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

File: <base>/training/georgia/g10/E09212.hea (709 bytes) 
E09212 12 500 5000
E09212.mat 16x1+24 1000.0(0)/mV 16 0 -48 -16465 0 I
E09212.mat 16x1+24 1000.0(0)/mV 16 0 -29 31298 0 II
E09212.mat 16x1+24 1000.0(0)/mV 16 0 19 -18198 0 III
E09212.mat 16x1+24 1000.0(0)/mV 16 0 39 25404 0 aVR
E09212.mat 16x1+24 1000.0(0)/mV 16 0 -34 977 0 aVL
E09212.mat 16x1+24 1000.0(0)/mV 16 0 -4 -25836 0 aVF
E09212.mat 16x1+24 1000.0(0)/mV 16 0 0 -14157 0 V1
E09212.mat 16x1+24 1000.0(0)/mV 16 0 -29 -9390 0 V2
E09212.mat 16x1+24 1000.0(0)/mV 16 0 -58 -11726 0 V3
E09212.mat 16x1+24 1000.0(0)/mV 16 0 -68 5198 0 V4
E09212.mat 16x1+24 1000.0(0)/mV 16 0 -78 -443 0 V5
E09212.mat 16x1+24 1000.0(0)/mV 16 0 -58 -10488 0 V6
# Age: 53
# Sex: Male
# Dx: 426783006
# Rx: Unknown
# Hx: Unknown