Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/76012
Title: Wireless skeletal muscle contraction monitoring device
Authors: Kong, Xiangyi
Keywords: DRNTU::Engineering::Electrical and electronic engineering
Issue Date: 2018
Abstract: With the growing focuses on fitness and Neuromuscular diseases, a type of biomedical devices which can monitor skeletal muscle contraction have become more and more popular. The muscle action potential which can be generated across Sarcolemma is a crucial parameter to help doctors to monitor the muscle contraction and classify Neuromuscular diseases for their patients. The muscle action potential can also help fitness coach to know whether a trainer is using a right muscle. A wireless skeletal muscle contraction monitoring device includes: ① a front-stage acquiring circuit, which can extract the electromyography(EMG) signal from muscle through surface electrodes, ②a wireless communication circuit, which is a Bluetooth module names HC05, ③a Analog to Digital Converter (ADC) circuit which is implemented by msp430 micro controller from Texas Instrument, ④ a signal receiving and processing software – LabVIEW software in Personal Computer which can receive sample data of sEMG signal from the device via Bluetooth communication. This dissertation focused on the wireless communication circuit design, ADC circuit design and LabVIEW software design. In order to detect the muscle contraction, two sensor channels were used by using two electrodes. The data sampled by the front-stage acquiring circuit is converted to a serial digital signal. So a msp430 micro controller which has an ADC function is used. For wireless communication between laptop and the monitoring device, a Bluetooth module is combined with the device. In the meantime, simulation and testing on the front-stage acquiring circuit were carried out to verify the function. Lastly, in this stage of the project, a LabVIEW software is designed to receive the signal data from the monitoring device and to derive the electromyogram waveform for future analysis. The performance of the system is investigated by experiments and tests. Different amplitudes of sEMG waveform represent different muscle movement.
URI: http://hdl.handle.net/10356/76012
Schools: School of Electrical and Electronic Engineering 
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:EEE Theses

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