Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
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E00028 12 500 5000
E00028.mat 16x1+24 1000.0(0)/mV 16 0 634 3368 0 I
E00028.mat 16x1+24 1000.0(0)/mV 16 0 -224 -31137 0 II
E00028.mat 16x1+24 1000.0(0)/mV 16 0 -858 30398 0 III
E00028.mat 16x1+24 1000.0(0)/mV 16 0 -204 -19122 0 aVR
E00028.mat 16x1+24 1000.0(0)/mV 16 0 746 19734 0 aVL
E00028.mat 16x1+24 1000.0(0)/mV 16 0 -541 -44 0 aVF
E00028.mat 16x1+24 1000.0(0)/mV 16 0 -673 -24515 0 V1
E00028.mat 16x1+24 1000.0(0)/mV 16 0 -468 22719 0 V2
E00028.mat 16x1+24 1000.0(0)/mV 16 0 634 -20979 0 V3
E00028.mat 16x1+24 1000.0(0)/mV 16 0 -19 -26260 0 V4
E00028.mat 16x1+24 1000.0(0)/mV 16 0 58 -10140 0 V5
E00028.mat 16x1+24 1000.0(0)/mV 16 0 214 9394 0 V6
# Age: 74
# Sex: Male
# Dx: 428750005,39732003,164889003,426177001,59931005,111975006
# Rx: Unknown
# Hx: Unknown