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

File: <base>/training/georgia/g7/E06947.hea (715 bytes) 
E06947 12 500 5000
E06947.mat 16x1+24 1000.0(0)/mV 16 0 39 -24869 0 I
E06947.mat 16x1+24 1000.0(0)/mV 16 0 29 -22598 0 II
E06947.mat 16x1+24 1000.0(0)/mV 16 0 -9 2142 0 III
E06947.mat 16x1+24 1000.0(0)/mV 16 0 -34 -9081 0 aVR
E06947.mat 16x1+24 1000.0(0)/mV 16 0 24 19342 0 aVL
E06947.mat 16x1+24 1000.0(0)/mV 16 0 9 -10583 0 aVF
E06947.mat 16x1+24 1000.0(0)/mV 16 0 -48 -9725 0 V1
E06947.mat 16x1+24 1000.0(0)/mV 16 0 -48 -23548 0 V2
E06947.mat 16x1+24 1000.0(0)/mV 16 0 -19 9340 0 V3
E06947.mat 16x1+24 1000.0(0)/mV 16 0 29 -15378 0 V4
E06947.mat 16x1+24 1000.0(0)/mV 16 0 48 -353 0 V5
E06947.mat 16x1+24 1000.0(0)/mV 16 0 78 -4313 0 V6
# Age: 55
# Sex: Male
# Dx: 164934002,111975006
# Rx: Unknown
# Hx: Unknown