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

File: <base>/training/georgia/g1/E00407.hea (709 bytes) 
E00407 12 500 5000
E00407.mat 16x1+24 1000.0(0)/mV 16 0 -39 26370 0 I
E00407.mat 16x1+24 1000.0(0)/mV 16 0 9 23202 0 II
E00407.mat 16x1+24 1000.0(0)/mV 16 0 48 -3056 0 III
E00407.mat 16x1+24 1000.0(0)/mV 16 0 14 -24502 0 aVR
E00407.mat 16x1+24 1000.0(0)/mV 16 0 -43 14747 0 aVL
E00407.mat 16x1+24 1000.0(0)/mV 16 0 29 9889 0 aVF
E00407.mat 16x1+24 1000.0(0)/mV 16 0 -19 3408 0 V1
E00407.mat 16x1+24 1000.0(0)/mV 16 0 -48 529 0 V2
E00407.mat 16x1+24 1000.0(0)/mV 16 0 -107 27121 0 V3
E00407.mat 16x1+24 1000.0(0)/mV 16 0 -112 -11199 0 V4
E00407.mat 16x1+24 1000.0(0)/mV 16 0 -195 23836 0 V5
E00407.mat 16x1+24 1000.0(0)/mV 16 0 -14 -27004 0 V6
# Age: 50
# Sex: Male
# Dx: 164934002
# Rx: Unknown
# Hx: Unknown