Table 2.

Summary of the 21 preliminary wavelet features selected from the intersection of correlation scalograms for the disease identification.

Wavelet Features	Correlation Coefficient among Different Wavelet Features
	WF01	WF02	WF03	WF04	WF05	WF06	WF07	WF08	WF09	WF10	WF11	WF12	WF13	WF14	WF15	WF16	WF17	WF18	WF19	WF20	WF21
WF01	1.000
WF02	0.648	1.000
WF03	0.507	0.737	1.000
WF04	0.589	0.811	0.797	1.000
WF05	0.534	0.853	0.824	0.841	1.000
WF06	0.715	0.736	0.734	0.866	0.824	1.000
WF07	0.606	0.739	0.711	0.849	0.844	0.940	1.000
WF08	0.530	0.694	0.844	0.714	0.779	0.704	0.706	1.000
WF09	0.435	0.635	0.773	0.643	0.703	0.578	0.553	0.913	1.000
WF10	0.389	0.763	0.766	0.729	0.812	0.650	0.659	0.807	0.702	1.000
WF11	0.491	0.799	0.844	0.796	0.851	0.727	0.731	0.871	0.747	0.970	1.000
WF12	0.432	0.768	0.744	0.711	0.813	0.636	0.644	0.777	0.657	0.931	0.919	1.000
WF13	0.467	0.669	0.700	0.679	0.680	0.674	0.699	0.680	0.547	0.714	0.786	0.700	1.000
WF14	0.364	0.734	0.738	0.695	0.755	0.562	0.589	0.753	0.616	0.943	0.938	0.913	0.723	1.000
WF15	0.373	0.759	0.748	0.714	0.784	0.581	0.604	0.766	0.650	0.960	0.947	0.910	0.709	0.987	1.000
WF16	0.386	0.760	0.754	0.720	0.783	0.594	0.624	0.762	0.625	0.943	0.946	0.909	0.738	0.997	0.990	1.000
WF17	0.589	0.774	0.731	0.688	0.777	0.741	0.681	0.751	0.640	0.862	0.880	0.852	0.756	0.847	0.835	0.855	1.000
WF18	0.654	0.900	0.695	0.766	0.820	0.814	0.806	0.658	0.579	0.680	0.727	0.700	0.689	0.639	0.667	0.677	0.788	1.000
WF19	0.536	0.827	0.689	0.700	0.710	0.554	0.548	0.665	0.636	0.710	0.750	0.695	0.646	0.733	0.757	0.751	0.693	0.757	1.000
WF20	0.796	0.704	0.572	0.511	0.600	0.612	0.519	0.645	0.615	0.549	0.607	0.587	0.491	0.514	0.547	0.531	0.676	0.722	0.656	1.000
WF21	0.831	0.750	0.698	0.640	0.675	0.712	0.627	0.724	0.663	0.600	0.685	0.644	0.599	0.579	0.594	0.597	0.725	0.762	0.686	0.938	1.000