ECG Denoising on Clean canine ECG signals

0.01MeanAutoencoder

Evaluation results

Method
Autoencoder2026.05	0.01	0.02	0.001	0.006	0.008	0.012	0.423
engzeemod20122026.05	0.02	0.04	0.001	0.002	0.005	0.017	0.605
biosppy2026.05	0.25	0.16	0.003	0.133	0.224	0.333	0.809
vg2026.05	0.28	0.2	0.004	0.135	0.233	0.351	1.423
Butterworth Filter2026.05	0.29	0.18	0.005	0.161	0.252	0.368	1.52
Multi-Frequency Butterworth2026.05	0.29	0.19	0.015	0.155	0.248	0.37	1.324
neurokit2026.05	0.29	0.2	0.006	0.158	0.246	0.367	1.496
pantompkins19852026.05	0.33	0.13	0.043	0.23	0.293	0.394	0.842
hamilton20022026.05	0.35	0.13	0.044	0.252	0.314	0.418	0.862
elgendi20102026.05	0.44	0.16	0.046	0.325	0.402	0.528	1.051
engzeemod20122026.05	0.75	1.2	0	0.3	0.5	0.8	13.4
Autoencoder2026.05	1.97	2.22	0.1	0.6	1.3	2.4	16
vg2026.05	2.24	2.64	0	0.7	1.2	2.5	16
biosppy2026.05	2.29	2.73	0.1	0.7	1.3	2.6	21.4
Multi-Frequency Butterworth2026.05	2.34	2.7	0.1	0.7	1.3	2.7	17.7
Butterworth Filter2026.05	2.35	2.75	0.1	0.7	1.3	2.7	17.4
neurokit2026.05	2.77	2.72	0.2	1.2	1.8	3.2	23.7
pantompkins19852026.05	3.16	2.69	0.2	1.6	2.3	3.5	20.5
hamilton20022026.05	3.26	2.69	0.2	1.7	2.4	3.7	20.1
elgendi20102026.05	3.63	2.89	0.3	2	2.7	4.1	21.8
engzeemod20122026.05	1,133.45	11,067.91	0.6	26.6	67.7	180.4	343,080.1
Autoencoder2026.05	3,114.94	25,671.74	6.2	33	93	335.4	679,435.1
biosppy2026.05	24,197.64	87,116.53	2.2	439.9	1,855.6	9,821.3	1,634,449.4
neurokit2026.05	24,421.97	87,590.32	9.2	589	2,118.4	10,242.7	1,459,737
vg2026.05	24,808.76	88,917.35	3.3	530.5	2,069.3	10,023.1	1,749,421.9
pantompkins19852026.05	25,174.61	87,329.14	18.8	918.2	2,579.5	10,490.5	1,543,653.1
Butterworth Filter2026.05	25,723.42	91,285.33	4.9	623.3	2,238.4	10,529.8	1,657,573.8
hamilton20022026.05	25,829.91	89,215.3	19.4	1,001.9	2,770.5	10,966.3	1,579,078.6
Multi-Frequency Butterworth2026.05	25,995.49	93,009.65	4.3	602.3	2,229.1	10,637.6	1,722,930.9
elgendi20102026.05	27,984.69	95,833.63	23.2	1,286.3	3,392.7	12,362.1	1,716,402.2