Development of Biocooperative Control Strategies for Neuromotor Rehabilitation Robotic Platforms A Real-Time Embedded Approach for Enhanced Human-Robot Interaction

This book presents the development of a multimodal physiological signal acquisition system and cooperative control strategies for applications in upper-limb robotic rehabilitation.  First, it introduces a non-pattern recognition EMG-based platform for hand rehabilitation, demonstrating its strong performance in both gesture recognition accuracy and responsiveness. It also discusses the role of EMG-based visual feedback, showing how real-time visualization of muscle activation enhances user performance during training. In turn, it reports on the validation of a low-cost multimodal acquisition solution using two different real-time biocooperative control strategies. The results demonstrate that the developed low-cost wearable platform, which integrates multiple sensors, wireless communication, and a high-efficiency real-time microcontroller, is highly versatile and configurable, and shows a good signal quality. By addressing two main aspects that limit the adoption of biocooperative systems in clinical rehabilitation settings hardware affordability and system reliability this outstanding Ph.D. thesis paves the way to the implementation of real-time biocooperative controls for future applications in robotic rehabilitation.
 

Summary

This book presents the development of a multimodal physiological signal acquisition system and cooperative control strategies for applications in upper-limb robotic rehabilitation.  First, it introduces a non-pattern recognition EMG-based platform for hand rehabilitation, demonstrating its strong performance in both gesture recognition accuracy and responsiveness. It also discusses the role of EMG-based visual feedback, showing how real-time visualization of muscle activation enhances user performance during training. In turn, it reports on the validation of a low-cost multimodal acquisition solution using two different real-time biocooperative control strategies. The results demonstrate that the developed low-cost wearable platform, which integrates multiple sensors, wireless communication, and a high-efficiency real-time microcontroller, is highly versatile and configurable, and shows a good signal quality. By addressing two main aspects that limit the adoption of biocooperative systems in clinical rehabilitation settings – hardware affordability and system reliability – this outstanding Ph.D. thesis paves the way to the implementation of real-time biocooperative controls for future applications in robotic rehabilitation.
 

Product details

• Authors: Ana Cisnal de la Rica
• Publisher: Springer, Berlin
• Content: Book
• Product form: Hardback
• Publication date: 24.09.2025
• Subject: Natural sciences, medicine, IT, technology > Technology > Miscellaneous
• EAN: 9783032024848
• ISBN: 978-3-0-3202484-8
• Pages: 78
• Illustrations: XIX, 78 p. 38 illus., 35 illus. in color.
• Dimensions (packing): 15.5 x 0.8 x 23.5 cm
• Weight (packing): 286 g
• Series: Springer Theses
• Subjects: Robotik, Mensch-Computer-Interaktion, User Interfaces and Human Computer Interaction, Neuroengineering, human machine interaction, Robotic Engineering, Hand Rehabilitation Robot, Multimodal Physiological Acquisition System, Real-time Embedded Systems, Real-time Biocooperative Control, Adaptive Assistive Control, EMG-based Visual Feedback, Upper-limb Neurorehabilitation, Low-cost Wearable Devices, EMG-Driven Control