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Lecture
Bionic Artificial Limbs: Challenges and Innovations
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Related lectures (32)
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Neural Signals and Signal Processing
Explores neural signals, EMG control, muscle synergies, and HD-EMG for prosthetic devices.
Bionic Limbs: Bridging Neuroengineering and Prosthetics
Discusses advancements in neuroengineering for developing bionic limbs and enhancing sensory feedback for improved user experience.
Neural Signals and Signal Processing
Explores neural signals, EMG processing, muscle synergies, and prosthetic control using advanced signal processing techniques.
Sensory Feedback in Neuroprosthetics
Explores the importance of real-time sensory feedback in enhancing the control and functional impact of prosthetic hands through various neuroengineering methods.
Optimization of Neuroprosthetic Systems
Explores the optimization of neuroprosthetic systems, including sensory feedback restoration and neural stimulation strategies.
Neural Signals and Prosthetic Control
Explores intramuscular EMG signals, targeted muscle reinnervation, and neural interfaces for prosthetic control.
Neural Interfaces: Decoding Signals for Neuroprostheses
Explores decoding neural signals for neuroprostheses, including muscle force production and spike detection.
Neural Signals and Signal Processing
Explores neural signal processing for brain-computer interfaces, including decoding techniques like Kalman filters and spike sorting.
Neural Interfaces: Fundamentals of Neuroengineering
Explores the fundamentals of neural interfaces, covering design principles, evolution of cortical interfaces, and innovations in electrode technology.
Neuroengineering: Sensory Feedback and Prosthetic Control
Delves into sensory feedback mechanisms and biomimetic encoding for artificial limbs.
