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

File: <base>/training/georgia/g10/E09763.hea (710 bytes) 
E09763 12 500 5000
E09763.mat 16x1+24 1000.0(0)/mV 16 0 -87 15301 0 I
E09763.mat 16x1+24 1000.0(0)/mV 16 0 -9 31332 0 II
E09763.mat 16x1+24 1000.0(0)/mV 16 0 78 16460 0 III
E09763.mat 16x1+24 1000.0(0)/mV 16 0 48 9407 0 aVR
E09763.mat 16x1+24 1000.0(0)/mV 16 0 -82 32340 0 aVL
E09763.mat 16x1+24 1000.0(0)/mV 16 0 34 23860 0 aVF
E09763.mat 16x1+24 1000.0(0)/mV 16 0 9 25591 0 V1
E09763.mat 16x1+24 1000.0(0)/mV 16 0 19 -15506 0 V2
E09763.mat 16x1+24 1000.0(0)/mV 16 0 58 -84 0 V3
E09763.mat 16x1+24 1000.0(0)/mV 16 0 -341 -7534 0 V4
E09763.mat 16x1+24 1000.0(0)/mV 16 0 -9 21177 0 V5
E09763.mat 16x1+24 1000.0(0)/mV 16 0 -87 5061 0 V6
# Age: 52
# Sex: Male
# Dx: 427084000,59931005
# Rx: Unknown
# Hx: Unknown