AIMC Topic: Electrodes

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A flexible touch-pressure sensor array with wireless transmission system for robotic skin.

The Review of scientific instruments Jun 1, 2016
Human skin contains multiple receptors and is able to sense various stimuli such as temperature, touch, pressure, and deformation, with high sensitivity and resolution. The development of skin-like sensors capable of sensing these stimuli is of great...
Robotics Electrodes Touch Silicone Elastomers Skin, Artificial
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Bubble-free electrokinetic flow with propylene carbonate.

Electrophoresis Oct 1, 2015
For electroosmotic pumping, a large direct-current (DC) electric field (10+ V/cm) is applied across a liquid, typically an aqueous electrolyte. At these high voltages, water undergoes electrolysis to form hydrogen and oxygen, generating bubbles that ...
Robotics Equipment Design Electrodes Microfluidic Analytical Techniques Electroosmosis Propane
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Characterization of complexity in the electroencephalograph activity of Alzheimer's disease based on fuzzy entropy.

Chaos (Woodbury, N.Y.) Aug 1, 2015
In this paper, experimental neurophysiologic recording and statistical analysis are combined to investigate the nonlinear characteristic and the cognitive function of the brain. Fuzzy approximate entropy and fuzzy sample entropy are applied to charac...
Humans Brain Female Aged Male Case-Control Studies Fuzzy Logic Models, Neurological Electroencephalography Signal Processing, Computer-Assisted Electrodes Alzheimer Disease Entropy Alpha Rhythm
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On the use of convolutional neural networks and augmented CSP features for multi-class motor imagery of EEG signals classification.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jan 1, 2015
Learning the deep structures and unknown correlations is important for the detection of motor imagery of EEG signals (MI-EEG). This study investigates the use of convolutional neural networks (CNNs) for the classification of multi-class MI-EEG signal...
Humans Neural Networks, Computer Algorithms Electroencephalography Signal Processing, Computer-Assisted Electrodes Movement
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