AIMC Topic: Signal Processing, Computer-Assisted

Clear Filters Showing 1051 to 1060 of 1999 articles

Comparison of Bagging and Boosting Ensemble Machine Learning Methods for Automated EMG Signal Classification.

BioMed research international Oct 31, 2019
The neuromuscular disorders are diagnosed using electromyographic (EMG) signals. Machine learning algorithms are employed as a decision support system to diagnose neuromuscular disorders. This paper compares bagging and boosting ensemble learning met...
Male Female Humans Middle Aged Young Adult Machine Learning Muscle, Skeletal Adolescent Adult Databases, Factual Signal Processing, Computer-Assisted Child Sensitivity and Specificity Electromyography Muscular Diseases
View on PubMed DOI

Heart sound classification using the SNMFNet classifier.

Physiological measurement Oct 30, 2019
OBJECTIVE: Heart sound classification still suffers from the challenges involved in achieving high accuracy in the case of small samples. Dimension reduction attempts to extract low-dimensional features with more discriminability from high-dimensiona...
Databases, Factual Signal Processing, Computer-Assisted Medical Informatics Humans Heart Sounds Machine Learning
View on PubMed DOI

Incorporating feature selection methods into a machine learning-based neonatal seizure diagnosis.

Medical hypotheses Oct 28, 2019
The present study developed a feature selection (FS)-based decision support system using the electroencephalography (EEG) signals recorded from neonates with and without seizures. The study employed 10 different FS algorithms to reduce the classifica...
Humans Seizures Signal Processing, Computer-Assisted False Positive Reactions Machine Learning Algorithms Diagnosis, Computer-Assisted Infant, Newborn Decision Support Systems, Clinical Sensitivity and Specificity Cluster Analysis Electroencephalography
View on PubMed DOI

Heart Sound Segmentation Using Bidirectional LSTMs With Attention.

IEEE journal of biomedical and health informatics Oct 25, 2019
OBJECTIVE: This paper proposes a novel framework for the segmentation of phonocardiogram (PCG) signals into heart states, exploiting the temporal evolution of the PCG as well as considering the salient information that it provides for the detection o...
Phonocardiography Deep Learning Signal Processing, Computer-Assisted Heart Sounds Humans Neural Networks, Computer Female Animals Male
View on PubMed DOI

Robust sound event detection in bioacoustic sensor networks.

PloS one Oct 24, 2019
Bioacoustic sensors, sometimes known as autonomous recording units (ARUs), can record sounds of wildlife over long periods of time in scalable and minimally invasive ways. Deriving per-species abundance estimates from these sensors requires detection...
Birds Noise Signal Processing, Computer-Assisted Acoustics Vocalization, Animal Echolocation Flight, Animal Neural Networks, Computer Reproducibility of Results Animals
View on PubMed DOI

Dropping Counter: A Detection Algorithm for Identifying Odour-Evoked Responses from Noisy Electroantennograms Measured by a Flying Robot.

Sensors (Basel, Switzerland) Oct 21, 2019
The electroantennogram (EAG) is a technique used for measuring electrical signals from the antenna of an insect. Its rapid response time, quick recovery speed, and high sensitivity make it suitable for odour-tracking tasks employing mobile robots. Ho...
Biosensing Techniques Robotics Noise Signal Processing, Computer-Assisted Odorants Moths Arthropod Antennae Algorithms Animals Male
View on PubMed DOI

A Cascaded Convolutional Neural Network for Assessing Signal Quality of Dynamic ECG.

Computational and mathematical methods in medicine Oct 20, 2019
Motion artifacts and myoelectrical noise are common issues complicating the collection and processing of dynamic electrocardiogram (ECG) signals. Recent signal quality studies have utilized a binary classification metric in which ECG samples are dete...
Signal-To-Noise Ratio Databases, Factual Arrhythmias, Cardiac Female Heart Rate Reproducibility of Results Artifacts China Aged Humans Aged, 80 and over Signal Processing, Computer-Assisted Neural Networks, Computer Electrocardiography, Ambulatory Adult Algorithms Motion Male Middle Aged
View on PubMed DOI

Flexible Piezoelectric Acoustic Sensors and Machine Learning for Speech Processing.

Advanced materials (Deerfield Beach, Fla.) Oct 16, 2019
Flexible piezoelectric acoustic sensors have been developed to generate multiple sound signals with high sensitivity, shifting the paradigm of future voice technologies. Speech recognition based on advanced acoustic sensors and optimized machine lear...
Signal Processing, Computer-Assisted Acoustics Mechanical Phenomena Electricity Humans Machine Learning Speech
View on PubMed DOI

An Ensemble Learning Approach for Electrocardiogram Sensor Based Human Emotion Recognition.

Sensors (Basel, Switzerland) Oct 16, 2019
Recently, researchers in the area of biosensor based human emotion recognition have used different types of machine learning models for recognizing human emotions. However, most of them still lack the ability to recognize human emotions with higher c...
Support Vector Machine Emotions Electroencephalography Signal Processing, Computer-Assisted Machine Learning Algorithms Electrocardiography Heart Rate Humans
View on PubMed DOI

Atrial Fibrillation Burden Signature and Near-Term Prediction of Stroke: A Machine Learning Analysis.

Circulation. Cardiovascular quality and outcomes Oct 15, 2019
BACKGROUND: Atrial fibrillation (AF) increases the risk of stroke 5-fold and there is rising interest to determine if AF severity or burden can further risk stratify these patients, particularly for near-term events. Using continuous remote monitorin...
Stroke Atrial Fibrillation Proof of Concept Study Administrative Claims, Healthcare Logistic Models United States Predictive Value of Tests Signal Processing, Computer-Assisted Telemetry Prognosis Humans Risk Factors Veterans Health Services Middle Aged Retrospective Studies Neural Networks, Computer Aged Risk Assessment Electronic Health Records Aged, 80 and over Machine Learning Diagnosis, Computer-Assisted Female Male Time Factors
View on PubMed DOI
Popular Topics
Recent Journals