A. González-Mendoza, A. Pérez-Sanpablo, R. López-Gutíerrez, I. Quiñones-Urióstegui
{"title":"Validation of an EMG sensor for Internet of Things and Robotics","authors":"A. González-Mendoza, A. Pérez-Sanpablo, R. López-Gutíerrez, I. Quiñones-Urióstegui","doi":"10.1109/ICEEE.2018.8533972","DOIUrl":null,"url":null,"abstract":"This paper describes the construction of a proposed EMG sensor which is intended as a future work to apply in the field of technology of Internet of Things (IoT) and exoskeletons. Subsequently, this work presents the validation of the proposed sensor compared with commercial clinical use EMG sensors (Biometrics of Biometrics Ltd. UK and Shimmer 3 of Shimmer Sensing, Ireland) based on Signal to Noise Ratio (SNR) that is being calculated by two different methods. The obtained results from the experimentation show that the sensors Biometrics and Shimmer 3 are around 20dB SNR while, the proposed sensor gets between 11dB and 18dB SNR. Then, it indicates that the proposed sensor is feasible for the application in technologies like IoT (for manipulating home devices through the interpretation of muscle activity) or robotics but is not suitable for applications that involve subjects musculoskeletal monitoring or diagnose.","PeriodicalId":6924,"journal":{"name":"2018 15th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE)","volume":"23 1","pages":"1-5"},"PeriodicalIF":0.0000,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 15th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICEEE.2018.8533972","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 8
Abstract
This paper describes the construction of a proposed EMG sensor which is intended as a future work to apply in the field of technology of Internet of Things (IoT) and exoskeletons. Subsequently, this work presents the validation of the proposed sensor compared with commercial clinical use EMG sensors (Biometrics of Biometrics Ltd. UK and Shimmer 3 of Shimmer Sensing, Ireland) based on Signal to Noise Ratio (SNR) that is being calculated by two different methods. The obtained results from the experimentation show that the sensors Biometrics and Shimmer 3 are around 20dB SNR while, the proposed sensor gets between 11dB and 18dB SNR. Then, it indicates that the proposed sensor is feasible for the application in technologies like IoT (for manipulating home devices through the interpretation of muscle activity) or robotics but is not suitable for applications that involve subjects musculoskeletal monitoring or diagnose.