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Analysis of High-Dimensional Phase Space via Poincaré Section for Patient-Specific Seizure Detection
(
Institute of Electrical and Electronics Engineers Inc.
, 2016 , Article)
In this paper, the performance of the phase space representation in interpreting the underlying dynamics of epileptic seizures is investigated and a novel patient-specific seizure detection approach is proposed based on ...
Real-Time Motor Fault Detection by 1-D Convolutional Neural Networks
(
Institute of Electrical and Electronics Engineers Inc.
, 2016 , Article)
Early detection of the motor faults is essential and artificial neural networks are widely used for this purpose. The typical systems usually encapsulate two distinct blocks: feature extraction and classification. Such ...
Real-Time Patient-Specific ECG Classification by 1-D Convolutional Neural Networks
(
IEEE Computer Society
, 2016 , Article)
Goal: This paper presents a fast and accurate patient-specific electrocardiogram (ECG) classification and monitoring system. Methods: An adaptive implementation of 1-D convolutional neural networks (CNNs) is inherently ...