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

File: <base>/training/georgia/g2/E01804.hea (701 bytes) 
E01804 12 500 5000
E01804.mat 16x1+24 1000.0(0)/mV 16 0 -58 13212 0 I
E01804.mat 16x1+24 1000.0(0)/mV 16 0 0 -28674 0 II
E01804.mat 16x1+24 1000.0(0)/mV 16 0 58 22729 0 III
E01804.mat 16x1+24 1000.0(0)/mV 16 0 29 7572 0 aVR
E01804.mat 16x1+24 1000.0(0)/mV 16 0 -58 -4875 0 aVL
E01804.mat 16x1+24 1000.0(0)/mV 16 0 29 -3264 0 aVF
E01804.mat 16x1+24 1000.0(0)/mV 16 0 19 20548 0 V1
E01804.mat 16x1+24 1000.0(0)/mV 16 0 0 9016 0 V2
E01804.mat 16x1+24 1000.0(0)/mV 16 0 -29 475 0 V3
E01804.mat 16x1+24 1000.0(0)/mV 16 0 -19 4766 0 V4
E01804.mat 16x1+24 1000.0(0)/mV 16 0 -39 18545 0 V5
E01804.mat 16x1+24 1000.0(0)/mV 16 0 -39 14740 0 V6
# Age: 63
# Sex: Female
# Dx: 39732003
# Rx: Unknown
# Hx: Unknown