Development of Biocooperative Control Strategies for Neuromotor Rehabilitation Robotic Platforms
Cisnal de la Rica, Ana
Produktnummer:
183eb613cd002141429c64fbdf51caa2cf
Autor: | Cisnal de la Rica, Ana |
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Themengebiete: | Adaptive Assistive Control EMG-Driven Control EMG-based Visual Feedback Hand Rehabilitation Robot Human Machine Interaction Low-cost Wearable Devices Multimodal Physiological Acquisition System Real-time Biocooperative Control Real-time Embedded Systems Upper-limb Neurorehabilitation |
Veröffentlichungsdatum: | 24.09.2025 |
EAN: | 9783032024848 |
Sprache: | Englisch |
Seitenzahl: | 102 |
Produktart: | Gebunden |
Verlag: | Springer International Publishing |
Untertitel: | A Real-Time Embedded Approach for Enhanced Human-Robot Interaction |
Produktinformationen "Development of Biocooperative Control Strategies for Neuromotor Rehabilitation Robotic Platforms"
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 PhD thesis paves the way to the implementation of real-time biocooperative controls for future applications in robotic rehabilitation.

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