AIMC Topic: Signal Processing, Computer-Assisted

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Linear and non-linear feature extraction from rat electrocorticograms for seizure detection by support vector machine.

Biomedizinische Technik. Biomedical engineering Aug 12, 2021
Seizures, the main symptom of epilepsy, are provoked due to a neurological disorder that underlies the disease. The accurate detection of seizures is a crucial step in any procedure of treatment. In the present study, electrocorticogram (ECoG) signal...
Algorithms Electroencephalography Epilepsy Seizures Signal Processing, Computer-Assisted Animals Rats Support Vector Machine
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Uncovering structured responses of neural populations recorded from macaque monkeys with linear support vector machines.

STAR protocols Aug 12, 2021
When a mammal, such as a macaque monkey, sees a complex natural image, many neurons in its visual cortex respond simultaneously. Here, we provide a protocol for studying the structure of population responses in laminar recordings with a machine learn...
Vision, Ocular Macaca mulatta Visual Cortex Magnetic Resonance Imaging Signal Processing, Computer-Assisted Male Animals Neurons Support Vector Machine
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Artificial Intelligence-Enabled ECG to Identify Silent Atrial Fibrillation in Embolic Stroke of Unknown Source.

Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association Jul 22, 2021
OBJECTIVES: Embolic strokes of unknown source (ESUS) are common and often suspected to be caused by unrecognized paroxysmal atrial fibrillation (AF). An AI-enabled ECG (AI-ECG) during sinus rhythm has been shown to identify patients with unrecognized...
Predictive Value of Tests Signal Processing, Computer-Assisted Registries Electrocardiography, Ambulatory Risk Assessment Time Factors Action Potentials Atrial Fibrillation Heart Rate Embolic Stroke Female Risk Factors Hospitalization Male Middle Aged Aged Humans Aged, 80 and over Artificial Intelligence
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Optimized adaptive Savitzky-Golay filtering algorithm based on deep learning network for absorption spectroscopy.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy Jul 16, 2021
An improved Savitzky-Golay (S-G) filtering algorithm was developed to denoise the absorption spectroscopy of nitrogen oxide (NO). A deep learning (DL) network was introduced to the traditional S-G filtering algorithm to adjust the window size and pol...
Exhalation Deep Learning Algorithms Signal Processing, Computer-Assisted Spectrum Analysis
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MEGnet: Automatic ICA-based artifact removal for MEG using spatiotemporal convolutional neural networks.

NeuroImage Jul 16, 2021
Magnetoencephalography (MEG) is a functional neuroimaging tool that records the magnetic fields induced by neuronal activity; however, signal from non-neuronal sources can corrupt the data. Eye-blinks, saccades, and cardiac activity are three of the ...
Humans Neural Networks, Computer Brain Female Signal Processing, Computer-Assisted Artifacts Blinking Magnetoencephalography Male Aged Middle Aged Young Adult Adolescent Adult Child
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A New Hybrid Forecasting Model Based on SW-LSTM and Wavelet Packet Decomposition: A Case Study of Oil Futures Prices.

Computational intelligence and neuroscience Jul 12, 2021
The crude oil futures prices forecasting is a significant research topic for the management of the energy futures market. In order to optimize the accuracy of energy futures prices prediction, a new hybrid model is established in this paper which com...
Neural Networks, Computer Forecasting Signal Processing, Computer-Assisted
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Artificial Intelligence Analysis of EEG Amplitude in Intensive Heart Care.

Journal of healthcare engineering Jul 2, 2021
This article first studied the morphological characteristics of the EEG for intensive cardiac care; that is, based on the analysis of the mechanism of disease diagnosis and treatment, a signal processing and machine learning model was constructed. Th...
Support Vector Machine Electroencephalography Humans Signal Processing, Computer-Assisted Artificial Intelligence Algorithms
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Exploring the Use of Brain-Computer Interfaces in Stroke Neurorehabilitation.

BioMed research international Jun 18, 2021
With the continuous development of artificial intelligence technology, "brain-computer interfaces" are gradually entering the field of medical rehabilitation. As a result, brain-computer interfaces (BCIs) have been included in many countries' strateg...
Stroke Brain-Computer Interfaces Orthotic Devices Stroke Rehabilitation Electroencephalography Equipment Design Wheelchairs Signal Processing, Computer-Assisted Brain Humans Neurological Rehabilitation Robotics Artificial Intelligence
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Objective pain stimulation intensity and pain sensation assessment using machine learning classification and regression based on electrodermal activity.

American journal of physiology. Regulatory, integrative and comparative physiology Jun 16, 2021
An objective measure of pain remains an unmet need of people with chronic pain, estimated to be 1/3 of the adult population in the United States. The current gold standard to quantify pain is highly subjective, based upon self-reporting with numerica...
Humans Machine Learning Female Adult Male Reproducibility of Results Young Adult Hot Temperature Sympathetic Nervous System Pain Threshold Signal Processing, Computer-Assisted Pain Perception Galvanic Skin Response Skin Severity of Illness Index Electrodiagnosis Feasibility Studies Predictive Value of Tests Pain Pain Measurement
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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...
Hydrogels Wavelet Analysis Electrooculography Wheelchairs Electroencephalography Algorithms Signal Processing, Computer-Assisted Humans Biosensing Techniques Support Vector Machine Eye Movements Electrodes
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