Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(697 bytes)
E07972 12 500 5000
E07972.mat 16x1+24 1000.0(0)/mV 16 0 -68 4152 0 I
E07972.mat 16x1+24 1000.0(0)/mV 16 0 0 22178 0 II
E07972.mat 16x1+24 1000.0(0)/mV 16 0 68 18378 0 III
E07972.mat 16x1+24 1000.0(0)/mV 16 0 34 -13096 0 aVR
E07972.mat 16x1+24 1000.0(0)/mV 16 0 -68 -7160 0 aVL
E07972.mat 16x1+24 1000.0(0)/mV 16 0 34 20288 0 aVF
E07972.mat 16x1+24 1000.0(0)/mV 16 0 -9 -16436 0 V1
E07972.mat 16x1+24 1000.0(0)/mV 16 0 9 2300 0 V2
E07972.mat 16x1+24 1000.0(0)/mV 16 0 0 12446 0 V3
E07972.mat 16x1+24 1000.0(0)/mV 16 0 9 -7056 0 V4
E07972.mat 16x1+24 1000.0(0)/mV 16 0 0 -7662 0 V5
E07972.mat 16x1+24 1000.0(0)/mV 16 0 -58 20920 0 V6
# Age: 70
# Sex: Male
# Dx: 39732003
# Rx: Unknown
# Hx: Unknown