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

File: <base>/training/georgia/g7/E06623.hea (704 bytes) 
E06623 12 500 5000
E06623.mat 16x1+24 1000.0(0)/mV 16 0 -82 5071 0 I
E06623.mat 16x1+24 1000.0(0)/mV 16 0 -112 5565 0 II
E06623.mat 16x1+24 1000.0(0)/mV 16 0 -29 113 0 III
E06623.mat 16x1+24 1000.0(0)/mV 16 0 97 27311 0 aVR
E06623.mat 16x1+24 1000.0(0)/mV 16 0 -26 2515 0 aVL
E06623.mat 16x1+24 1000.0(0)/mV 16 0 -70 -30286 0 aVF
E06623.mat 16x1+24 1000.0(0)/mV 16 0 78 -18038 0 V1
E06623.mat 16x1+24 1000.0(0)/mV 16 0 24 -24238 0 V2
E06623.mat 16x1+24 1000.0(0)/mV 16 0 9 391 0 V3
E06623.mat 16x1+24 1000.0(0)/mV 16 0 39 -6085 0 V4
E06623.mat 16x1+24 1000.0(0)/mV 16 0 14 6456 0 V5
E06623.mat 16x1+24 1000.0(0)/mV 16 0 -29 -32439 0 V6
# Age: 65
# Sex: Female
# Dx: 164873001
# Rx: Unknown
# Hx: Unknown