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It’s know that computing is becoming increasingly integrated into other knowledge areas, providing practical and innovative solutions to many types of problems, including to health care area. In this sense, the amputatee patients physical rehabilitation process also shows as an important area for tools development that assist the professional physiotherapist, since this rehabilitation process is long-lasting and exhaustive for patients. Thus, the present work describes the development of a solution called Muscle Fatigue Identifier (MFID) to improve the amputee physical rehabilitation process, by detecting muscle fatigue during physical exercise sessions, which once unidentified, can cause injury and pain to patients, further prolonging treatment. The developed system consists in the integration of sensors, hardware and software. This way, it was possible to monitoring and identify the muscle fatigue occurrence during the physical exercise sessions performed by the patients, as well as allowing a use tool to evaluate the physiotherapy treatment.

MFID: uma Solução Computacional para a Identificação da Fadiga Muscular Durante a Reabilitação Física de Indivíduos Amputados