Applying Machine Learning for Automated Classification of Biomedical Data in Subject-Independent Settings
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Applying Machine Learning for Automated Classification of Biomedical Data in Subject-Independent Settings
Pham, Thuy T.
Springer International Publishing AG
08/2018
107
Dura
Inglês
9783319986746
15 a 20 dias
454
Descrição não disponível.
Introduction .- Background .- Algorithms .- Point Anomaly Detection: Application to Freezing of Gait Monitoring .- Collective Anomaly Detection: Application to Respiratory Artefact Removals.- Spike Sorting: Application to Motor Unit Action Potential Discrimination .- Conclusion .
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
Novelty Detection;Anomaly Score Based Detector;Automated Feature Selection;Feature Selection Based on Voting;Unsupervised Anomaly Detection;Unsupervised Artifact Detection;Learning for Detecting Freezing of Gait Events;Anomaly Detection for Biomedical Data;Unsupervised Multi-class Sorting;Voting Process for Feature Selection;Improving Classification Performance;Unsupervised Classification of Biomedical Data;Subject-independent Classifiers;Respiratory Artifact Detection;Forced Oscillation Measurements;Unsupervised Spike Sorting;Fog Detection Systems
Introduction .- Background .- Algorithms .- Point Anomaly Detection: Application to Freezing of Gait Monitoring .- Collective Anomaly Detection: Application to Respiratory Artefact Removals.- Spike Sorting: Application to Motor Unit Action Potential Discrimination .- Conclusion .
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
Novelty Detection;Anomaly Score Based Detector;Automated Feature Selection;Feature Selection Based on Voting;Unsupervised Anomaly Detection;Unsupervised Artifact Detection;Learning for Detecting Freezing of Gait Events;Anomaly Detection for Biomedical Data;Unsupervised Multi-class Sorting;Voting Process for Feature Selection;Improving Classification Performance;Unsupervised Classification of Biomedical Data;Subject-independent Classifiers;Respiratory Artifact Detection;Forced Oscillation Measurements;Unsupervised Spike Sorting;Fog Detection Systems
