2021
A Deep Learning Model for Automatic Sleep Scoring using Multimodality Time Series
Yan R, Li F, Zhou D, Ristaniemi T, Cong F. A Deep Learning Model for Automatic Sleep Scoring using Multimodality Time Series. 2021, 00: 1090-1094. DOI: 10.23919/eusipco47968.2020.9287518.Peer-Reviewed Original ResearchAutomatic sleep scoringRecalibrate channel-wise feature responsesEnd-to-end deep learning architectureChannel-wise feature responsesTwo-dimensional convolutional neural networkPublic sleep datasetsMultimodal time seriesAutomatically learn featuresConvolutional neural networkDeep learning architectureSleep-EDF datasetEnd-to-endDeep learning modelsMulti-modal signalsAutomated sleep scoringSoftmax classifierLearning architectureFeature responsesNeural networkSleep datasetsSHHS datasetLearning modelsComputational costDatasetInput channels
2020
Automatic sleep scoring: A deep learning architecture for multi-modality time series
Yan R, Li F, Zhou D, Ristaniemi T, Cong F. Automatic sleep scoring: A deep learning architecture for multi-modality time series. Journal Of Neuroscience Methods 2020, 348: 108971. PMID: 33160019, DOI: 10.1016/j.jneumeth.2020.108971.Peer-Reviewed Original ResearchConceptsState-of-the-art methodsTwo-dimensional convolutional neural networkApplication of transfer learningShort-term memory moduleChannel-wise featuresState-of-the-artConvolutional neural networkDeep learning architectureAutomatic sleep scoringAutomated sleep scoringPolysomnographic signalsLearning architectureTransfer learningPublic datasetsHyper-parametersModel architectureClassification accuracyNeural networkDecision layerContextual relationsComputational costMismatched channelsMemory modulesDatasetArchitecture
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