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

File: <base>/training/georgia/g10/E09465.hea (723 bytes) 
E09465 12 500 5000
E09465.mat 16x1+24 1000.0(0)/mV 16 0 24 -9357 0 I
E09465.mat 16x1+24 1000.0(0)/mV 16 0 -24 4599 0 II
E09465.mat 16x1+24 1000.0(0)/mV 16 0 -48 13355 0 III
E09465.mat 16x1+24 1000.0(0)/mV 16 0 0 2408 0 aVR
E09465.mat 16x1+24 1000.0(0)/mV 16 0 36 21445 0 aVL
E09465.mat 16x1+24 1000.0(0)/mV 16 0 -36 -23799 0 aVF
E09465.mat 16x1+24 1000.0(0)/mV 16 0 -9 21528 0 V1
E09465.mat 16x1+24 1000.0(0)/mV 16 0 -29 1010 0 V2
E09465.mat 16x1+24 1000.0(0)/mV 16 0 -39 25053 0 V3
E09465.mat 16x1+24 1000.0(0)/mV 16 0 -48 2243 0 V4
E09465.mat 16x1+24 1000.0(0)/mV 16 0 -112 22471 0 V5
E09465.mat 16x1+24 1000.0(0)/mV 16 0 -82 4827 0 V6
# Age: 70
# Sex: Male
# Dx: 428750005,59931005,284470004
# Rx: Unknown
# Hx: Unknown