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

File: <base>/training/georgia/g10/E09367.hea (745 bytes) 
E09367 12 500 5000
E09367.mat 16x1+24 1000.0(0)/mV 16 0 19 -23528 0 I
E09367.mat 16x1+24 1000.0(0)/mV 16 0 -9 -23094 0 II
E09367.mat 16x1+24 1000.0(0)/mV 16 0 -29 400 0 III
E09367.mat 16x1+24 1000.0(0)/mV 16 0 -4 -9462 0 aVR
E09367.mat 16x1+24 1000.0(0)/mV 16 0 24 20562 0 aVL
E09367.mat 16x1+24 1000.0(0)/mV 16 0 -19 -11470 0 aVF
E09367.mat 16x1+24 1000.0(0)/mV 16 0 -19 23662 0 V1
E09367.mat 16x1+24 1000.0(0)/mV 16 0 39 -24524 0 V2
E09367.mat 16x1+24 1000.0(0)/mV 16 0 19 19953 0 V3
E09367.mat 16x1+24 1000.0(0)/mV 16 0 58 31795 0 V4
E09367.mat 16x1+24 1000.0(0)/mV 16 0 9 -30655 0 V5
E09367.mat 16x1+24 1000.0(0)/mV 16 0 29 -25116 0 V6
# Age: 50
# Sex: Male
# Dx: 713426002,89792004,428750005,111975006,164930006
# Rx: Unknown
# Hx: Unknown