Enhancing Neurorehabilitation through Closed-Loop Control of Robotic Exoskeletons and Brain-Computer Interfaces

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T. Poovishnu Devi, Sonal Bordia Jain, Malpe Kalpana Devidas, Manasi P. Deore, Smita Patil, Shailesh V. Kulkarni


Neurorehabilitation is an important part of getting better for people who have nerve illnesses or accidents. Brain-computer interfaces (BCIs) and robotic exoskeletons have shown promise in better recovery results by allowing focused therapy and making neurons more flexible. This paper gives an outline of the current study on closed-loop control systems that combine robotic exoskeletons and brain-computer interfaces (BCIs) for neurorehabilitation. It also talks about the pros and cons of these systems. Closed-loop control systems try to make two-way communication possible between the user's brain activity (measured by BCIs) and the robotic suit. This way, treatments can be changed in real time based on the user's neurological signs. This method makes it possible for more personalized and flexible therapy plans, which can help people recover their movement skills and become more useful. When BCIs are combined with artificial exoskeletons, they offer many benefits, such as exact control over movement parameters, increased involvement and motivation through immersive feedback, and the chance to induce learning by coordinating brain activity and physical output. To make these systems work better, though, problems like signal processing delay, calibration issues, and the need for user training must be fixed. Recent research has shown that closed-loop control systems can be used and might be helpful in a number of neurorehabilitation situations, such as helping people who have had a stroke or spinal cord injury get their movement skills back and helping people with neurological conditions regain their independence. In the future, researchers should work on improving these systems' algorithms and hardware, running large-scale clinical studies to show that they work, and finding new ways to improve neurorehabilitation results by combining modern technology.

Article Details

Author Biography

T. Poovishnu Devi, Sonal Bordia Jain, Malpe Kalpana Devidas, Manasi P. Deore, Smita Patil, Shailesh V. Kulkarni

[1]Dr. T. Poovishnu Devi

2Dr. Sonal Bordia Jain

3Dr. Mrs. Malpe Kalpana Devidas

4Dr. Manasi P. Deore

5Dr. Smita Patil

6Dr. Shailesh V. Kulkarni


[1] Associate Professor & HOD, Department of Cardiopulmonary Sciences, Krishna College of Physiotherapy, Krishna Vishwa Vidyapeeth (Deemed to be University), Karad. Email: vishnudevi25@yahoo.com

2Associate Professor, Department of Computer Science, S. S. Jain Subodh P. G. College, Jaipur, India. Email: sonalbordiajain@gmail.com

3Associate Professor, Department of Computer Sciences, Guru Nanak Institute of Technology (GNIT), College in Nagpur, Maharashtra. 

4Assistant Professor, Electrical Engineering Department, Dr. D. Y. Patil Institute of Technology, Pimpri, Pune, Maharashtra, India. manasi.deore@dypvp.edu.in

5Assistant Professor & HOD, Department of Sports Physiotherapy, Krishna College of Physiotherapy, Krishna Vishwa Vidyapeeth (Deemed to be University), Karad. Email: smitakanase@gmail.com

6Professor, Department of Electronics and Telecommunication Engineering, Vishwakarma Institute of Information Technology, Pune, Maharashtra, India. shailesh.kulkarni@viit.ac.in

Corresponding: Dr. Sonal Bordia Jain (sonalbordiajain@gmail.com)



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