.A.C. and S.G. All authors have study and agreed
.A.C. and S.G. All authors have study and agreed for the published version of your manuscript. Funding: We wish to thank for the Education Department from the Junta de Castilla y Le for the project “Aplicaci de cepas de Trichoderma en la producci sostenible de jud de calidad (Reference: LE251P18)”, and also the Spanish Ministry of Science, Innovation and Universities for the project “Etiocholanolone supplier Aislamiento de cepas de Trichoderma productoras de trichotecenos a partir de cultivos de jud y estudio de su efecto en la defensa de la planta frente a enfermedades f gicas (RTI2018-099600-B-I00)”. Data Availability Statement: Not applicable. Acknowledgments: We desire to thank the Ministry of Science, Innovation and Universities (Spain) (Resolution of 27 July 2018, BOE No. 184, of 31 July) for the economic support of this function, that was awarded having a grant to varo Rodr uez Gonz ez (PTA2017e14403-I) by means of the plan Technical Support Staff (Get in touch with 2017). Conflicts of Interest: The authors declare no conflict of interest. The funders had no role within the style from the study; inside the D-Fructose-6-phosphate disodium salt Protocol collection, analyses, or interpretation of information; in the writing of your manuscript, or in the selection to publish the outcomes.Agronomy 2021, 11,18 of
biosensorsArticleAn Ultra-Low Energy Surface EMG Sensor for Wearable Biometric and Healthcare ApplicationsYi-Da Wu 1 , Shanq-Jang Ruanand Yu-Hao Lee two, Division of Electronic and Laptop or computer Engineering, National Taiwan University of Science and Technologies, Taipei 106, Taiwan; [email protected] (Y.-D.W.); [email protected] (S.-J.R.) Department of Physical Medicine and Rehabilitation, Shuang Ho Hospital, Taipei Health-related University, Taipei 106, Taiwan Correspondence: [email protected]: In recent years, the surface electromyography (EMG) signal has received a great deal of focus. EMG signals are utilized to analyze muscle activity or to evaluate a patient’s muscle status. Having said that, industrial surface EMG systems are costly and have higher energy consumption. Consequently, the objective of this paper will be to implement a surface EMG acquisition system that supports higher sampling and ultra-low energy consumption measurement. This work analyzes and optimizes every part of the EMG acquisition circuit and combines an MCU with BLE. Regarding the MCU energy saving process, the program makes use of two various frequency MCU clock sources and we proposed a ping-pong buffer because the memory architecture to achieve the most beneficial power saving effect. The measured surface EMG signal samples might be forwarded immediately towards the host for further processing and extra application. The outcomes show that the typical current on the proposed architecture may be decreased by 92.72 compared with industrial devices, plus the battery life is 9.057 occasions longer. Furthermore, the correlation coefficients were up to 99.five , which represents a higher relative agreement among the commercial and also the proposed method. Key phrases: EMG acquisition method; biosensor devices and interface circuit; wireless transmission; energy consumptionCitation: Wu, Y.-D.; Ruan, S.-J.; Lee, Y.-H. An Ultra-Low Energy Surface EMG Sensor for Wearable Biometric and Medical Applications. Biosensors 2021, 11, 411. https:// doi.org/10.3390/bios11110411 Received: four September 2021 Accepted: 19 October 2021 Published: 21 October1. Introduction An rising volume of research on combining bioelectrical signals using the World wide web of Things (IoT) has been undertaken inside the final decade. Additional biometric sensor items have been.