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

File: <base>/training/georgia/g10/E09990.hea (731 bytes) 
E09990 12 500 5000
E09990.mat 16x1+24 1000.0(0)/mV 16 0 -136 -26639 0 I
E09990.mat 16x1+24 1000.0(0)/mV 16 0 -58 -8097 0 II
E09990.mat 16x1+24 1000.0(0)/mV 16 0 78 18189 0 III
E09990.mat 16x1+24 1000.0(0)/mV 16 0 97 17048 0 aVR
E09990.mat 16x1+24 1000.0(0)/mV 16 0 -107 -22688 0 aVL
E09990.mat 16x1+24 1000.0(0)/mV 16 0 9 5159 0 aVF
E09990.mat 16x1+24 1000.0(0)/mV 16 0 156 25214 0 V1
E09990.mat 16x1+24 1000.0(0)/mV 16 0 0 24209 0 V2
E09990.mat 16x1+24 1000.0(0)/mV 16 0 19 -26738 0 V3
E09990.mat 16x1+24 1000.0(0)/mV 16 0 -87 17763 0 V4
E09990.mat 16x1+24 1000.0(0)/mV 16 0 -97 -21048 0 V5
E09990.mat 16x1+24 1000.0(0)/mV 16 0 -107 -5658 0 V6
# Age: 70
# Sex: Male
# Dx: 426177001,425623009,164934002
# Rx: Unknown
# Hx: Unknown