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@article{179564,
        author = {Sejal Behera and Om Vijay Mangate and Pratham Nilesh Shah and Tarang Lalit Patni and Jayashree Rajesh Prasad},
        title = {A Review of Brain-Computer Interface Applications for Robotic Limb Control in Motor Rehabilitation},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {12},
        pages = {7146-7150},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=179564},
        abstract = {The integration of Brain-Computer Interface (BCI) technologies with robotic systems has opened transformative pathways in neurorehabilitation, particularly for individuals experiencing upper limb motor impairments due to stroke, spinal cord injury, or neurodegenerative diseases. This review presents an extensive survey of BCI-based robotic arm systems, synthesizing key advances in signal acquisition, feature extraction, classification techniques, control strategies, and clinical validation studies. The paper critically analyzes current methodologies, system architectures, technical limitations, and identifies avenues for future enhancements including real-time integration, adaptive control, and multisensory feedback systems.},
        keywords = {Brain-Computer Interface, Motor Imagery, EEG, Robotic Arm, Neurorehabilitation, Spiking Neural Networks, Deep Learning, Real-Time Control.},
        month = {May},
        }