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

File: <base>/training/georgia/g5/E04147.hea (726 bytes) 
E04147 12 500 5000
E04147.mat 16x1+24 1000.0(0)/mV 16 0 19 -9417 0 I
E04147.mat 16x1+24 1000.0(0)/mV 16 0 48 -10113 0 II
E04147.mat 16x1+24 1000.0(0)/mV 16 0 29 -959 0 III
E04147.mat 16x1+24 1000.0(0)/mV 16 0 -34 9853 0 aVR
E04147.mat 16x1+24 1000.0(0)/mV 16 0 -4 -4039 0 aVL
E04147.mat 16x1+24 1000.0(0)/mV 16 0 39 -5412 0 aVF
E04147.mat 16x1+24 1000.0(0)/mV 16 0 -117 -7663 0 V1
E04147.mat 16x1+24 1000.0(0)/mV 16 0 -146 11354 0 V2
E04147.mat 16x1+24 1000.0(0)/mV 16 0 48 -30615 0 V3
E04147.mat 16x1+24 1000.0(0)/mV 16 0 29 31410 0 V4
E04147.mat 16x1+24 1000.0(0)/mV 16 0 19 19681 0 V5
E04147.mat 16x1+24 1000.0(0)/mV 16 0 0 -25236 0 V6
# Age: 71
# Sex: Female
# Dx: 59118001,428750005,270492004
# Rx: Unknown
# Hx: Unknown