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040			_aUniversiti Teknologi Brunei _beng _cUTB
084			_aUTB 120 REPORT, THESIS & DISSERTATION _aRTDS 387
100	1		_aAida Safwah binti Haji Ali _eAuthor
245	1	0	_aAn Electromyography Signal Enhancement for Upper Limb Rehabilitation Robot Manipulator System / _cAida Safwah binti Haji Ali
260			_aBrunei Darussalam: _bUniversiti Teknologi Brunei , _c© 2023.
300			_ax, 85 Pages : _bcolor charts, Photograph ; _c30 cm.
500			_aSubmitted in fulfillment of the requirements for the degree of Master of Science in Engineering
500			_aAbstract The development of new diagnostic techniques and therapeutic approaches is a continuous process in the medical area. Patients with stroke-related upper limb impairments should engage in rehabilitation activities to speed their recovery and return to normal daily activities. Robots can aid patients in doing actual exercises or training movements utilizing the manipulators or other tools that rehabilitation therapists use, which can help free up therapists' time to care for other patients. Nowadays, technology is becoming more vital in healthcare. It is therefore critically necessary in this area of medicine to build a cooperative robot-assisted upper limb rehabilitation exercise prototype that can generate specialized training programs that the patients may safely complete with the robot. In this study, the right deltoids, right biceps, and right triceps of nine healthy volunteers were examined for their patterns of EMG signals. For a run of 30 seconds, the participants were instructed to carry out horizontal abductions and adductions as well as elbow flexions and extensions. The results demonstrated that the signals generated by the rehabilitation robot arm were comparable to those generated free-handed, and that there was a significant, if very little, reduction in signal voltage when employing the robot arm. This demonstrates that these prescribed movement sequence criteria are suitable for upper limb stroke rehabilitation and are established as effective strategies for rehabilitation, and can be improved by trial with patients with upper limb injuries for more accurate results. Future research can focus on evaluating the feasibility and analysis of the practicality of integrating EMG sensor technology into existing rehabilitation programs for post-stroke patients in the future, and the potential benefits of enhanced therapy capacity and optimized exercise customization.
502			_aThesis ( Degree of Master of Science in Engineering )
504			_aIncludes bibliography references.
610		4	_vThesis _aUniversiti Teknologi Brunei
650		4	_aElectromyography _xData processing.
650		4	_aSignal processing _xDigital techniques.
650		4	_a Robotic arms _x Control systems.
710			_aUniversiti Teknologi Brunei _bFaculty of Engineering
942			_2lc _n0 _cRTDS
998			_eReports, Thesis & Dissertation _s850383 : 002270 c. 1_UTB _xUniversiti Teknologi Brunei
999			_c23397 _d23397