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

File: <base>/training/georgia/g6/E05872.hea (755 bytes) 
E05872 12 500 5000
E05872.mat 16x1+24 1000.0(0)/mV 16 0 58 -22737 0 I
E05872.mat 16x1+24 1000.0(0)/mV 16 0 -39 -445 0 II
E05872.mat 16x1+24 1000.0(0)/mV 16 0 -97 21911 0 III
E05872.mat 16x1+24 1000.0(0)/mV 16 0 -9 -21287 0 aVR
E05872.mat 16x1+24 1000.0(0)/mV 16 0 78 -22326 0 aVL
E05872.mat 16x1+24 1000.0(0)/mV 16 0 -68 -22235 0 aVF
E05872.mat 16x1+24 1000.0(0)/mV 16 0 9 -26627 0 V1
E05872.mat 16x1+24 1000.0(0)/mV 16 0 136 19946 0 V2
E05872.mat 16x1+24 1000.0(0)/mV 16 0 58 -17670 0 V3
E05872.mat 16x1+24 1000.0(0)/mV 16 0 19 -17352 0 V4
E05872.mat 16x1+24 1000.0(0)/mV 16 0 214 -17229 0 V5
E05872.mat 16x1+24 1000.0(0)/mV 16 0 136 -32198 0 V6
# Age: 88
# Sex: Female
# Dx: 111975006,164930006,164889003,425419005,164934002
# Rx: Unknown
# Hx: Unknown