Analysis Of Bioelectric And Non Bioelectric Input Control Based Upper Limb Rehabilitation Robots For Post- Stroke Patient-A Systematic Review

Abstract

Objectives: Hemiplegia is a neurological disease followed by a stroke that affects the area of the cerebral cortex in the one side of the brain also causes loss of motion in the opposite of body part (Hand and leg). Post-stroke patients can't do their daily activities without independence, for this repeated physical exercise helps to recover motor function. The upper limb has more freedom compared to the lower limb also takes more time to recover. Researchers developed different upper extremity rehabilitation robots for post-stroke patients to improve their functional motor ability from their home. Still, the complication in this process is - knowledge need to operate the device, the weight of the robot, and high cost. Researchers have been continuously trying to implement innovative ideas.

Methods: Research articles collected from Pub Med, Cochrane, and Google Scholar databases with the keywords are strokes, upper limbs, and rehabilitation robots. Total research articles are 582 after excluded process finally 33 research articles are considered for studies.

Results: This study aimed to classify the upper-limb rehabilitation robots based on input controls (bioelectric signals - E.E.G., E.M.G., E.O.G. and Non-bioelectric signals-Force, torque, and impedance) and analysis its outcomes.

Discussion: This review shows different input controls, classification of upper limb rehabilitation robot based on biological and non-biological input control, clinical testing methods and outcomes. And also explored the general challenges and developmental needs for future studies to improve the quality of life of post-stroke patients