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

File: <base>/training/georgia/g10/E09234.hea (712 bytes) 
E09234 12 500 5000
E09234.mat 16x1+24 1000.0(0)/mV 16 0 19 26604 0 I
E09234.mat 16x1+24 1000.0(0)/mV 16 0 19 22820 0 II
E09234.mat 16x1+24 1000.0(0)/mV 16 0 0 -4360 0 III
E09234.mat 16x1+24 1000.0(0)/mV 16 0 -19 -24726 0 aVR
E09234.mat 16x1+24 1000.0(0)/mV 16 0 9 15520 0 aVL
E09234.mat 16x1+24 1000.0(0)/mV 16 0 9 9151 0 aVF
E09234.mat 16x1+24 1000.0(0)/mV 16 0 29 -11349 0 V1
E09234.mat 16x1+24 1000.0(0)/mV 16 0 -29 -21455 0 V2
E09234.mat 16x1+24 1000.0(0)/mV 16 0 -9 -30401 0 V3
E09234.mat 16x1+24 1000.0(0)/mV 16 0 -9 -23625 0 V4
E09234.mat 16x1+24 1000.0(0)/mV 16 0 -9 4936 0 V5
E09234.mat 16x1+24 1000.0(0)/mV 16 0 -39 4448 0 V6
# Age: 68
# Sex: Male
# Dx: 425623009,164934002
# Rx: Unknown
# Hx: Unknown