2019
Neuro-Detect: A Machine Learning-Based Fast and Accurate Seizure Detection System in the IoMT
Abu Sayeed, Mohanty S, Kougianos E, Zaveri H. Neuro-Detect: A Machine Learning-Based Fast and Accurate Seizure Detection System in the IoMT. IEEE Transactions On Consumer Electronics 2019, 65: 359-368. DOI: 10.1109/tce.2019.2917895.Peer-Reviewed Original ResearchDiscrete wavelet transformSeizure detection systemDeep neural network classifierDetection systemNeural network classifierIoT frameworkSmart healthcareThings (IoT) frameworkHjorth parametersMachine learningNetwork classifierReal-time detectionWavelet transformStatistical featuresLoop approachSeizure detectionClassifierEEG signalsEEG dataIoMTFrameworkInternetHardwareMachineSecond stage
2018
A Robust and Fast Seizure Detector for IoT Edge
Abu Sayeed, Mohanty S, Kougianos E, Yanambaka V, Zaveri H. A Robust and Fast Seizure Detector for IoT Edge. 2018, 00: 156-160. DOI: 10.1109/ises.2018.00042.Peer-Reviewed Original ResearchInternet of ThingsRemote health monitoringSeizure detection frameworkNaive Bayes classifierStatistical feature extractionDiscrete wavelet transformIoT edgeDetection frameworkShelf microcontrollersFeature extractionHealthcare activitiesBayes classifierClassification accuracyWavelet transformSeizure detectionHealth monitoringExperimental resultsUnified system
1994
Fast wavelet transformation of EEG
Schiff S, Aldroubi A, Unser M, Sato S. Fast wavelet transformation of EEG. Clinical Neurophysiology 1994, 91: 442-455. PMID: 7529683, DOI: 10.1016/0013-4694(94)90165-1.Peer-Reviewed Original ResearchConceptsFeature extractionWavelet transformOrdinary microprocessorsComputational demandsRedundant samplingComputational timeMultiresolution frameworkData window lengthReal timeWavelet transformationContinuous wavelet transformRapid algorithmWaveletsAnalysis of EEGExtractionWindow lengthBackground noiseTransformAlgorithmPolynomial splinesMicroprocessorFourier transform techniqueRecent workCertain advantagesNumerical techniques
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