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

File: <base>/training/georgia/g10/E09947.hea (714 bytes) 
E09947 12 500 5000
E09947.mat 16x1+24 1000.0(0)/mV 16 0 -24 -26338 0 I
E09947.mat 16x1+24 1000.0(0)/mV 16 0 82 26065 0 II
E09947.mat 16x1+24 1000.0(0)/mV 16 0 107 -12191 0 III
E09947.mat 16x1+24 1000.0(0)/mV 16 0 -29 703 0 aVR
E09947.mat 16x1+24 1000.0(0)/mV 16 0 -65 25419 0 aVL
E09947.mat 16x1+24 1000.0(0)/mV 16 0 95 -25949 0 aVF
E09947.mat 16x1+24 1000.0(0)/mV 16 0 -48 15089 0 V1
E09947.mat 16x1+24 1000.0(0)/mV 16 0 -190 337 0 V2
E09947.mat 16x1+24 1000.0(0)/mV 16 0 -190 5893 0 V3
E09947.mat 16x1+24 1000.0(0)/mV 16 0 -263 29100 0 V4
E09947.mat 16x1+24 1000.0(0)/mV 16 0 -209 -27543 0 V5
E09947.mat 16x1+24 1000.0(0)/mV 16 0 -78 -31214 0 V6
# Age: 30
# Sex: Male
# Dx: 426783006
# Rx: Unknown
# Hx: Unknown