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

File: <base>/training/georgia/g1/E00363.hea (722 bytes) 
E00363 12 500 5000
E00363.mat 16x1+24 1000.0(0)/mV 16 0 341 -13378 0 I
E00363.mat 16x1+24 1000.0(0)/mV 16 0 312 -18574 0 II
E00363.mat 16x1+24 1000.0(0)/mV 16 0 -29 -4182 0 III
E00363.mat 16x1+24 1000.0(0)/mV 16 0 -326 16135 0 aVR
E00363.mat 16x1+24 1000.0(0)/mV 16 0 185 -5125 0 aVL
E00363.mat 16x1+24 1000.0(0)/mV 16 0 141 -11365 0 aVF
E00363.mat 16x1+24 1000.0(0)/mV 16 0 -517 -22179 0 V1
E00363.mat 16x1+24 1000.0(0)/mV 16 0 -507 -23021 0 V2
E00363.mat 16x1+24 1000.0(0)/mV 16 0 -1073 -243 0 V3
E00363.mat 16x1+24 1000.0(0)/mV 16 0 214 -5476 0 V4
E00363.mat 16x1+24 1000.0(0)/mV 16 0 634 4269 0 V5
E00363.mat 16x1+24 1000.0(0)/mV 16 0 673 16774 0 V6
# Age: 74
# Sex: Female
# Dx: 428750005
# Rx: Unknown
# Hx: Unknown