Rademics Research Institute

Abstract

Rehabilitation robotics has emerged as a transformative approach in the management of various neurodegenerative disorders, offering novel solutions to enhance patient recovery. This chapter explores the integration of advanced robotic technologies in adaptive rehabilitation systems, focusing on their role in personalized care for conditions such as Parkinson’s disease and multiple sclerosis. By leveraging adaptive control strategies, real-time biosignal processing, and artificial intelligence, rehabilitation robots can provide individualized therapeutic interventions that address the unique needs of each patient. The chapter highlights the applications of robotic exoskeletons, robotic arms, and wearable devices in improving motor function, muscle strength, and overall mobility. Key challenges in the field, including safety, patient acceptance, and the need for customizable systems, are also discussed. The role of AI-based decision support systems in enhancing clinical practice and providing real-time feedback to clinicians was examined. Ultimately, this chapter underscores the potential of rehabilitation robotics to revolutionize patient care, offering a promising future for improving the quality of life for individuals with neurodegenerative disorders. 

Introduction

Rehabilitation robotics has emerged as a groundbreaking field in the medical domain, particularly in the management and treatment of neurodegenerative disorders such as Parkinson’s disease and multiple sclerosis [1]. These conditions are characterized by progressive impairments in motor functions, balance, and coordination, often leading to significant physical disability and reduced quality of life [2]. Traditional rehabilitation methods, while effective to a degree, frequently face challenges due to the unpredictable progression of these disorders, the variability of symptoms, and the limitations of human resources [3]. Rehabilitation robotics, however, introduces the potential for more personalized, consistent, and scalable therapy that can adapt to the changing needs of patients over time [4]. By providing automated and precise interventions, these technologies offer patients the possibility of more intensive rehabilitation sessions, regardless of their disease progression [5]. One of the main advantages of rehabilitation robotics was its ability to provide tailored therapeutic support based on individual patient needs [6]. Neurodegenerative disorders often manifest with different symptoms, affecting patients in varying degrees [7,8]. Robotic systems, equipped with advanced sensors and artificial intelligence, are capable of dynamically adjusting their assistance based on real-time data gathered from the patient [9]. This adaptability enables these systems to continuously optimize their interventions, ensuring that patients receive the most effective treatment for their specific condition [10]. For example, a robotic exoskeleton designed for Parkinson’s patients can automatically modify its support to compensate for tremors or rigidity, providing the necessary assistance to enhance motor performance without overexerting the patient [11]. This level of personalization was difficult to achieve with traditional rehabilitation approaches, which often rely on generalized exercises that not address individual patient requirements [12].