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

File: <base>/training/georgia/g10/E09627.hea (732 bytes) 
E09627 12 500 5000
E09627.mat 16x1+24 1000.0(0)/mV 16 0 -131 13932 0 I
E09627.mat 16x1+24 1000.0(0)/mV 16 0 39 7572 0 II
E09627.mat 16x1+24 1000.0(0)/mV 16 0 170 -5261 0 III
E09627.mat 16x1+24 1000.0(0)/mV 16 0 46 -11671 0 aVR
E09627.mat 16x1+24 1000.0(0)/mV 16 0 -151 -23023 0 aVL
E09627.mat 16x1+24 1000.0(0)/mV 16 0 104 -31852 0 aVF
E09627.mat 16x1+24 1000.0(0)/mV 16 0 190 -4281 0 V1
E09627.mat 16x1+24 1000.0(0)/mV 16 0 180 -5964 0 V2
E09627.mat 16x1+24 1000.0(0)/mV 16 0 468 2527 0 V3
E09627.mat 16x1+24 1000.0(0)/mV 16 0 351 17491 0 V4
E09627.mat 16x1+24 1000.0(0)/mV 16 0 107 21505 0 V5
E09627.mat 16x1+24 1000.0(0)/mV 16 0 -122 7498 0 V6
# Age: 78
# Sex: Female
# Dx: 164909002,6374002,39732003
# Rx: Unknown
# Hx: Unknown