Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2

File: <base>/training/georgia/g4/E03372.hea (710 bytes) 
E03372 12 500 5000
E03372.mat 16x1+24 1000.0(0)/mV 16 0 48 -3244 0 I
E03372.mat 16x1+24 1000.0(0)/mV 16 0 126 22528 0 II
E03372.mat 16x1+24 1000.0(0)/mV 16 0 78 24602 0 III
E03372.mat 16x1+24 1000.0(0)/mV 16 0 -87 -9627 0 aVR
E03372.mat 16x1+24 1000.0(0)/mV 16 0 -14 -14158 0 aVL
E03372.mat 16x1+24 1000.0(0)/mV 16 0 102 23888 0 aVF
E03372.mat 16x1+24 1000.0(0)/mV 16 0 204 4373 0 V1
E03372.mat 16x1+24 1000.0(0)/mV 16 0 380 -28569 0 V2
E03372.mat 16x1+24 1000.0(0)/mV 16 0 400 -5431 0 V3
E03372.mat 16x1+24 1000.0(0)/mV 16 0 244 14691 0 V4
E03372.mat 16x1+24 1000.0(0)/mV 16 0 195 1615 0 V5
E03372.mat 16x1+24 1000.0(0)/mV 16 0 126 -29800 0 V6
# Age: 78
# Sex: Male
# Dx: 39732003
# Rx: Unknown
# Hx: Unknown