{"title":"表面肌电图放电率的计算","authors":"Lukai Liu, E. Clancy, P. Bonato","doi":"10.1109/NEBEC.2013.59","DOIUrl":null,"url":null,"abstract":"The discharge rate of motor unit action potential sequences has been related to fatigue and neuromuscular diseases, but typically simple methods are used to do so. We adapted more advanced methods used to calculate heart rate to fit in the context of surface electromyogram discharge rate calculation. Simulation results with a deterministic discharge rate modulation model suggest that parameter fine-tuning is necessary to accurately and robustly estimate discharge rate.","PeriodicalId":153112,"journal":{"name":"2013 39th Annual Northeast Bioengineering Conference","volume":"126 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Calculation of Surface Electromygram Discharge Rate\",\"authors\":\"Lukai Liu, E. Clancy, P. Bonato\",\"doi\":\"10.1109/NEBEC.2013.59\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The discharge rate of motor unit action potential sequences has been related to fatigue and neuromuscular diseases, but typically simple methods are used to do so. We adapted more advanced methods used to calculate heart rate to fit in the context of surface electromyogram discharge rate calculation. Simulation results with a deterministic discharge rate modulation model suggest that parameter fine-tuning is necessary to accurately and robustly estimate discharge rate.\",\"PeriodicalId\":153112,\"journal\":{\"name\":\"2013 39th Annual Northeast Bioengineering Conference\",\"volume\":\"126 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-04-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 39th Annual Northeast Bioengineering Conference\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/NEBEC.2013.59\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 39th Annual Northeast Bioengineering Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/NEBEC.2013.59","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Calculation of Surface Electromygram Discharge Rate
The discharge rate of motor unit action potential sequences has been related to fatigue and neuromuscular diseases, but typically simple methods are used to do so. We adapted more advanced methods used to calculate heart rate to fit in the context of surface electromyogram discharge rate calculation. Simulation results with a deterministic discharge rate modulation model suggest that parameter fine-tuning is necessary to accurately and robustly estimate discharge rate.
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