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1. Electromyographically controlled prosthetic wrist improves dexterity and reduces compensatory movements without added cognitive load.

2. New insights into muscle activity associated with phantom hand movements in transhumeral amputees.

3. Design and Development of a Powered Myoelectric Elbow Orthosis for Neuromuscular Injuries.

4. Phasor-Based Myoelectric Synergy Features: A Fast Hand-Crafted Feature Extraction Scheme for Boosting Performance in Gait Phase Recognition.

5. Perspectives on the comparative benefits of body-powered and myoelectric upper limb prostheses.

6. Unravelling Influence Factors in Pattern Recognition Myoelectric Control Systems: The Impact of Limb Positions and Electrode Shifts.

7. Wavelet Coherence Analysis of Post-Stroke Intermuscular Coupling Modulated by Myoelectric-Controlled Interfaces.

8. Optimizing Sensor Placement and Machine Learning Techniques for Accurate Hand Gesture Classification.

9. Design, analysis and development of low-cost 3D printed prosthetic hand.

10. FRENCH CONNECTIONS: Meet the clinicians with personal and professional ties to the 2024 Paralympic Games.

11. A novel pilot study to evaluate the efficacy and safety of a wireless patch system in patients with chronic nausea and vomiting.

12. De Hoogstraat Xperience Prosthesis Transhumeral: An Innovative Test Prosthesis.

13. Using Serious Games to Measure Upper-Limb Myoelectric Pattern Recognition Prosthesis Control Performance in an At-Home Environment.

14. Reducing Grip Uncertainty During Initial Prosthetic Hand Use Improves Eye-Hand Coordination and Lowers Mental Workload.

15. Review of the foreign market for bioelectrically controlled upper limb prostheses.

16. Targeted muscle reinnervation in bionic upper limb reconstruction: current status and future directions.

17. Alternative muscle synergy patterns of upper limb amputees.

18. MES-FES Interface Enhances Quadriceps Muscle Response in Sitting Position in Incomplete Spinal Cord Injury: Pilot Study.

20. Feasibility of Nerve Transfer to Palmaris Longus in Forearm-Level TMR: Anatomic Study and Clinical Series.

21. Performance in myoelectric pattern recognition improves with transcranial direct current stimulation.

22. A multifaceted suite of metrics for comparative myoelectric prosthesis controller research.

23. Machine learning for hand pose classification from phasic and tonic EMG signals during bimanual activities in virtual reality.

24. Developing a Novel Prosthetic Hand with Wireless Wearable Sensor Technology Based on User Perspectives: A Pilot Study.

25. A Comparison of Myoelectric Control Modes for an Assistive Robotic Virtual Platform.

26. Intelligent Human–Computer Interaction: Combined Wrist and Forearm Myoelectric Signals for Handwriting Recognition.

27. Context-informed incremental learning improves both the performance and resilience of myoelectric control.

28. The digital motor output: a conceptual framework for a meaningful clinical performance metric for a motor neuroprosthesis.

29. Development of a hand prosthesis control system with tactile feedback.

30. Development of a Mechanical Prototype of Myoelectric Prosthesis for Upper Limbs

31. Predicting triplanar and bidirectional movements for a transtibial prosthesis for rehabilitation using intelligent neural networks.

32. A hybrid sensory feedback system for thermal nociceptive warning and protection in prosthetic hand.

33. Evaluation of Hand Action Classification Performance Using Machine Learning Based on Signals from Two sEMG Electrodes.

34. Experimental evaluation of the impact of sEMG interfaces in enhancing embodiment of virtual myoelectric prostheses.

35. Enhancing Robustness of Surface Electromyography Pattern Recognition at Different Arm Positions for Transhumeral Amputees Using Deep Adversarial Inception Domain Adaptation.

36. Understanding Forearm Muscle Activity during Everyday Common Grasps: Insights for Rehabilitation, Prosthetic Control, and Human–Machine Interaction.

37. sEMG-Based Robust Recognition of Grasping Postures with a Machine Learning Approach for Low-Cost Hand Control.

38. Field experiment of a telesurgery system using a surgical robot with haptic feedback.

39. Improving sEMG-Based Hand Gesture Recognition through Optimizing Parameters and Sliding Voting Classifiers.

40. A quantitative comparison between the mHand Adapt passive adjustable hand prosthesis and its predecessor, the Delft Self-Grasping Hand.

41. Implications of EMG channel count: enhancing pattern recognition online prosthetic testing.

42. Development and Analysis of an Origami-Based Elastomeric Actuator and Soft Gripper Control with Machine Learning and EMG Sensors.

43. Functional and Rehabilitative Outcomes of Patients Affected by Bone Cancer of the Upper Limb Treated with MUTARS Prosthesis: A Narrative Review.

44. A Movement Classification of Polymyalgia Rheumatica Patients Using Myoelectric Sensors.

45. Interpreting Stroke-Impaired Electromyography Patterns through Explainable Artificial Intelligence.

46. An intelligent grasper to provide real-time force feedback to shorten the learning curve in laparoscopic training.

48. REACHING FOR EXCELLENCE: Position your facility as a go-to resource for upper-limb prosthetic care.

49. Training prosthesis users to switch between modes of a multi-articulating prosthetic hand.

50. Application of context-dependent interpretation of biosignals recognition to control a bionic multifunctional hand prosthesis.

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