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

File: <base>/training/georgia/g6/E05909.hea (711 bytes) 
E05909 12 500 5000
E05909.mat 16x1+24 1000.0(0)/mV 16 0 -68 -8652 0 I
E05909.mat 16x1+24 1000.0(0)/mV 16 0 -19 -2015 0 II
E05909.mat 16x1+24 1000.0(0)/mV 16 0 48 6980 0 III
E05909.mat 16x1+24 1000.0(0)/mV 16 0 43 -27785 0 aVR
E05909.mat 16x1+24 1000.0(0)/mV 16 0 -58 24996 0 aVL
E05909.mat 16x1+24 1000.0(0)/mV 16 0 14 2415 0 aVF
E05909.mat 16x1+24 1000.0(0)/mV 16 0 39 1347 0 V1
E05909.mat 16x1+24 1000.0(0)/mV 16 0 107 -14559 0 V2
E05909.mat 16x1+24 1000.0(0)/mV 16 0 48 23121 0 V3
E05909.mat 16x1+24 1000.0(0)/mV 16 0 -9 31427 0 V4
E05909.mat 16x1+24 1000.0(0)/mV 16 0 -9 21830 0 V5
E05909.mat 16x1+24 1000.0(0)/mV 16 0 0 31180 0 V6
# Age: 64
# Sex: Male
# Dx: 164889003,39732003
# Rx: Unknown
# Hx: Unknown