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

File: <base>/training/georgia/g10/E09737.hea (723 bytes) 
E09737 12 500 5000
E09737.mat 16x1+24 1000.0(0)/mV 16 0 9 23221 0 I
E09737.mat 16x1+24 1000.0(0)/mV 16 0 -78 11227 0 II
E09737.mat 16x1+24 1000.0(0)/mV 16 0 -87 -12800 0 III
E09737.mat 16x1+24 1000.0(0)/mV 16 0 34 15996 0 aVR
E09737.mat 16x1+24 1000.0(0)/mV 16 0 48 18066 0 aVL
E09737.mat 16x1+24 1000.0(0)/mV 16 0 -82 31826 0 aVF
E09737.mat 16x1+24 1000.0(0)/mV 16 0 107 -25824 0 V1
E09737.mat 16x1+24 1000.0(0)/mV 16 0 78 8462 0 V2
E09737.mat 16x1+24 1000.0(0)/mV 16 0 244 7291 0 V3
E09737.mat 16x1+24 1000.0(0)/mV 16 0 273 -12789 0 V4
E09737.mat 16x1+24 1000.0(0)/mV 16 0 234 -11184 0 V5
E09737.mat 16x1+24 1000.0(0)/mV 16 0 175 22962 0 V6
# Age: 82
# Sex: Male
# Dx: 67741000119109,39732003
# Rx: Unknown
# Hx: Unknown