A Review of 3D Printing Technology for the Development of Exoskeletons for Upper Limb Rehabilitation

This review focuses on various control systems and provides a thorough overview of developments in wearable hand exoskeletons for post-stroke rehabilitation. The Scopus database was used to compile a dataset of scholarly papers in order to comprehend the state of the study in this area at the moment. A total of 1482 papers from 84 different nations were found. Using a VOS viewer, the acquired data was analyzed to identify significant clusters and relationships in the literature. The study identifies four major clusters, each reflecting a different facet of control techniques in wearable hand exoskeletons: human, robotic exoskeletons, electromyography, and biomechanics. The analysis demonstrates an increasing interest in novel control strategies, including hybrid control systems, brain-computer interface (BCI) control, myoelectric control, and impedance control. These tactics present opportunities for improving post-stroke patients’ rehabilitation outcomes. This review article clarifies the quick developments and various control methods in wearable hand exoskeletons for post-stroke therapy. In order to provide efficient and individualized solutions, the analysis emphasizes the value of multidisciplinary collaboration among engineers, physicians, and researchers. For academics and practitioners hoping to contribute to the continued advancement in this crucial area of rehabilitation technology, the identified problems and future directions offer insightful information that is helpful.