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

File: <base>/training/georgia/g10/E09413.hea (730 bytes) 
E09413 12 500 5000
E09413.mat 16x1+24 1000.0(0)/mV 16 0 58 -22071 0 I
E09413.mat 16x1+24 1000.0(0)/mV 16 0 546 -15174 0 II
E09413.mat 16x1+24 1000.0(0)/mV 16 0 488 6478 0 III
E09413.mat 16x1+24 1000.0(0)/mV 16 0 -302 17799 0 aVR
E09413.mat 16x1+24 1000.0(0)/mV 16 0 -214 -14920 0 aVL
E09413.mat 16x1+24 1000.0(0)/mV 16 0 517 -4343 0 aVF
E09413.mat 16x1+24 1000.0(0)/mV 16 0 -556 -20189 0 V1
E09413.mat 16x1+24 1000.0(0)/mV 16 0 -868 -18420 0 V2
E09413.mat 16x1+24 1000.0(0)/mV 16 0 -849 -17880 0 V3
E09413.mat 16x1+24 1000.0(0)/mV 16 0 780 3699 0 V4
E09413.mat 16x1+24 1000.0(0)/mV 16 0 810 7493 0 V5
E09413.mat 16x1+24 1000.0(0)/mV 16 0 1561 17877 0 V6
# Age: 61
# Sex: Male
# Dx: 428750005,426177001
# Rx: Unknown
# Hx: Unknown