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

File: <base>/training/georgia/g10/E09469.hea (715 bytes) 
E09469 12 500 5000
E09469.mat 16x1+24 1000.0(0)/mV 16 0 0 31942 0 I
E09469.mat 16x1+24 1000.0(0)/mV 16 0 19 31754 0 II
E09469.mat 16x1+24 1000.0(0)/mV 16 0 19 351 0 III
E09469.mat 16x1+24 1000.0(0)/mV 16 0 -9 -32369 0 aVR
E09469.mat 16x1+24 1000.0(0)/mV 16 0 -9 15673 0 aVL
E09469.mat 16x1+24 1000.0(0)/mV 16 0 19 16063 0 aVF
E09469.mat 16x1+24 1000.0(0)/mV 16 0 -126 23811 0 V1
E09469.mat 16x1+24 1000.0(0)/mV 16 0 -136 19251 0 V2
E09469.mat 16x1+24 1000.0(0)/mV 16 0 -78 15723 0 V3
E09469.mat 16x1+24 1000.0(0)/mV 16 0 -68 17639 0 V4
E09469.mat 16x1+24 1000.0(0)/mV 16 0 29 -31433 0 V5
E09469.mat 16x1+24 1000.0(0)/mV 16 0 9 -22228 0 V6
# Age: 63
# Sex: Male
# Dx: 425623009,164934002
# Rx: Unknown
# Hx: Unknown