{"title":"无和有四自由度被动外骨骼的上肢肌肉肌电图活动的实验研究","authors":"R. Raikova, S. Angelova, I. Veneva, I. Christov","doi":"10.7546/IJBA.2019.23.3.000673","DOIUrl":null,"url":null,"abstract":"The choice of suitable human surface muscles and of their electromyographic (EMG) signal processing have always been a challenge, especially when technical devices are to be controlled by these signals. Experiments with six healthy volunteers were performed with a NORAXON measuring and processing system. EMG signals from 8 muscles of the upper right arm performing the main motions in the shoulder and elbow joints were registered and processed. Four angles in the joints were also registered. Six motor tasks were performed, without and with an exoskeleton with four degrees of freedom. Since the EMG signal of the muscle pectoralis major was contaminated by noise coming from the electrical activity of the heart, first this signal was filtered using recently developed dynamic filter. Normalization according to maximal isometric tasks was performed after filtration. Rectification and smoothing ensured a suitable signal for proportional control of the exoskeleton. On/off control was simulated by setting different constants for maximal EMG amplitude levels.","PeriodicalId":38867,"journal":{"name":"International Journal Bioautomation","volume":" ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Experimental Investigation of Electromyographic Activities of Upper Limb Muscles without and with a Passive Exoskeleton with Four Degrees of Freedoms\",\"authors\":\"R. Raikova, S. Angelova, I. Veneva, I. Christov\",\"doi\":\"10.7546/IJBA.2019.23.3.000673\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The choice of suitable human surface muscles and of their electromyographic (EMG) signal processing have always been a challenge, especially when technical devices are to be controlled by these signals. Experiments with six healthy volunteers were performed with a NORAXON measuring and processing system. EMG signals from 8 muscles of the upper right arm performing the main motions in the shoulder and elbow joints were registered and processed. Four angles in the joints were also registered. Six motor tasks were performed, without and with an exoskeleton with four degrees of freedom. Since the EMG signal of the muscle pectoralis major was contaminated by noise coming from the electrical activity of the heart, first this signal was filtered using recently developed dynamic filter. Normalization according to maximal isometric tasks was performed after filtration. Rectification and smoothing ensured a suitable signal for proportional control of the exoskeleton. On/off control was simulated by setting different constants for maximal EMG amplitude levels.\",\"PeriodicalId\":38867,\"journal\":{\"name\":\"International Journal Bioautomation\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal Bioautomation\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.7546/IJBA.2019.23.3.000673\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"Agricultural and Biological Sciences\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal Bioautomation","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.7546/IJBA.2019.23.3.000673","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"Agricultural and Biological Sciences","Score":null,"Total":0}
Experimental Investigation of Electromyographic Activities of Upper Limb Muscles without and with a Passive Exoskeleton with Four Degrees of Freedoms
The choice of suitable human surface muscles and of their electromyographic (EMG) signal processing have always been a challenge, especially when technical devices are to be controlled by these signals. Experiments with six healthy volunteers were performed with a NORAXON measuring and processing system. EMG signals from 8 muscles of the upper right arm performing the main motions in the shoulder and elbow joints were registered and processed. Four angles in the joints were also registered. Six motor tasks were performed, without and with an exoskeleton with four degrees of freedom. Since the EMG signal of the muscle pectoralis major was contaminated by noise coming from the electrical activity of the heart, first this signal was filtered using recently developed dynamic filter. Normalization according to maximal isometric tasks was performed after filtration. Rectification and smoothing ensured a suitable signal for proportional control of the exoskeleton. On/off control was simulated by setting different constants for maximal EMG amplitude levels.