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

File: <base>/training/georgia/g10/E09822.hea (728 bytes) 
E09822 12 500 5000
E09822.mat 16x1+24 1000.0(0)/mV 16 0 136 31034 0 I
E09822.mat 16x1+24 1000.0(0)/mV 16 0 -361 -3117 0 II
E09822.mat 16x1+24 1000.0(0)/mV 16 0 -497 31168 0 III
E09822.mat 16x1+24 1000.0(0)/mV 16 0 112 18571 0 aVR
E09822.mat 16x1+24 1000.0(0)/mV 16 0 317 -32686 0 aVL
E09822.mat 16x1+24 1000.0(0)/mV 16 0 -429 14182 0 aVF
E09822.mat 16x1+24 1000.0(0)/mV 16 0 126 31701 0 V1
E09822.mat 16x1+24 1000.0(0)/mV 16 0 497 -28740 0 V2
E09822.mat 16x1+24 1000.0(0)/mV 16 0 380 23136 0 V3
E09822.mat 16x1+24 1000.0(0)/mV 16 0 624 19589 0 V4
E09822.mat 16x1+24 1000.0(0)/mV 16 0 390 -7662 0 V5
E09822.mat 16x1+24 1000.0(0)/mV 16 0 195 -31477 0 V6
# Age: 49
# Sex: Male
# Dx: 425623009,164934002
# Rx: Unknown
# Hx: Unknown