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

File: <base>/training/georgia/g10/E09519.hea (695 bytes) 
E09519 12 500 5000
E09519.mat 16x1+24 1000.0(0)/mV 16 0 0 -10454 0 I
E09519.mat 16x1+24 1000.0(0)/mV 16 0 0 -12542 0 II
E09519.mat 16x1+24 1000.0(0)/mV 16 0 0 -1870 0 III
E09519.mat 16x1+24 1000.0(0)/mV 16 0 0 11279 0 aVR
E09519.mat 16x1+24 1000.0(0)/mV 16 0 0 -4884 0 aVL
E09519.mat 16x1+24 1000.0(0)/mV 16 0 0 -7226 0 aVF
E09519.mat 16x1+24 1000.0(0)/mV 16 0 9 -12279 0 V1
E09519.mat 16x1+24 1000.0(0)/mV 16 0 39 7425 0 V2
E09519.mat 16x1+24 1000.0(0)/mV 16 0 0 -194 0 V3
E09519.mat 16x1+24 1000.0(0)/mV 16 0 9 -14690 0 V4
E09519.mat 16x1+24 1000.0(0)/mV 16 0 19 -21362 0 V5
E09519.mat 16x1+24 1000.0(0)/mV 16 0 -9 -22828 0 V6
# Age: 42
# Sex: Male
# Dx: 251146004
# Rx: Unknown
# Hx: Unknown