An IMU and sEMG dataset of induced stumble events during treadmill walking in transfemoral amputees

Falls and stumble-related events remain a safety concern for individuals with unilateral transfemoral amputation, including experienced users of microprocessor-controlled prosthetic knees. Although wearable inertial and myoelectric sensors are commonly used to study gait perturbations and recovery strategies, datasets capturing experimentally induced stumble events in this population are limited. This article describes a multimodal dataset of treadmill walking and induced stumble responses collected from five individuals with unilateral transfemoral amputation across three prosthetic knee conditions. Wearable inertial measurement units (IMUs) mounted on the prosthetic thigh and shank recorded tri-axial acceleration and angular velocity at 60 Hz, while surface electromyography (sEMG) from the semitendinosus, biceps femoris, and rectus femoris was recorded at 480 Hz. Stumble events were induced using three controlled mechanisms, obstacle contact, bungee-induced braking, and uneven terrain, and marked in real time with embedded timestamps. Each event was subsequently reviewed using synchronized video and classified according to the observed gait outcome as unaffected gait, affected gait, recovery, or fall. The dataset consists of raw, fully time-aligned IMU and sEMG recordings with embedded stumble markers, providing data for analysis of gait disruption and recovery behavior and for sensor-based analyses of stumble events and prosthetic knee control in individuals with unilateral transfemoral amputation.