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

File: <base>/training/georgia/g9/E08723.hea (727 bytes) 
E08723 12 500 5000
E08723.mat 16x1+24 1000.0(0)/mV 16 0 -107 -20445 0 I
E08723.mat 16x1+24 1000.0(0)/mV 16 0 -68 -23432 0 II
E08723.mat 16x1+24 1000.0(0)/mV 16 0 39 -3565 0 III
E08723.mat 16x1+24 1000.0(0)/mV 16 0 87 21954 0 aVR
E08723.mat 16x1+24 1000.0(0)/mV 16 0 -73 -8230 0 aVL
E08723.mat 16x1+24 1000.0(0)/mV 16 0 -14 -12385 0 aVF
E08723.mat 16x1+24 1000.0(0)/mV 16 0 19 29629 0 V1
E08723.mat 16x1+24 1000.0(0)/mV 16 0 -34 12537 0 V2
E08723.mat 16x1+24 1000.0(0)/mV 16 0 -126 28742 0 V3
E08723.mat 16x1+24 1000.0(0)/mV 16 0 -214 -24298 0 V4
E08723.mat 16x1+24 1000.0(0)/mV 16 0 -175 2502 0 V5
E08723.mat 16x1+24 1000.0(0)/mV 16 0 -97 -16248 0 V6
# Age: 68
# Sex: Male
# Dx: 164873001,426177001
# Rx: Unknown
# Hx: Unknown