AIMC Topic: Electrodes

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A Gesture Recognition Method with a Charge Induction Array of Nine Electrodes.

Sensors (Basel, Switzerland) Feb 3, 2022
In order to develop a non-contact and simple gesture recognition technology, a recognition method with a charge induction array of nine electrodes is proposed. Firstly, the principle of signal acquisition based on charge induction is introduced, and ...
Neural Networks, Computer Hand Electrodes Recognition, Psychology Algorithms Gestures
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Continuous Scoring of Depression From EEG Signals via a Hybrid of Convolutional Neural Networks.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Jan 31, 2022
Depression score is traditionally determined by taking the Beck depression inventory (BDI) test, which is a qualitative questionnaire. Quantitative scoring of depression has also been achieved by analyzing and classifying pre-recorded electroencephal...
Scalp Humans Neural Networks, Computer Electroencephalography Depression Electrodes
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Deep learning assisted distinguishing of honey seasonal changes using quadruple voltammetric electrodes.

Talanta Jan 6, 2022
The work presents innovative quadruple disk iridium, platinum, and iridium-platinum voltammetric electrodes with a special design, dedicated to the testing of samples with a complex organic composition. Noble metal wires are tightened in one silver r...
Electronic Nose Seasons Honey Deep Learning Electrodes
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Enhancing electrocardiographic analysis by combining a high-resolution 12-lead ECG with novel software tools.

Journal of electrocardiology Dec 11, 2021
INTRODUCTION: Signal-averaged electrocardiography is a non-invasive, computerized technique that amplifies, filters, and averages cardiac electrical signals reducing contaminating noise to obtain a high-resolution record. The most widely used signal ...
Software Electrocardiography Electrodes Humans Artificial Intelligence
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Unifying information theory and machine learning in a model of electrode discrimination in cochlear implants.

PloS one Sep 20, 2021
Despite the development and success of cochlear implants over several decades, wide inter-subject variability in speech perception is reported. This suggests that cochlear implant user-dependent factors limit speech perception at the individual level...
Cochlear Implantation Models, Theoretical Cochlear Implants Pitch Discrimination Electrodes Humans Machine Learning
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Agile reversible shape-morphing of particle rafts.

Soft matter Aug 2, 2021
Materials that transform shapes responding to external stimuli can bring unprecedented innovations to soft matter physics, soft robotics, wearable electronics, and architecture. As most conventional soft actuation technologies induce large deformatio...
Electronics Membrane Microdomains Polymers Electrodes Humans Robotics
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EEG-Based Emotion Recognition by Convolutional Neural Network with Multi-Scale Kernels.

Sensors (Basel, Switzerland) Jul 27, 2021
Besides facial or gesture-based emotion recognition, Electroencephalogram (EEG) data have been drawing attention thanks to their capability in countering the effect of deceptive external expressions of humans, like faces or speeches. Emotion recognit...
Electrodes Arousal Emotions Humans Electroencephalography Neural Networks, Computer
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Eye-Movement-Controlled Wheelchair Based on Flexible Hydrogel Biosensor and WT-SVM.

Biosensors Jun 16, 2021
To assist patients with restricted mobility to control wheelchair freely, this paper presents an eye-movement-controlled wheelchair prototype based on a flexible hydrogel biosensor and Wavelet Transform-Support Vector Machine (WT-SVM) algorithm. Cons...
Electrodes Hydrogels Electrooculography Humans Wheelchairs Algorithms Wavelet Analysis Eye Movements Electroencephalography Biosensing Techniques Signal Processing, Computer-Assisted Support Vector Machine
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Real-time, automatic, open-source sleep stage classification system using single EEG for mice.

Scientific reports May 27, 2021
We developed a real-time sleep stage classification system with a convolutional neural network using only a one-channel electro-encephalogram source from mice and universally available features in any time-series data: raw signal, spectrum, and zeitg...
Mice Electroencephalography Electrodes Algorithms Neural Networks, Computer Sleep Stages Signal Processing, Computer-Assisted Animals Superficial Back Muscles Electromyography
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Detecting cells rotations for increasing the robustness of cell sizing by impedance measurements, with or without machine learning.

Cytometry. Part A : the journal of the International Society for Analytical Cytology May 7, 2021
The Coulter principle is a widespread technique for sizing red blood cells (RBCs) in hematological analyzers. It is based on the monitoring of the electrical perturbations generated by cells passing through a micro-orifice, in which a concentrated el...
Cell Size Electric Impedance Erythrocytes Machine Learning Electrodes
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