AIMC Topic: Signal Processing, Computer-Assisted

Clear Filters Showing 1001 to 1010 of 1999 articles

Adversarial Representation Learning for Robust Patient-Independent Epileptic Seizure Detection.

IEEE journal of biomedical and health informatics Feb 11, 2020
Epilepsy is a chronic neurological disorder characterized by the occurrence of spontaneous seizures, which affects about one percent of the worlds population. Most of the current seizure detection approaches strongly rely on patient history records a...
Brain Diagnosis, Computer-Assisted Deep Learning Electroencephalography Seizures Signal Processing, Computer-Assisted Humans Neural Networks, Computer
View on PubMed DOI

Deep Learning in Physiological Signal Data: A Survey.

Sensors (Basel, Switzerland) Feb 11, 2020
Deep Learning (DL), a successful promising approach for discriminative and generative tasks, has recently proved its high potential in 2D medical imaging analysis; however, physiological data in the form of 1D signals have yet to be beneficially expl...
Humans Electroencephalography Databases, Factual Signal Processing, Computer-Assisted Deep Learning Electromyography Electrocardiography
View on PubMed DOI

QuPWM: Feature Extraction Method for Epileptic Spike Classification.

IEEE journal of biomedical and health informatics Feb 7, 2020
Epilepsy is a neurological disorder ranked as the second most serious neurological disease known to humanity, after stroke. Inter-ictal spiking is an abnormal neuronal discharge after an epileptic seizure. This abnormal activity can originate from on...
Epilepsy Signal Processing, Computer-Assisted Brain Sensitivity and Specificity Electroencephalography Humans Machine Learning Algorithms
View on PubMed DOI

The Design of CNN Architectures for Optimal Six Basic Emotion Classification Using Multiple Physiological Signals.

Sensors (Basel, Switzerland) Feb 6, 2020
This study aimed to design an optimal emotion recognition method using multiple physiological signal parameters acquired by bio-signal sensors for improving the accuracy of classifying individual emotional responses. Multiple physiological signals su...
Adult Male Deep Learning Humans Neural Networks, Computer Female Heart Rate Respiration Blood Volume Emotions Principal Component Analysis Signal Processing, Computer-Assisted Physiological Phenomena
View on PubMed DOI

Accurate, Very Low Computational Complexity Spike Sorting Using Unsupervised Matched Subspace Learning.

IEEE transactions on biomedical circuits and systems Feb 4, 2020
This paper presents an adaptable dictionary-based feature extraction approach for spike sorting offering high accuracy and low computational complexity for implantable applications. It extracts and learns identifiable features from evolving subspaces...
Signal Processing, Computer-Assisted Models, Neurological Biomedical Engineering Action Potentials Electrodes, Implanted Unsupervised Machine Learning Algorithms
View on PubMed DOI

Towards Domain Invariant Heart Sound Abnormality Detection Using Learnable Filterbanks.

IEEE journal of biomedical and health informatics Jan 31, 2020
OBJECTIVE: Cardiac auscultation is the most practiced non-invasive and cost-effective procedure for the early diagnosis of heart diseases. While machine learning based systems can aid in automatically screening patients, the robustness of these syste...
Sensitivity and Specificity Humans Signal Processing, Computer-Assisted Heart Sounds Neural Networks, Computer Heart Diseases Algorithms Phonocardiography Databases, Factual
View on PubMed DOI

Hand Gesture Recognition Using Compact CNN Via Surface Electromyography Signals.

Sensors (Basel, Switzerland) Jan 26, 2020
By training the deep neural network model, the hidden features in Surface Electromyography(sEMG) signals can be extracted. The motion intention of the human can be predicted by analysis of sEMG. However, the models recently proposed by researchers of...
Hand Neural Networks, Computer Electromyography Gestures Algorithms Pattern Recognition, Automated Signal Processing, Computer-Assisted Reproducibility of Results Humans
View on PubMed DOI

An Optimal Electrical Impedance Tomography Drive Pattern for Human-Computer Interaction Applications.

IEEE transactions on biomedical circuits and systems Jan 20, 2020
In this article, we presented an optimal Electrical Impedance Tomography (EIT) drive pattern based on feature selection and model explanation, and proposed a portable EIT system for applications in human-computer interaction for gesture recognition a...
Humans Machine Learning Algorithms Gestures Image Processing, Computer-Assisted Signal Processing, Computer-Assisted Electric Impedance Pattern Recognition, Automated Wrist Tomography Electromyography Electrodes
View on PubMed DOI

Comprehensive electrocardiographic diagnosis based on deep learning.

Artificial intelligence in medicine Jan 20, 2020
Cardiovascular disease (CVD) is the leading cause of death worldwide, and coronary artery disease (CAD) is a major contributor. Early-stage CAD can progress if undiagnosed and left untreated, leading to myocardial infarction (MI) that may induce irre...
Coronary Artery Disease Myocardial Infarction Heart Diseases Heart Failure Deep Learning Humans Electrocardiography Neural Networks, Computer Signal Processing, Computer-Assisted
View on PubMed DOI

Recognition of Negative Emotion using Long Short-Term Memory with Bio-Signal Feature Compression.

Sensors (Basel, Switzerland) Jan 20, 2020
Negative emotion is one reason why stress causes negative feedback. Therefore, many studies are being done to recognize negative emotions. However, emotion is difficult to classify because it is subjective and difficult to quantify. Moreover, emotion...
Galvanic Skin Response Signal Processing, Computer-Assisted Skin Temperature Humans Neural Networks, Computer Adult Male Electrocardiography Emotions
View on PubMed DOI
Popular Topics
Recent Journals