Abstract
This paper was aimed at determining a way to create an EMG signal in muscle tissue, and identify factors that affect this signal. We also studied the methods for recording and filtering this signal in order to control a prosthetic limb such as a hand. A new method is discussed for controlling a prosthetic limb capable of interacting with brain and the nervous system. In this system, which is called IMES (Implantable Myoelectric Sensor), EMG signals were recorded using a series of Implantable Myoelectric Sensors. These signals were then transmitted to a telemetry controller for analysis using a wireless system. The system developed here allows the acquired data to be sent to a prosthetic limb controller and move the prosthetic limb toward patient's desired directions without wiring or a surgical procedure to implant the controller under the skin. It is also possible to monitor the data from EMG signals via a USB port or an external computer connected to the IMES system. Our results indicate that we can record the EMG signals without noise via implantable myoelectricsensors and telemetry controller in an IMES system. This allows to control a prosthetic hand based on the brain and nervous system's commands.
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20 December 2017
In the version of this article initially published, the affiliations of the authors were incorrectly written. The correct presentation is indicated in this paper.
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Acknowledgments
We thank Dr. N. Sheibani with the preparation and editing of the manuscript.
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All human subjects were healthy adults and agreed to the parameters of this study by signing a consent form based on the Helsinki guidelines and approved by the Institutional Review Board of Science and Research Branch-Islamic Azad University (SRBIAU).
Six able bodied subjects (mean age between 20 and 50) including three males and three females were enrolled in this study. In the first step we evaluated patients such as observation of skin condition, tissue condition, muscle strength and rang of motion an amputee limb. After this step, we recorded EMG signal via surface electrodes. Also, we utilize Otto Bock6 13E200 sensors to record EMG signals because this sensor is used simply as an electrode. Otto Bock’s 13E200 electrodes use a 100–400 Hz band pass filter and a 60 Hz notch filter.
A correction to this article is available online at https://doi.org/10.1007/s12553-017-0213-3.
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Sheibani, A., Pourmina, M.A. Study and analysis of EMG signal and its application in controlling the movement of a prosthetic limb. Health Technol. 6, 277–284 (2016). https://doi.org/10.1007/s12553-016-0142-6
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DOI: https://doi.org/10.1007/s12553-016-0142-6