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

File: <base>/training/georgia/g10/E09622.hea (731 bytes) 
E09622 12 500 5000
E09622.mat 16x1+24 1000.0(0)/mV 16 0 -117 -14484 0 I
E09622.mat 16x1+24 1000.0(0)/mV 16 0 29 -7777 0 II
E09622.mat 16x1+24 1000.0(0)/mV 16 0 146 7212 0 III
E09622.mat 16x1+24 1000.0(0)/mV 16 0 43 10953 0 aVR
E09622.mat 16x1+24 1000.0(0)/mV 16 0 -131 -10755 0 aVL
E09622.mat 16x1+24 1000.0(0)/mV 16 0 87 -328 0 aVF
E09622.mat 16x1+24 1000.0(0)/mV 16 0 9 30773 0 V1
E09622.mat 16x1+24 1000.0(0)/mV 16 0 -126 -26882 0 V2
E09622.mat 16x1+24 1000.0(0)/mV 16 0 -68 32417 0 V3
E09622.mat 16x1+24 1000.0(0)/mV 16 0 -19 -13029 0 V4
E09622.mat 16x1+24 1000.0(0)/mV 16 0 -48 -29974 0 V5
E09622.mat 16x1+24 1000.0(0)/mV 16 0 39 -12713 0 V6
# Age: 86
# Sex: Male
# Dx: 59118001,39732003,270492004
# Rx: Unknown
# Hx: Unknown