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

File: <base>/training/georgia/g10/E09341.hea (724 bytes) 
E09341 12 500 5000
E09341.mat 16x1+24 1000.0(0)/mV 16 0 -53 10365 0 I
E09341.mat 16x1+24 1000.0(0)/mV 16 0 14 7535 0 II
E09341.mat 16x1+24 1000.0(0)/mV 16 0 68 -2835 0 III
E09341.mat 16x1+24 1000.0(0)/mV 16 0 19 -9182 0 aVR
E09341.mat 16x1+24 1000.0(0)/mV 16 0 -61 6445 0 aVL
E09341.mat 16x1+24 1000.0(0)/mV 16 0 41 2428 0 aVF
E09341.mat 16x1+24 1000.0(0)/mV 16 0 73 -24266 0 V1
E09341.mat 16x1+24 1000.0(0)/mV 16 0 14 -7875 0 V2
E09341.mat 16x1+24 1000.0(0)/mV 16 0 58 -2518 0 V3
E09341.mat 16x1+24 1000.0(0)/mV 16 0 39 11621 0 V4
E09341.mat 16x1+24 1000.0(0)/mV 16 0 14 -10875 0 V5
E09341.mat 16x1+24 1000.0(0)/mV 16 0 -14 -8972 0 V6
# Age: 32
# Sex: Female
# Dx: 428750005,427084000,164890007
# Rx: Unknown
# Hx: Unknown