QUANTIFICATION OF SEMG SIGNALS FOR IDENTIFICATION OF REPETITIVE MOVEMENTS PATTERNS IN HANDS

• Main Author: Azizah
• Format: Final Project
• Language: Indonesia
• Subjects: Teknik (Rekayasa, enjinering dan kegiatan berkaitan)
• Online Access: https://digilib.itb.ac.id/gdl/view/77358
• Institution: Institut Teknologi Bandung

Pathological conditions of the hand such as muscle injuries, fractures, strokes, and neurological disorders can lead to disability. To restore hand motor function and increase muscle strength in patients with disabilities, physiotherapy is necessary. Physiotherapy requires patients to perform repetitive movements. This aims to stimulate the muscles that have been paralyzed. The consequence of repetitive exercises is the need for a therapist. However, the assessment done by therapists and health workers is still subjective. This is a challenge in itself, but also an opportunity to develop efforts to evaluate physiotherapy exercises objectively. One form of quantification of physiotherapy exercises that is considered quite objective is using sEMG signals. This study used sEMG signals to evaluate repetitive movement patterns in the hand. In this study, it was found that the layers in the muscle affect the measurement using the sEMG technique. In the contraction pattern, the enveloping results decreased, indicating that the energy required to maintain a position is less than to initiate a movement. Based on the onset analysis, the movement from one position to the next position will be characterized by a decrease and increase in average amplitude. The enveloping results of the sEMG signal show that the energy required to maintain a position is smaller than starting a movement. Analysis of the average PSD shows that flexion, extension, and initial condition movements can be distinguished, where the initial condition movement has an average PSD range of 15-30 dB, flexion of 0.5-2 dB, and extension of 250-300 dB. The most dominant frequency range that shows muscle contraction is in the range of 50-150 Hz. The minimal decrease in MDF and MNF indicates that the muscle has not yet reached a state of fatigue. There is a need for analysis by adding questionnaires to experimental subjects, measuring the strength and speed of subjects with other instrumentation.