Deep convolutional neural network for the automated detection and diagnosis of seizure using EEG signals

U. Rajendra Acharya, Shu Lih Oh, Yuki Hagiwara, +2

Computers in Biology and Medicine

NeurophysiologyComputational NeuroscienceNeuroinformaticsEeg Signal ProcessingBraincomputer Interface +8

A deep convolutional neural network model to classify heartbeats

U. Rajendra Acharya, Shu Lih Oh, Yuki Hagiwara, +4

Computers in Biology and Medicine

Biosignal ProcessingEngineeringMachine LearningDeep Learning

Application of deep convolutional neural network for automated detection of myocardial infarction using ECG signals

U. Rajendra Acharya, Hamido Fujita, Shu Lih Oh, +3

Information Sciences

Convolutional Neural NetworkEcg SignalsMyocardial InfarctionAutomated DetectionDeep Learning +2

Automated detection of arrhythmias using different intervals of tachycardia ECG segments with convolutional neural network

U. Rajendra Acharya, Hamido Fujita, Oh Shu Lih, +3

Information Sciences

Electrophysiological EvaluationConvolutional Neural NetworkEngineeringMachine LearningPattern Recognition +9

Automated EEG-based screening of depression using deep convolutional neural network

U. Rajendra Acharya, Shu Lih Oh, Yuki Hagiwara, +3

Computer Methods and Programs in Biomedicine

Neuroimaging BiomarkersPsychiatryEeg Signal ProcessingDepressionNeuroimaging +6

A deep learning approach for Parkinson’s disease diagnosis from EEG signals

Shu Lih Oh, Yuki Hagiwara, U. Raghavendra, +4

Neural Computing and Applications

Neuroimaging BiomarkersEngineeringMachine LearningIntelligent DiagnosticsComputational Neuroscience +12

Application of stacked convolutional and long short-term memory network for accurate identification of CAD ECG signals

Jen Hong Tan, Yuki Hagiwara, Winnie Pang, +6

Computers in Biology and Medicine

Electrophysiological EvaluationEngineeringMachine LearningBiosignal ProcessingEeg Signal Processing +10

Deep convolutional neural network for the automated diagnosis of congestive heart failure using ECG signals

U. Rajendra Acharya, Hamido Fujita, Shu Lih Oh, +4

Applied Intelligence

Convolutional Neural NetworkHeart FailureEcg SignalsMachine LearningEngineering +12

Automated identification of shockable and non-shockable life-threatening ventricular arrhythmias using convolutional neural network

U. Rajendra Acharya, Hamido Fujita, Shu Lih Oh, +5

Future Generation Computer Systems

Electrophysiological EvaluationHeart FailureEngineeringMachine LearningCardiogenic Shock +10

Automated characterization and classification of coronary artery disease and myocardial infarction by decomposition of ECG signals: A comparative study

U. Rajendra Acharya, Hamido Fujita, Muhammad Adam, +8

Information Sciences

Electrophysiological EvaluationEcg SignalsCardiovascular DiseaseBiosignal ProcessingElectrocardiography +12