Traditional functional electrical stimulation (FES) faces challenges in personalized parameter setting and real-time muscle status monitoring, and corresponding portable integrated hardware platforms still need to be developed. This study aimed to design and implement a novel FES device combined with multi-modal muscle status monitoring. This system seeks to establish the hardware foundation for personalized rehabilitation strategies based on multi-modal signal feedback. The system employs a modular hardware architecture. The muscle oxygenation monitoring module utilizes continuous-wave near-infrared spectroscopy (CW-NIRS) technology to monitor changes in hemoglobin concentrations. The surface electromyography (sEMG) monitoring module employs a three-electrode differential configuration to output a processed signal envelope. The FES module allows real-time adjustment of stimulation intensity, frequency, and pulse width. All modules communicate wirelessly with a host personal computer (PC) via Bluetooth Low Energy (BLE), and a PC-based Graphical User Interface (GUI) enables real-time data display and parameter control. To validate device performance, we conducted functional tests on each module. These tests included forearm vascular occlusion experiments for the muscle oxygenation monitoring module, baseline noise and signal quality assessments for the sEMG monitoring module, and output waveform verification for the FES module. Experimental results demonstrated that the muscle oxygenation monitoring module accurately captured dynamic hemo-oxygenation changes in muscle tissue. The sEMG monitoring module acquired clear signal envelopes with a high signal-to-noise ratio (SNR). Furthermore, the FES module precisely delivered user-defined stimulation parameters. This research provides a critical hardware platform that enables the future implementation of closed-loop, personalized FES rehabilitation based on multi-modal physiological signal feedback.