Abstract
Automation has created a mind-blowing impact in diversified fields all over the world. Not only in business but also in various domains like health care sectors, manufacturing, etc. a faultless execution is a prime concern. Robotic Process Automation has paved the way for research in the mechanical and mechatronics field. Software robots are trained well to complete repetitive tasks in an efficient manner. A design of such a soft robot can be greatly helpful in the arena of healing. Automation of Rehabilitation therapy has gained attention in recent years. The main aspiration towards the conduct of this research work is to accomplish a soft exoskeleton robot using a thin McKibben actuator applying Deep Learning approaches to aid automatic therapy to the paralyzed patients and help them carry out the hand movement-based exercises. Convolutional Neural Network (CNN) algorithm will be used to support the training of the AI-enabled automated device. The proposed methodology will support stroke survivors to perform exercises independently to enhance their hand motor recovery. For this purpose, it involves pneumatic soft actuator technology using thin McKibben artificial muscles to create a cognitive potential to induce rehabilitation. A soft actuator is proposed so as to confirm the safety purposes of stroke patients.
Highlights
Rehabilitation plays a vital role in recovering such brain attack patients
The input features are given as datasets and the system is trained for preferable hand movements
By using various deep learning classifiers, the accuracy of the motor movement is predicted and the results show that the Convolutional Neural Network (CNN) layers utilized to cross-validate the accuracy gives high efficiency
Summary
Rehabilitation plays a vital role in recovering such brain attack patients. Rehabilitation is essential in triggering motor skills and thereby ensuring a speedy recovery. The three main types of strokes are ischemic, transient ischemic, and hemorrhagic. This stroke causes different kinds of disabilities like paralysis, semi–paralysis, different ailments like problems in movements, language recognition, memory power, sensory and emotional disturbances. Early rehabilitation will greatly help and support overcoming these ailments. Robotic-assisted therapy or robotic therapy has become popular over the last decade. It helps in automating the measurement of force and the movement that needs to be applied to exercise the stroke patients.
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