00946nam0-2200337---450-99000988701040332120140722102423.0047174445X000988701FED01000988701(Aleph)000988701FED0100098870120140722d1973----km-y0itay50------baengUS--------001yyInjection moldingtheory and practiceIrvin I. Rubin.New YorkWiley1973XIII, 657 p.ill.23c mSPE monographs"A Wiley-Interscience publication." Includes bibliographical references.Plastica668RubinIrvin I.<1919 ->523506ITUNINARICAUNIMARCBK99000988701040332114 P.010.0104412DINMPDINMPInjection molding829523UNINA03406nam 22005895 450 991102215870332120250825130200.0978303202485510.1007/978-3-032-02485-5(CKB)40420178500041(MiAaPQ)EBC32271496(Au-PeEL)EBL32271496(DE-He213)978-3-032-02485-5(EXLCZ)994042017850004120250825d2025 u| 0engur|||||||||||txtrdacontentcrdamediacrrdacarrierDevelopment of Biocooperative Control Strategies for Neuromotor Rehabilitation Robotic Platforms A Real-Time Embedded Approach for Enhanced Human-Robot Interaction /by Ana Cisnal de la Rica1st ed. 2025.Cham :Springer Nature Switzerland :Imprint: Springer,2025.1 online resource (122 pages)Springer Theses, Recognizing Outstanding Ph.D. Research,2190-50619783032024848 Introduction -- Hypotheses and Objectives -- Materials and methods -- Results.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. .Springer Theses, Recognizing Outstanding Ph.D. Research,2190-5061Neurotechnology (Bioengineering)RoboticsUser interfaces (Computer systems)Human-computer interactionNeuroengineeringRobotic EngineeringUser Interfaces and Human Computer InteractionNeurotechnology (Bioengineering)Robotics.User interfaces (Computer systems)Human-computer interaction.Neuroengineering.Robotic Engineering.User Interfaces and Human Computer Interaction.610.28Cisnal de la Rica Ana1845642MiAaPQMiAaPQMiAaPQBOOK9911022158703321Development of Biocooperative Control Strategies for Neuromotor Rehabilitation Robotic Platforms4429451UNINA