Time-Scale Analysis. IEEE, 1992. pp. 235-238 (Proceedings of the IEEE-SP International Symposium on Time-Frequency and Time-Scale Analysis).

@inproceedings{791feaef0fa34cea89f983004336cb58,

title = "Wavelet transform analysis of vibroarthrographic (VAG) signals obtained during dynamic knee movement",

abstract = "The vibroarthrographic (VAG) signal can be measured on the skin surface of human knee joints during their relative movements. The nonstationary nature of the VAG signal makes frequency domain analysis using conventional Fourier methods difficult. Wavelet transform (WT) analysis is proposed. Results show that the method of multiresolution decomposition can localize events in the joint angle (time) and scale (frequency) planes. This dual localization property of the WT is particularly useful in studying VAG signals, where frequency spectra at various joint angles are required for diagnostic purposes.",

author = "Zhang, {Y. T.} and Rolston, {W. A.} and Rangayyan, {R. M.} and Frank, {C. B.} and Bell, {G. D.}",

note = "Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].; 1992 IEEE-SP International Symposium on Time-Frequency and Time-Scale Analysis ; Conference date: 04-10-1992 Through 06-10-1992",

year = "1992",

doi = "10.1109/TFTSA.1992.274194",

language = "English",

isbn = "0780308050",

series = "Proceedings of the IEEE-SP International Symposium on Time-Frequency and Time-Scale Analysis",

publisher = "IEEE",

pages = "235--238",

booktitle = "Proceedings of the IEEE-SP International Symposium on Time-Frequency and Time-Scale Analysis",

address = "United States",

}

Zhang, YT, Rolston, WA, Rangayyan, RM, Frank, CB & Bell, GD 1992, Wavelet transform analysis of vibroarthrographic (VAG) signals obtained during dynamic knee movement. in Proceedings of the IEEE-SP International Symposium on Time-Frequency and Time-Scale Analysis., 274194, Proceedings of the IEEE-SP International Symposium on Time-Frequency and Time-Scale Analysis, IEEE, pp. 235-238, 1992 IEEE-SP International Symposium on Time-Frequency and Time-Scale Analysis, Victoria, Canada, 4/10/92. https://doi.org/10.1109/TFTSA.1992.274194

Wavelet transform analysis of vibroarthrographic (VAG) signals obtained during dynamic knee movement. / Zhang, Y. T.; Rolston, W. A.; Rangayyan, R. M. et al.
Proceedings of the IEEE-SP International Symposium on Time-Frequency and Time-Scale Analysis. IEEE, 1992. p. 235-238 274194 (Proceedings of the IEEE-SP International Symposium on Time-Frequency and Time-Scale Analysis).

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

TY - GEN

T1 - Wavelet transform analysis of vibroarthrographic (VAG) signals obtained during dynamic knee movement

AU - Zhang, Y. T.

AU - Rolston, W. A.

AU - Rangayyan, R. M.

AU - Frank, C. B.

AU - Bell, G. D.

N1 - Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].

PY - 1992

Y1 - 1992

N2 - The vibroarthrographic (VAG) signal can be measured on the skin surface of human knee joints during their relative movements. The nonstationary nature of the VAG signal makes frequency domain analysis using conventional Fourier methods difficult. Wavelet transform (WT) analysis is proposed. Results show that the method of multiresolution decomposition can localize events in the joint angle (time) and scale (frequency) planes. This dual localization property of the WT is particularly useful in studying VAG signals, where frequency spectra at various joint angles are required for diagnostic purposes.

AB - The vibroarthrographic (VAG) signal can be measured on the skin surface of human knee joints during their relative movements. The nonstationary nature of the VAG signal makes frequency domain analysis using conventional Fourier methods difficult. Wavelet transform (WT) analysis is proposed. Results show that the method of multiresolution decomposition can localize events in the joint angle (time) and scale (frequency) planes. This dual localization property of the WT is particularly useful in studying VAG signals, where frequency spectra at various joint angles are required for diagnostic purposes.

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DO - 10.1109/TFTSA.1992.274194

M3 - RGC 32 - Refereed conference paper (with host publication)

SN - 0780308050

SN - 9780780308053

T3 - Proceedings of the IEEE-SP International Symposium on Time-Frequency and Time-Scale Analysis

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EP - 238

BT - Proceedings of the IEEE-SP International Symposium on Time-Frequency and Time-Scale Analysis

PB - IEEE

T2 - 1992 IEEE-SP International Symposium on Time-Frequency and Time-Scale Analysis

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ER -

Zhang YT, Rolston WA, Rangayyan RM, Frank CB, Bell GD. Wavelet transform analysis of vibroarthrographic (VAG) signals obtained during dynamic knee movement. In Proceedings of the IEEE-SP International Symposium on Time-Frequency and Time-Scale Analysis. IEEE. 1992. p. 235-238. 274194. (Proceedings of the IEEE-SP International Symposium on Time-Frequency and Time-Scale Analysis). doi: 10.1109/TFTSA.1992.274194

Wavelet transform analysis of vibroarthrographic (VAG) signals obtained during dynamic knee movement

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