Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(715 bytes)
S0037 12 1000 115200
S0037.mat 16x1+24 1000.0(0)/mv 16 0 923 -29545 0 I
S0037.mat 16x1+24 1000.0(0)/mv 16 0 -431 23480 0 II
S0037.mat 16x1+24 1000.0(0)/mv 16 0 -1355 -15293 0 III
S0037.mat 16x1+24 1000.0(0)/mv 16 0 -246 11208 0 aVR
S0037.mat 16x1+24 1000.0(0)/mv 16 0 1139 23721 0 aVL
S0037.mat 16x1+24 1000.0(0)/mv 16 0 -893 3711 0 aVF
S0037.mat 16x1+24 1000.0(0)/mv 16 0 -607 26132 0 V1
S0037.mat 16x1+24 1000.0(0)/mv 16 0 -1008 31662 0 V2
S0037.mat 16x1+24 1000.0(0)/mv 16 0 -863 22277 0 V3
S0037.mat 16x1+24 1000.0(0)/mv 16 0 -203 23418 0 V4
S0037.mat 16x1+24 1000.0(0)/mv 16 0 245 -20618 0 V5
S0037.mat 16x1+24 1000.0(0)/mv 16 0 813 16126 0 V6
# Age: 75
# Sex: Male
# Dx: 164865005
# Rx: Unknown
# Hx: Unknown