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

File: <base>/training/georgia/g2/E01752.hea (716 bytes) 
E01752 12 500 5000
E01752.mat 16x1+24 1000.0(0)/mV 16 0 -9 28121 0 I
E01752.mat 16x1+24 1000.0(0)/mV 16 0 -9 -1530 0 II
E01752.mat 16x1+24 1000.0(0)/mV 16 0 0 -29771 0 III
E01752.mat 16x1+24 1000.0(0)/mV 16 0 9 19378 0 aVR
E01752.mat 16x1+24 1000.0(0)/mV 16 0 -4 29106 0 aVL
E01752.mat 16x1+24 1000.0(0)/mV 16 0 -4 17177 0 aVF
E01752.mat 16x1+24 1000.0(0)/mV 16 0 175 -15239 0 V1
E01752.mat 16x1+24 1000.0(0)/mV 16 0 380 -28125 0 V2
E01752.mat 16x1+24 1000.0(0)/mV 16 0 195 32201 0 V3
E01752.mat 16x1+24 1000.0(0)/mV 16 0 136 4506 0 V4
E01752.mat 16x1+24 1000.0(0)/mV 16 0 78 -10412 0 V5
E01752.mat 16x1+24 1000.0(0)/mV 16 0 -19 -12552 0 V6
# Age: 77
# Sex: Male
# Dx: 39732003,427084000
# Rx: Unknown
# Hx: Unknown