ECG Denoising on Canine ECG signals LinearWander noise corruption

2.62MeanAutoencoder

Evaluation Results

Method
Autoencoder2026.05	2.62	2.26	0.3	1.1	1.9	3.6	17
vg2026.05	2.82	2.82	0.2	0.9	1.7	4	18.7
Butterworth Filter2026.05	2.91	2.89	0.2	0.9	1.8	4	19.4
biosppy2026.05	2.97	2.99	0.3	0.9	1.7	4.4	21.4
Multi-Frequency Butterworth2026.05	2.99	2.92	0.2	0.9	1.8	4.3	19.5
engzeemod20122026.05	2.99	3.23	0.3	1	1.4	3.4	19.5
neurokit2026.05	3.28	2.87	0.3	1.4	2.2	4.5	24.3
hamilton20022026.05	3.48	2.69	0.2	1.8	2.7	4.1	20.1
pantompkins19852026.05	3.56	2.77	0.3	1.7	2.6	4.7	20.7
elgendi20102026.05	3.75	2.89	0.3	2.1	2.9	4.3	21.8
Autoencoder2026.05	9,917.3	32,886.79	100.4	731.1	2,150.4	7,222.7	787,130.1
biosppy2026.05	24,837.91	87,291.12	10.2	576.8	2,819.9	10,597	1,622,792.4
vg2026.05	24,937.71	88,954.85	5.1	671.5	2,188.5	10,089.7	1,750,013.4
neurokit2026.05	25,469.66	87,205.08	22.7	759.4	3,612	12,740.4	1,478,642.4
pantompkins19852026.05	25,503.45	87,418.26	19.8	1,060.9	2,810.4	10,893	1,514,134.5
Butterworth Filter2026.05	25,836.81	91,318.57	6.5	731.8	2,345.5	10,618.9	1,658,112.6
hamilton20022026.05	26,046.89	89,294.19	19.8	1,078.2	2,886.3	11,162.2	1,554,455
Multi-Frequency Butterworth2026.05	26,096.33	93,038.41	5.7	695	2,289.3	10,800.2	1,723,393.2
elgendi20102026.05	28,057.22	95,852.6	23.7	1,338.6	3,453.6	12,416.7	1,714,080.1
engzeemod20122026.05	35,150.48	68,120.76	91	553.1	1,771.5	18,598.6	513,433.2