{"title":"频域肌电信号处理","authors":"Malaorzata Parfieniuk","doi":"10.1109/BIOMDLORE.2018.8467189","DOIUrl":null,"url":null,"abstract":"The EMG signal analysis is a useful in assessment of muscle spasticity in spastic diplegia CP children. The aim of this study was to propose methods for EMG signal processing in frequency domain. Functional evaluation was carried out on 10 spastic diplegia patients aged between 7–12 years old. The EMG signal was processed using Short Time Fourier Transform (STFT) and Wavelet Transform (WT). The results show, that wavelet transform for biomechanical signals, asymmetrical wavelets with smooth edges are needed.","PeriodicalId":151729,"journal":{"name":"2018 International Conference BIOMDLORE","volume":"77 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"EMG Signal Processing in Frequency Domain\",\"authors\":\"Malaorzata Parfieniuk\",\"doi\":\"10.1109/BIOMDLORE.2018.8467189\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The EMG signal analysis is a useful in assessment of muscle spasticity in spastic diplegia CP children. The aim of this study was to propose methods for EMG signal processing in frequency domain. Functional evaluation was carried out on 10 spastic diplegia patients aged between 7–12 years old. The EMG signal was processed using Short Time Fourier Transform (STFT) and Wavelet Transform (WT). The results show, that wavelet transform for biomechanical signals, asymmetrical wavelets with smooth edges are needed.\",\"PeriodicalId\":151729,\"journal\":{\"name\":\"2018 International Conference BIOMDLORE\",\"volume\":\"77 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 International Conference BIOMDLORE\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/BIOMDLORE.2018.8467189\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 International Conference BIOMDLORE","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/BIOMDLORE.2018.8467189","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The EMG signal analysis is a useful in assessment of muscle spasticity in spastic diplegia CP children. The aim of this study was to propose methods for EMG signal processing in frequency domain. Functional evaluation was carried out on 10 spastic diplegia patients aged between 7–12 years old. The EMG signal was processed using Short Time Fourier Transform (STFT) and Wavelet Transform (WT). The results show, that wavelet transform for biomechanical signals, asymmetrical wavelets with smooth edges are needed.
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