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

File: <base>/training/georgia/g10/E09692.hea (729 bytes) 
E09692 12 500 5000
E09692.mat 16x1+24 1000.0(0)/mV 16 0 19 25579 0 I
E09692.mat 16x1+24 1000.0(0)/mV 16 0 -331 -3639 0 II
E09692.mat 16x1+24 1000.0(0)/mV 16 0 -351 -29948 0 III
E09692.mat 16x1+24 1000.0(0)/mV 16 0 156 21638 0 aVR
E09692.mat 16x1+24 1000.0(0)/mV 16 0 185 -5219 0 aVL
E09692.mat 16x1+24 1000.0(0)/mV 16 0 -341 -16931 0 aVF
E09692.mat 16x1+24 1000.0(0)/mV 16 0 9 16025 0 V1
E09692.mat 16x1+24 1000.0(0)/mV 16 0 -478 -6107 0 V2
E09692.mat 16x1+24 1000.0(0)/mV 16 0 -800 23914 0 V3
E09692.mat 16x1+24 1000.0(0)/mV 16 0 -878 31003 0 V4
E09692.mat 16x1+24 1000.0(0)/mV 16 0 -780 29149 0 V5
E09692.mat 16x1+24 1000.0(0)/mV 16 0 -653 22257 0 V6
# Age: 69
# Sex: Male
# Dx: 445118002,164884008
# Rx: Unknown
# Hx: Unknown