Abstract
The weakening of motor functions in individuals due to a stroke can impact daily life productivity, necessitating therapy or rehabilitation. One method for restoring the function of body parts, especially the upper limb affected by a stroke, is through mirror therapy on a bicycle. Mirror therapy provides visual stimulation to the brain, influencing the improvement of motor functions. To monitor the effectiveness and safety during therapy, a monitoring system is required to track progress and evaluate vital signs to prevent health issues arising from the exercise process. This research aims to design an integrated upper limb motor exercise system using a mirror therapy bicycle with a website to monitor the therapy process and evaluate the results. Observed parameters include heart rate, oxygen saturation, pedal rotations, and therapy duration. This is because the longer the duration and the more rotations of the static bicycle pedaled by post-stroke patients, the greater the likelihood of improving motor skills. Software reliability was tested for the website and data communication. The study involved 20 healthy subjects, analyzed statistically through descriptive statistics and normality tests using the Kolmogorov-Smirnov type. Then, data similarity was tested against a comparator using the Independent Sample T-Test. Heart rate (bpm) and oxygen saturation (SpO2%) data from the sensor were normally distributed with a p-value ≥ 0.05. MQTT demonstrated optimal performance at QoS 0 with a throughput value of 604.8 bits/s, delay of 3.4 ms, jitter of 2.152 ms, and no packet loss.
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More From: International Journal on Advanced Science, Engineering and Information Technology
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