Rehabilitation is the act of restoring one's health back to normal using medicine and engineered devices with the aim of recovery. Rehabilitation engineering can be described as the design, development, and application of engineering methods and devices to reduce the problems faced by persons who have disabilities. The main objective is to use our engineering principles to develop a rehabilitation bicycle in which the resistance will be altered automatically based on the feedback from your own muscles. The feedback signals used to serve our purpose is electrical impulses from our muscles or EMG signals. The EMG signals are extracted and processed as fatigue is to be detected from these signals which will then be used for setting the resistance of the bicycle according to the level of fatigue detected. In this study there are mainly two objectives, one is the acquisition of the signal and processing it for detecting fatigue, and the second objective is integrating the fatigue detection values to the brakes to vary it automatically. Using the signals, to detect muscle fatigue, the parameters normally used are the amplitude and the frequency of the signal. Since the fatigue level varies according to individuals the detection is done real time at the start of the procedure. The studies in the literature show that the amplitude of EMG signals increases progressively as a function of time when the fatigue increases. Accordingly the muscle fatigue can be monitored by changes in the EMG frequency properties such as mean and median frequency. For the purpose the research however we are going to use the amplitude component of the signal to detect fatigue. After fatigue is detected on the signals, a threshold is set at a suitable voltage where amplitude spikes of fatigue have already begun. Therefore after sometime if the amplitude continues to rise above that threshold it triggers a motor or plates to vary the resistance. The results of this research, we believe will lead to faster, accurate and progressive healing of patients and athletes. © 2006-2018 Asian Research Publishing Network (ARPN).