Browsing by Subject "Feature selection methods"
Now showing items 1-3 of 3
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Automatic signal abnormality detection using time-frequency features and machine learning: A newborn EEG seizure case study
( Elsevier B.V. , 2016 , Article)Time-frequency (TF) based machine learning methodologies can improve the design of classification systems for non-stationary signals. Using selected TF distributions (TFDs), TF feature extraction is performed on multi-channel ... -
Improved gait recognition based on gait energy images
( Institute of Electrical and Electronics Engineers Inc. , 2014 , Conference Paper)The performance of gait recognition systems are usually affected by clothing, carrying conditions, and other intraclass variations which are also referred to as covariates. This paper proposes a supervised feature selection ... -
Non-invasivemonitoring of fetal movements using time-frequency features of accelerometry
( Institute of Electrical and Electronics Engineers Inc. , 2014 , Conference Paper)This paper presents a time-frequency approach for fetal movement monitoring which is based on the instantaneous amplitude (IA) and instantaneous frequency (IF) of signals collected using 3axial accelerometers placed over ...