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

File: <base>/training/georgia/g9/E08614.hea (744 bytes) 
E08614 12 500 5000
E08614.mat 16x1+24 1000.0(0)/mV 16 0 9 5460 0 I
E08614.mat 16x1+24 1000.0(0)/mV 16 0 -19 -8191 0 II
E08614.mat 16x1+24 1000.0(0)/mV 16 0 -29 -13077 0 III
E08614.mat 16x1+24 1000.0(0)/mV 16 0 4 1318 0 aVR
E08614.mat 16x1+24 1000.0(0)/mV 16 0 19 9359 0 aVL
E08614.mat 16x1+24 1000.0(0)/mV 16 0 -24 -10673 0 aVF
E08614.mat 16x1+24 1000.0(0)/mV 16 0 0 8731 0 V1
E08614.mat 16x1+24 1000.0(0)/mV 16 0 9 -18939 0 V2
E08614.mat 16x1+24 1000.0(0)/mV 16 0 -29 -19811 0 V3
E08614.mat 16x1+24 1000.0(0)/mV 16 0 -68 -1435 0 V4
E08614.mat 16x1+24 1000.0(0)/mV 16 0 -48 8825 0 V5
E08614.mat 16x1+24 1000.0(0)/mV 16 0 -29 -25692 0 V6
# Age: 79
# Sex: Female
# Dx: 270492004,426177001,425623009,59931005,164917005
# Rx: Unknown
# Hx: Unknown