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

File: <base>/training/georgia/g10/E09550.hea (715 bytes) 
E09550 12 500 5000
E09550.mat 16x1+24 1000.0(0)/mV 16 0 190 -11238 0 I
E09550.mat 16x1+24 1000.0(0)/mV 16 0 546 -24985 0 II
E09550.mat 16x1+24 1000.0(0)/mV 16 0 356 -13001 0 III
E09550.mat 16x1+24 1000.0(0)/mV 16 0 -368 -14043 0 aVR
E09550.mat 16x1+24 1000.0(0)/mV 16 0 -82 1282 0 aVL
E09550.mat 16x1+24 1000.0(0)/mV 16 0 451 14005 0 aVF
E09550.mat 16x1+24 1000.0(0)/mV 16 0 107 6568 0 V1
E09550.mat 16x1+24 1000.0(0)/mV 16 0 -4 -5781 0 V2
E09550.mat 16x1+24 1000.0(0)/mV 16 0 -19 14551 0 V3
E09550.mat 16x1+24 1000.0(0)/mV 16 0 424 1874 0 V4
E09550.mat 16x1+24 1000.0(0)/mV 16 0 -1132 -9842 0 V5
E09550.mat 16x1+24 1000.0(0)/mV 16 0 195 11748 0 V6
# Age: 82
# Sex: Male
# Dx: 164873001
# Rx: Unknown
# Hx: Unknown