This study presents the development of a device aimed at supporting the rehabilitation of muscle atrophy resulting from sedentary lifestyles, injuries, or underlying pathologies—conditions that significantly compromise muscle mass, strength, and functionality. In Mexico, 58.3% of adults over the age of 18 exhibit physical inactivity (Government of Mexico, 2019), posing a considerable challenge to neuromuscular health. The current lack of specialized tools hinders the objective assessment of muscular condition and the personalization of preventive or hypertrophic exercise regimens. To address this gap, an electromyographic (EMG) monitoring system was designed to evaluate muscular activity in individuals affected by atrophy due to inactivity. The system facilitates the development of adaptive exercise routines tailored to promote hypertrophy according to the type of muscle fibers involved. Three electromyograph prototypes were constructed, each incorporating circuits for signal acquisition, preprocessing, and digital analysis. Experimental trials were conducted on volunteers, during which EMG signals were recorded as participants engaged in standard and morphology-adapted exercise protocols. A microcontroller-based algorithm was integrated to perform efficient real-time signal processing. The prototypes demonstrated the capacity to capture EMG signals with a high signal-to-noise ratio, while avoiding saturation of the analog-to-digital converter (ADC). Notably, signs of muscle fatigue were observed during activity, characterized by reductions of up to 50% in the amplitude of the sustained EMG signal. The system enables quantitative evaluation of muscular condition, thereby facilitating the dynamic adjustment of rehabilitation routines. These findings suggest that the proposed system supports personalized rehabilitation strategies and holds potential for integration into intelligent bionic interfaces.