Relearning hand movements after certain neurological injuries requires repetitive exercises and monitoring of muscle responses. A wearable electronic system can capture muscle electrical activity using surface electromyography (sEMG) and process the signal to estimate the user’s intention to move. In some assistive designs, the control decision can be linked to functional electrical stimulation (FES) to support the intended movement. This article presents the general electronic architecture of the system, the stages of signal processing, and the key safety and development considerations. Introduction Stroke and injuries to the nervous system can affect a person’s ability to move the hand and perform certain daily activities. Rehabilitation programs rely on repetitive movement exercises and monitoring the patient’s response. From an electronic systems design perspective, integrating sensors, processing, and control makes it possible to develop wearable devices that monitor muscle activity and provide feedback during training. The concept is based on using muscle signals as an indicator of the intention to move. When the user attempts to move the hand, electrodes detect muscle activity, the system analyzes the signal, and then displays the results or uses them to control an assistive device. One method of linking muscle activity to electrical stimulation is known as an EMG bridge. The system begins by acquiring signals through surface electrodes placed over the forearm muscles responsible for the desired movement. The signal passes through a conditioning stage that includes amplification and filtering. An analog-to-digital converter (ADC) then converts the signal into digital samples. The microcontroller receives these samples and extracts features that help distinguish between rest and attempted movement, such as signal amplitude or signal patterns over a short time window. After making a control decision, the system can provide feedback through a display interface or send a command to an assistive unit. In a design based on functional electrical stimulation (FES), the unit generates electrical pulses to stimulate the targeted muscles and assist the intended movement.