Yuwen Ruan

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About

Dr. Yuwen Ruan is a rising leader in neural engineering and motor intent decoding, with a focus on advancing human–machine interaction through robust, long-term biosignal analysis. Her key research areas include surface electromyogram (EMG) signal processing, motor neuron discharge decoding, and the development of stable, cross-session control interfaces for rehabilitation and robotic systems. Dr. Ruan’s most notable contribution is her pioneering work on predicting finger forces using motoneuron discharge activities, as demonstrated in her highly cited 2025 paper, which addresses the critical challenge of EMG signal degradation over time. This work has already garnered 5 citations, underscoring its immediate impact on the field. By leveraging neural drive information rather than raw EMG amplitude, she has opened new pathways for more reliable and intuitive prosthetic and assistive device control. Her research holds promise for transforming clinical rehabilitation and wearable robotics, offering users consistent performance across days and sessions. Dr. Ruan’s innovative approach marks her as a key contributor to the next generation of adaptive, user-centered neural interfaces.