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

File: <base>/training/georgia/g6/E05943.hea (738 bytes) 
E05943 12 500 5000
E05943.mat 16x1+24 1000.0(0)/mV 16 0 195 24193 0 I
E05943.mat 16x1+24 1000.0(0)/mV 16 0 -19 32291 0 II
E05943.mat 16x1+24 1000.0(0)/mV 16 0 -214 7319 0 III
E05943.mat 16x1+24 1000.0(0)/mV 16 0 -87 -28081 0 aVR
E05943.mat 16x1+24 1000.0(0)/mV 16 0 204 8461 0 aVL
E05943.mat 16x1+24 1000.0(0)/mV 16 0 -117 20295 0 aVF
E05943.mat 16x1+24 1000.0(0)/mV 16 0 87 15724 0 V1
E05943.mat 16x1+24 1000.0(0)/mV 16 0 87 -5186 0 V2
E05943.mat 16x1+24 1000.0(0)/mV 16 0 214 22717 0 V3
E05943.mat 16x1+24 1000.0(0)/mV 16 0 204 -9312 0 V4
E05943.mat 16x1+24 1000.0(0)/mV 16 0 -87 -27899 0 V5
E05943.mat 16x1+24 1000.0(0)/mV 16 0 -29 1059 0 V6
# Age: 60
# Sex: Female
# Dx: 67741000119109,164931005,164865005
# Rx: Unknown
# Hx: Unknown