Prof. Todd Coleman, Prof. Zhenan Bao and Leen A. Razzak design and demonstrate a patch for high-resolution electrogastography and find that the design using elastomeric Ag/AgCl with conductive hydrogel functionalization is more efficiently fabricated and has lower impedance magnitude.
Read more about Functionalized adhesive thin flexible electrode arrays for large-scale unobtrusive ambulatory monitoring of neuromuscular activity
Prof. James Zou, Prof. Emmanuel Mignot et al developed SleepFM that accommodates multiple polysomnography configurations and produces latent sleep representations to capture the physiological and temporal structure of sleep and to enable accurate prediction of future disease risk.
Read more about SleepFM: A multimodal sleep foundation model for disease prediction
Prof. Zhenan Bao, Prof. Scott Delp et al introduce a Gen-AI learning framework that predicts muscle activity in regions not covered by the compact sensor, allowing simple EMG wearables to produce rich information.
Read more about A simplified wearable device powered by a generative electromyography (EMG) network for hand-gesture recognition and gait prediction
Prof. Zhenan Bao et al discuss the operational principles, device design, material selection, and fabrication considerations for stretchable transistors in future wearable and implantable integrated circuits.
Read more about Intrinsically stretchable transistors and integrated circuits
