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Robotics and Neuroscience in Rehabilitation: Modern Approaches to Motor Disorders
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Author(s): Alexander Zakharov (Samara Medical University, Russia), Elena Khivintseva (Samara State Medical University, Russia), Mariya Sergeeva (Samara State Medical University, Russia), Igor Shirolapov (Samara State Medical University, Russia), Natalia Romanchuk (Samara State Medical University, Russia), Yuliya Komarova (Samara State Medical University, Russia), Vladimir А. Kalinin (Samara State Medical University, Russia)and Sergey Chaplygin (Samara State Medical University, Russia)
Copyright: 2026
Pages: 32
Source title:
The Emerging Role of Advanced Technologies in Neurological Diseases
Source Author(s)/Editor(s): Adnène Arbi (National Institute of Applied Sciences and Technology, University of Carthage, Tunisia & Laboratory of Mathematical Engineering, Tunisia Polytechnic School, University of Carthage, Tunisia)and Walid Ben Ameur (Faculty of Sciences of Gabes, Tunisia)
DOI: 10.4018/979-8-3373-2706-8.ch006
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Abstract
This monograph explores the intersection of robotics and neuroscience in the field of motor neurorehabilitation, focusing on the development and application of brain-computer interface (BCI) systems. Emphasizing principles of neuroplasticity, it examines how technologies such as EEG-based BCI, functional electrical stimulation (FES), virtual reality (VR), and robotic exoskeletons can be integrated into closed-loop, feedback-rich rehabilitation platforms. Special attention is given to hybrid systems combining multiple sensory modalities to enhance user engagement and therapeutic outcomes. The monograph also discusses current challenges in clinical translation, including signal variability, training demands, and hardware limitations, while highlighting promising advances in AI-driven algorithms, wearable EEG solutions, and co-adaptive control strategies. Overall, it argues for a shift toward personalized, home-based rehabilitation technologies that empower patients with motor impairments to achieve greater autonomy and functional recovery.
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