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

File: <base>/training/georgia/g9/E08674.hea (723 bytes) 
E08674 12 500 5000
E08674.mat 16x1+24 1000.0(0)/mV 16 0 204 -11643 0 I
E08674.mat 16x1+24 1000.0(0)/mV 16 0 -29 18061 0 II
E08674.mat 16x1+24 1000.0(0)/mV 16 0 -234 28562 0 III
E08674.mat 16x1+24 1000.0(0)/mV 16 0 -87 29440 0 aVR
E08674.mat 16x1+24 1000.0(0)/mV 16 0 219 -20361 0 aVL
E08674.mat 16x1+24 1000.0(0)/mV 16 0 -131 -9961 0 aVF
E08674.mat 16x1+24 1000.0(0)/mV 16 0 -175 27607 0 V1
E08674.mat 16x1+24 1000.0(0)/mV 16 0 -78 29037 0 V2
E08674.mat 16x1+24 1000.0(0)/mV 16 0 -146 -29654 0 V3
E08674.mat 16x1+24 1000.0(0)/mV 16 0 -156 22710 0 V4
E08674.mat 16x1+24 1000.0(0)/mV 16 0 -117 3679 0 V5
E08674.mat 16x1+24 1000.0(0)/mV 16 0 -68 -30907 0 V6
# Age: 55
# Sex: Female
# Dx: 426783006
# Rx: Unknown
# Hx: Unknown