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

File: <base>/training/georgia/g2/E01502.hea (731 bytes) 
E01502 12 500 5000
E01502.mat 16x1+24 1000.0(0)/mV 16 0 -9 -4221 0 I
E01502.mat 16x1+24 1000.0(0)/mV 16 0 -29 -5099 0 II
E01502.mat 16x1+24 1000.0(0)/mV 16 0 -19 -902 0 III
E01502.mat 16x1+24 1000.0(0)/mV 16 0 19 4392 0 aVR
E01502.mat 16x1+24 1000.0(0)/mV 16 0 4 -1423 0 aVL
E01502.mat 16x1+24 1000.0(0)/mV 16 0 -24 -2873 0 aVF
E01502.mat 16x1+24 1000.0(0)/mV 16 0 -107 -23784 0 V1
E01502.mat 16x1+24 1000.0(0)/mV 16 0 -87 -22742 0 V2
E01502.mat 16x1+24 1000.0(0)/mV 16 0 -117 -24150 0 V3
E01502.mat 16x1+24 1000.0(0)/mV 16 0 -9 -10315 0 V4
E01502.mat 16x1+24 1000.0(0)/mV 16 0 -9 -2172 0 V5
E01502.mat 16x1+24 1000.0(0)/mV 16 0 -68 -31439 0 V6
# Age: 73
# Sex: Female
# Dx: 59118001,426177001,59931005
# Rx: Unknown
# Hx: Unknown