Analyzing the impact of class transitions on the design of pattern recognition-based myoelectric control schemes. - Shriram Tallam Puranam Raghu; Dawn MacIsaac; Erik J. Scheme (Biomed. Signal Process. Control., 2022)

Automated Biomedical Signal Quality Assessment of Electromyograms: Current Challenges and Future Prospects. - Shriram Tallam Puranam Raghu; Dawn T. MacIsaac; Adrian D. C. Chan (IEEE Instrum. Meas. Mag., 2022)

Decision-Change Informed Rejection Improves Robustness in Pattern Recognition-Based Myoelectric Control. - Shriram Tallam Puranam Raghu; Dawn MacIsaac; Erik J. Scheme (IEEE J. Biomed. Health Informatics, 2023)

Towards Robust and Interpretable EMG-based Hand Gesture Recognition using Deep Metric Meta Learning. - Simon Tam 003; Shriram Tallam Puranam Raghu; Étienne Buteau; Erik J. Scheme; Mounir Boukadoum; Alexandre Campeau-Lecours; Benoit Gosselin (CoRR, 2024)

Efficient Multi-Positioned Training for Regression-Based Myoelectric Control: Exploring Transformer Models with Transfer Learning. - Shriram Tallam Puranam Raghu; Heather E. Williams; Erik J. Scheme (ICORR, 2025)

Self-supervised learning via VICReg enables training of EMG pattern recognition using continuous data with unclear labels. - Shriram Tallam Puranam Raghu; Dawn T. MacIsaac; Erik J. Scheme (Comput. Biol. Medicine, 2025)