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

File: <base>/training/georgia/g10/E09647.hea (740 bytes) 
E09647 12 500 5000
E09647.mat 16x1+24 1000.0(0)/mV 16 0 283 5810 0 I
E09647.mat 16x1+24 1000.0(0)/mV 16 0 214 -6844 0 II
E09647.mat 16x1+24 1000.0(0)/mV 16 0 -68 -12577 0 III
E09647.mat 16x1+24 1000.0(0)/mV 16 0 -248 292 0 aVR
E09647.mat 16x1+24 1000.0(0)/mV 16 0 175 9165 0 aVL
E09647.mat 16x1+24 1000.0(0)/mV 16 0 73 -9740 0 aVF
E09647.mat 16x1+24 1000.0(0)/mV 16 0 29 -7473 0 V1
E09647.mat 16x1+24 1000.0(0)/mV 16 0 117 12898 0 V2
E09647.mat 16x1+24 1000.0(0)/mV 16 0 263 -25887 0 V3
E09647.mat 16x1+24 1000.0(0)/mV 16 0 224 -29715 0 V4
E09647.mat 16x1+24 1000.0(0)/mV 16 0 175 4385 0 V5
E09647.mat 16x1+24 1000.0(0)/mV 16 0 107 27906 0 V6
# Age: 36
# Sex: Female
# Dx: 428750005,164934002,251146004,59931005
# Rx: Unknown
# Hx: Unknown