AIMC Topic:
Signal Processing, Computer-Assisted

Clear Filters Showing 1261 to 1270 of 1883 articles

A study of time-frequency features for CNN-based automatic heart sound classification for pathology detection.

Computers in biology and medicine Jun 25, 2018
This study concerns the task of automatic structural heart abnormality risk detection from digital phonocardiogram (PCG) signals aiming at pediatric heart disease screening applications. Recently, various systems based on convolutional neural network...
Signal Processing, Computer-Assisted Heart Defects, Congenital Heart Sounds Humans Neural Networks, Computer Databases, Factual
View on PubMed DOI

Transductive Joint-Knowledge-Transfer TSK FS for Recognition of Epileptic EEG Signals.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Jun 25, 2018
Intelligent recognition of electroencephalogram (EEG) signals is an important means to detect seizure. Traditional methods for recognizing epileptic EEG signals are usually based on two assumptions: 1) adequate training examples are available for mod...
Electroencephalography Epilepsy Young Adult Seizures Signal Processing, Computer-Assisted Models, Theoretical Male Machine Learning Transfer, Psychology Infant Support Vector Machine Humans Algorithms Artificial Intelligence Female Adolescent Child, Preschool Child Fuzzy Logic
View on PubMed DOI

A support vector machine approach for AF classification from a short single-lead ECG recording.

Physiological measurement Jun 25, 2018
OBJECTIVE: In this paper, a support vector machine (SVM) approach using statistical features, P wave absence, spectrum features, and length-adaptive entropy are presented to classify ECG rhythms as four types: normal rhythm, atrial fibrillation (AF),...
Humans Atrial Fibrillation Signal-To-Noise Ratio Entropy Electrocardiography Support Vector Machine Signal Processing, Computer-Assisted
View on PubMed DOI

Automated detection of electroencephalography artifacts in human, rodent and canine subjects using machine learning.

Journal of neuroscience methods Jun 23, 2018
BACKGROUND: Electroencephalography (EEG) invariably contains extra-cranial artifacts that are commonly dealt with based on qualitative and subjective criteria. Failure to account for EEG artifacts compromises data interpretation.
Humans Machine Learning Animals Electroencephalography Signal Processing, Computer-Assisted Dogs ROC Curve Rats Rats, Sprague-Dawley Artifacts Brain Waves
View on PubMed DOI

Design and Evaluation of a Motorized Robotic Bed Mover With Omnidirectional Mobility for Patient Transportation.

IEEE journal of biomedical and health informatics Jun 21, 2018
Patient transportation in hospitals faces many challenges, including the limited manpower, work-related injuries, and low efficiency of current bed pushing methods. This paper presents a new motorized robotic bed mover with omnidirectional mobility t...
Man-Machine Systems Beds Female Humans Transportation of Patients Young Adult Signal Processing, Computer-Assisted Male Adult Electromyography Robotics Task Performance and Analysis Equipment Design
View on PubMed DOI

Multiclass classification of obstructive sleep apnea/hypopnea based on a convolutional neural network from a single-lead electrocardiogram.

Physiological measurement Jun 20, 2018
OBJECTIVE: In this paper, we propose a convolutional neural network (CNN)-based deep learning architecture for multiclass classification of obstructive sleep apnea and hypopnea (OSAH) using single-lead electrocardiogram (ECG) recordings. OSAH is the ...
Sleep Apnea Syndromes Sleep Apnea, Obstructive Middle Aged Electrocardiography Signal Processing, Computer-Assisted Neural Networks, Computer Humans Female Male
View on PubMed DOI

Application of an optimal class of antisymmetric wavelet filter banks for obstructive sleep apnea diagnosis using ECG signals.

Computers in biology and medicine Jun 19, 2018
Obstructive sleep apnea (OSA) is a sleep disorder caused due to interruption of breathing resulting in insufficient oxygen to the human body and brain. If the OSA is detected and treated at an early stage the possibility of severe health impairment c...
Support Vector Machine Signal Processing, Computer-Assisted Sleep Apnea, Obstructive Humans Diagnosis, Computer-Assisted Electrocardiography
View on PubMed DOI

A novel application of deep learning for single-lead ECG classification.

Computers in biology and medicine Jun 4, 2018
Detecting and classifying cardiac arrhythmias is critical to the diagnosis of patients with cardiac abnormalities. In this paper, a novel approach based on deep learning methodology is proposed for the classification of single-lead electrocardiogram ...
Signal Processing, Computer-Assisted Arrhythmias, Cardiac Humans Databases, Factual Deep Learning Electrocardiography
View on PubMed DOI

Heart Sound Segmentation-An Event Detection Approach Using Deep Recurrent Neural Networks.

IEEE transactions on bio-medical engineering Jun 1, 2018
OBJECTIVE: In this paper, we accurately detect the state-sequence first heart sound (S1)-systole-second heart sound (S2)-diastole, i.e., the positions of S1 and S2, in heart sound recordings. We propose an event detection approach without explicitly ...
Humans Neural Networks, Computer Algorithms Diastole Signal Processing, Computer-Assisted Heart Sounds Phonocardiography Sound Spectrography Systole
View on PubMed DOI

Estimating Brain Connectivity With Varying-Length Time Lags Using a Recurrent Neural Network.

IEEE transactions on bio-medical engineering Jun 1, 2018
OBJECTIVE: Computer-aided estimation of brain connectivity aims to reveal information propagation in brain automatically, which has great potential in clinical applications, e.g., epilepsy foci diagnosis. Granger causality is an effective tool for di...
Epilepsy Signal Processing, Computer-Assisted Nerve Net Humans Neural Networks, Computer Algorithms Brain Models, Statistical Electroencephalography
View on PubMed DOI
Popular Topics
Recent Journals