Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(721 bytes)
S0052 12 1000 115200
S0052.mat 16x1+24 1000.0(0)/mv 16 0 -986 7352 0 I
S0052.mat 16x1+24 1000.0(0)/mv 16 0 -1665 -19031 0 II
S0052.mat 16x1+24 1000.0(0)/mv 16 0 -679 -18557 0 III
S0052.mat 16x1+24 1000.0(0)/mv 16 0 1325 6023 0 aVR
S0052.mat 16x1+24 1000.0(0)/mv 16 0 -153 -10666 0 aVL
S0052.mat 16x1+24 1000.0(0)/mv 16 0 -1172 12220 0 aVF
S0052.mat 16x1+24 1000.0(0)/mv 16 0 -161 -13723 0 V1
S0052.mat 16x1+24 1000.0(0)/mv 16 0 -1141 12563 0 V2
S0052.mat 16x1+24 1000.0(0)/mv 16 0 -1591 8394 0 V3
S0052.mat 16x1+24 1000.0(0)/mv 16 0 -988 30106 0 V4
S0052.mat 16x1+24 1000.0(0)/mv 16 0 -758 -12250 0 V5
S0052.mat 16x1+24 1000.0(0)/mv 16 0 -617 -14242 0 V6
# Age: 57
# Sex: Male
# Dx: 164865005
# Rx: Unknown
# Hx: Unknown