.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 the manuscript. Funding: We need to thank towards the Education Division of your Junta de Castilla y Le for the project “Aplicaci de cepas de Trichoderma en la producci sostenible de jud de calidad (Reference: LE251P18)”, and the Spanish Ministry of Science, Innovation and Universities for the project “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 want to thank the Ministry of Science, Innovation and Universities (Spain) (Resolution of 27 July 2018, BOE No. 184, of 31 July) for the economic help of this perform, that was awarded using a grant to varo Rodr uez Gonz ez (PTA2017e14403-I) through the program Technical Support Employees (Contact 2017). Conflicts of Interest: The authors declare no conflict of interest. The funders had no function within the style in the study; in the collection, analyses, or interpretation of data; inside the writing in the manuscript, or in the choice 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 Computer Engineering, National Taiwan University of VBIT-4 Purity & Documentation Science and Technologies, Taipei 106, Taiwan; [email protected] (Y.-D.W.); [email protected] (S.-J.R.) Division of Physical Medicine and Rehabilitation, Shuang Ho Hospital, Taipei Healthcare University, Taipei 106, Taiwan Correspondence: [email protected]: In current years, the surface electromyography (EMG) signal has received many focus. EMG signals are applied to analyze muscle activity or to evaluate a patient’s muscle status. Having said that, industrial surface EMG systems are high-priced and have high power consumption. For that reason, the purpose of this paper is always to implement a surface EMG acquisition program that supports high sampling and ultra-low energy consumption measurement. This function analyzes and optimizes every a part of the EMG acquisition circuit and combines an MCU with BLE. Relating to the MCU energy saving strategy, the technique makes use of two various frequency MCU clock sources and we proposed a ping-pong buffer because the memory architecture to achieve the very best power saving effect. The measured surface EMG signal samples could be forwarded promptly to the host for further processing and extra application. The outcomes show that the average current from the proposed architecture is often reduced by 92.72 compared with commercial devices, and also the battery life is 9.057 times longer. Moreover, the correlation coefficients have been as much as 99.five , which represents a higher relative agreement amongst the industrial along with the proposed Thromboxane B2 supplier method. Keywords and phrases: EMG acquisition program; 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 Health-related Applications. Biosensors 2021, 11, 411. https:// doi.org/10.3390/bios11110411 Received: four September 2021 Accepted: 19 October 2021 Published: 21 October1. Introduction An growing level of study on combining bioelectrical signals with the Online of Points (IoT) has been undertaken in the final decade. Extra biometric sensor products have been.