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

File: <base>/training/georgia/g10/E09688.hea (721 bytes) 
E09688 12 500 5000
E09688.mat 16x1+24 1000.0(0)/mV 16 0 -29 -17512 0 I
E09688.mat 16x1+24 1000.0(0)/mV 16 0 -48 -30644 0 II
E09688.mat 16x1+24 1000.0(0)/mV 16 0 -19 -12830 0 III
E09688.mat 16x1+24 1000.0(0)/mV 16 0 39 23927 0 aVR
E09688.mat 16x1+24 1000.0(0)/mV 16 0 -4 -1912 0 aVL
E09688.mat 16x1+24 1000.0(0)/mV 16 0 -34 -21417 0 aVF
E09688.mat 16x1+24 1000.0(0)/mV 16 0 9 -25347 0 V1
E09688.mat 16x1+24 1000.0(0)/mV 16 0 -29 -6635 0 V2
E09688.mat 16x1+24 1000.0(0)/mV 16 0 39 -7389 0 V3
E09688.mat 16x1+24 1000.0(0)/mV 16 0 19 16638 0 V4
E09688.mat 16x1+24 1000.0(0)/mV 16 0 48 13035 0 V5
E09688.mat 16x1+24 1000.0(0)/mV 16 0 19 10999 0 V6
# Age: 64
# Sex: Female
# Dx: 426177001,251146004
# Rx: Unknown
# Hx: Unknown