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

File: <base>/training/georgia/g9/E08309.hea (706 bytes) 
E08309 12 500 5000
E08309.mat 16x1+24 1000.0(0)/mV 16 0 -19 3966 0 I
E08309.mat 16x1+24 1000.0(0)/mV 16 0 -48 -25404 0 II
E08309.mat 16x1+24 1000.0(0)/mV 16 0 -29 -28843 0 III
E08309.mat 16x1+24 1000.0(0)/mV 16 0 34 -21996 0 aVR
E08309.mat 16x1+24 1000.0(0)/mV 16 0 4 -16267 0 aVL
E08309.mat 16x1+24 1000.0(0)/mV 16 0 -39 -27089 0 aVF
E08309.mat 16x1+24 1000.0(0)/mV 16 0 9 -6381 0 V1
E08309.mat 16x1+24 1000.0(0)/mV 16 0 9 -27902 0 V2
E08309.mat 16x1+24 1000.0(0)/mV 16 0 0 23898 0 V3
E08309.mat 16x1+24 1000.0(0)/mV 16 0 -19 29127 0 V4
E08309.mat 16x1+24 1000.0(0)/mV 16 0 0 -3883 0 V5
E08309.mat 16x1+24 1000.0(0)/mV 16 0 -19 -1760 0 V6
# Age: 59
# Sex: Male
# Dx: 428750005
# Rx: Unknown
# Hx: Unknown