Neural Tissue Stimulation: CMOS Technology

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Covers the neuroengineering of Parkinson's disease, focusing on deep brain stimulation and its therapeutic effects on motor symptoms.

Explores neural signals, EMG control, muscle synergies, and HD-EMG for prosthetic devices.

Explores the fundamentals and applications of Deep Brain Stimulation, including its evolution, basic principles, and future prospects.

Explores CMOS circuits for DNA detection, focusing on charge-based capacitance measurement methods and amperometric detection.

Discusses tools for high-performance neural tissue recording and stimulation, including CMOS integration and extracellular recording techniques.

Explores intramuscular EMG signals, targeted muscle reinnervation, and neural interfaces for prosthetic control.

Explores decoding neural signals for neuroprostheses, including muscle force production and spike detection.

Explores the structure and properties of the brain's mechanics, including neural signals, electrodes, electrochemistry, and brain sizes.

Explores the historical timeline and components of neural interfaces, key concepts of human body systems, and medtech technologies.

Covers hybrid neural models for neuroprosthetics, nerve stimulation optimization, and grasping restoration after spinal cord injury.

Explores the advancements in brain-machine interfaces and visual prostheses, addressing challenges and future prospects.

This study aimed to investigate the influence of the brain on the brain behavior.

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