APA (7th ed.) Citation

Bai, A., Song, H., Wu, Y., Dong, S., Feng, G., & Jin, H. Sliding-Window CNN + Channel-Time Attention Transformer Network Trained with Inertial Measurement Units and Surface Electromyography Data for the Prediction of Muscle Activation and Motion Dynamics Leveraging IMU-Only Wearables for Home-Based Shoulder Rehabilitation. MDPI AG.

Chicago Style (17th ed.) Citation

Bai, Aoyang, Hongyun Song, Yan Wu, Shurong Dong, Gang Feng, and Hao Jin. Sliding-Window CNN + Channel-Time Attention Transformer Network Trained with Inertial Measurement Units and Surface Electromyography Data for the Prediction of Muscle Activation and Motion Dynamics Leveraging IMU-Only Wearables for Home-Based Shoulder Rehabilitation. MDPI AG.

MLA (9th ed.) Citation

Bai, Aoyang, et al. Sliding-Window CNN + Channel-Time Attention Transformer Network Trained with Inertial Measurement Units and Surface Electromyography Data for the Prediction of Muscle Activation and Motion Dynamics Leveraging IMU-Only Wearables for Home-Based Shoulder Rehabilitation. MDPI AG.