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Classification of fetal movement accelerometry through time-frequency features
(
IEEE
, 2014 , Conference Paper)
This paper presents a time-frequency approach for fetal movement monitoring which is based on classification of accelerometry signals collected from pregnant women's abdomen. Features extracted from time-frequency distribution ...
Haralick feature extraction from time-frequency images for epileptic seizure detection and classification of EEG data
(
IEEE
, 2014 , Conference Paper)
This paper presents novel time-frequency (t-f) features based on t-f image descriptors for the automatic detection and classification of epileptic seizure activities in EEG data. Most previous methods were based only on ...
Effectiveness of combined time-frequency imageand signal-based features for improving the detection and classification of epileptic seizure activities in EEG signals
(
IEEE
, 2014 , Conference Paper)
This paper presents new time-frequency (T-F) features to improve the detection and classification of epileptic seizure activities in EEG signals. Most previous methods were based only on signal features derived from the ...