Time-frequency-analysis-based method for automatically separating peak activities in high-frequency oscillation rhythms
The present invention discloses a time-frequency-analysis-based method for automatically separating peak activities in high-frequency oscillation rhythms. Firstly, acquiring brain electrical signals of an epileptic patient and also extracting original signals corresponding to the suspected high-freq...
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| Format: | Patent |
| Sprache: | chi ; eng |
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| Zusammenfassung: | The present invention discloses a time-frequency-analysis-based method for automatically separating peak activities in high-frequency oscillation rhythms. Firstly, acquiring brain electrical signals of an epileptic patient and also extracting original signals corresponding to the suspected high-frequency oscillation rhythms; then conducting peak signal detection on the original signals corresponding to the suspected high-frequency oscillation rhythms, removing the detected peak signals and obtaining the high-frequency oscillation rhythms with high precision. The detection of the peak signals uses the time-frequency-analysis-based method, a box-plot is used to obtain upper quartile and lower quartile of signal power, peak activity mixed in the high-frequency oscillation rhythms is detected,and the detection precision of the high-frequency oscillation rhythms of the epileptic brain electrical signals is improved. The present invention discloses a high-frequency oscillation rhythm detection device and a storage |
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