{"title":"肌电信号的小波谱分析","authors":"S. Karlsson, Jun Yu, M. Akay","doi":"10.1109/ICBEM.1998.666381","DOIUrl":null,"url":null,"abstract":"The wavelet packet method is introduced as an alternative method for spectral analysis of surface myoelectric (ME) signals. Both computer synthesised and real myoelectric signals during static contractions are investigated, and the results show that the wavelet packet method performs equally well as the Fourier method. Moreover, wavelet packets give one some advantage over the traditional methods such as multiresolution of frequency, as well as its potential use for effecting time-frequency decomposition of the nonstationary signals such as the ME signals during dynamic contractions. The wavelet shrinkage method is also introduced for improving spectral estimates by reducing the mean square errors for both Fourier and wavelet packets estimates.","PeriodicalId":213764,"journal":{"name":"Proceedings of the 2nd International Conference on Bioelectromagnetism (Cat. No.98TH8269)","volume":"49 5 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1998-02-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Spectral analysis of myoelectric signals by wavelet methods\",\"authors\":\"S. Karlsson, Jun Yu, M. Akay\",\"doi\":\"10.1109/ICBEM.1998.666381\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The wavelet packet method is introduced as an alternative method for spectral analysis of surface myoelectric (ME) signals. Both computer synthesised and real myoelectric signals during static contractions are investigated, and the results show that the wavelet packet method performs equally well as the Fourier method. Moreover, wavelet packets give one some advantage over the traditional methods such as multiresolution of frequency, as well as its potential use for effecting time-frequency decomposition of the nonstationary signals such as the ME signals during dynamic contractions. The wavelet shrinkage method is also introduced for improving spectral estimates by reducing the mean square errors for both Fourier and wavelet packets estimates.\",\"PeriodicalId\":213764,\"journal\":{\"name\":\"Proceedings of the 2nd International Conference on Bioelectromagnetism (Cat. No.98TH8269)\",\"volume\":\"49 5 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1998-02-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 2nd International Conference on Bioelectromagnetism (Cat. No.98TH8269)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICBEM.1998.666381\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2nd International Conference on Bioelectromagnetism (Cat. No.98TH8269)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICBEM.1998.666381","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Spectral analysis of myoelectric signals by wavelet methods
The wavelet packet method is introduced as an alternative method for spectral analysis of surface myoelectric (ME) signals. Both computer synthesised and real myoelectric signals during static contractions are investigated, and the results show that the wavelet packet method performs equally well as the Fourier method. Moreover, wavelet packets give one some advantage over the traditional methods such as multiresolution of frequency, as well as its potential use for effecting time-frequency decomposition of the nonstationary signals such as the ME signals during dynamic contractions. The wavelet shrinkage method is also introduced for improving spectral estimates by reducing the mean square errors for both Fourier and wavelet packets estimates.