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

File: <base>/training/georgia/g10/E09785.hea (725 bytes) 
E09785 12 500 5000
E09785.mat 16x1+24 1000.0(0)/mV 16 0 -19 -29751 0 I
E09785.mat 16x1+24 1000.0(0)/mV 16 0 -29 -28892 0 II
E09785.mat 16x1+24 1000.0(0)/mV 16 0 -9 1250 0 III
E09785.mat 16x1+24 1000.0(0)/mV 16 0 24 29375 0 aVR
E09785.mat 16x1+24 1000.0(0)/mV 16 0 -4 -14601 0 aVL
E09785.mat 16x1+24 1000.0(0)/mV 16 0 -19 -13443 0 aVF
E09785.mat 16x1+24 1000.0(0)/mV 16 0 39 -12787 0 V1
E09785.mat 16x1+24 1000.0(0)/mV 16 0 9 -18236 0 V2
E09785.mat 16x1+24 1000.0(0)/mV 16 0 0 -28668 0 V3
E09785.mat 16x1+24 1000.0(0)/mV 16 0 -9 -17118 0 V4
E09785.mat 16x1+24 1000.0(0)/mV 16 0 -9 -25065 0 V5
E09785.mat 16x1+24 1000.0(0)/mV 16 0 -9 -26229 0 V6
# Age: 40
# Sex: Male
# Dx: 67741000119109,426177001
# Rx: Unknown
# Hx: Unknown