Our experiments show that dynamic features extracted from the time-frequency domain bring considerable classi- fication accuracy improvement for motor imagery ...

This paper proposes an improved dynamic feature extraction approach based on a time-frequency representation and an optimal sequence similarity measurement.

This paper proposes an improved dynamic feature extraction approach based on a time-frequency representation and an optimal sequence similarity measurement.

This paper proposes an improved dynamic feature extraction approach based on a time-frequency representation and an optimal sequence similarity measurement.

By carefully investigating EEG patterns, the spatio-temporal neuronal electrical activities can be decoded and abnormal patterns can be captured for diagnostic ...

Jul 4, 2024 · Many researchers have used time-domain, particularly frequency-domain, analysis to extract the intrinsic information for activity recognition.

Mar 21, 2024 · This paper proposes a method for extracting brain functional network features based on directed transfer function (DTF) and graph theory.

The proposed model adaptively extracts the time, frequency, and time-frequency features with a multi-branch structure.

Jul 26, 2017 · Four time-frequency based feature extraction methods to examine the dominant frequency band and timing in EEG signals are proposed and compared with each other ...

This paper proposes an improved dynamic feature extraction approach based on a time-frequency representation and an optimal sequence similarity measurement.