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

File: <base>/training/georgia/g8/E07914.hea (718 bytes) 
E07914 12 500 5000
E07914.mat 16x1+24 1000.0(0)/mV 16 0 -24 6708 0 I
E07914.mat 16x1+24 1000.0(0)/mV 16 0 -136 290 0 II
E07914.mat 16x1+24 1000.0(0)/mV 16 0 -112 -5322 0 III
E07914.mat 16x1+24 1000.0(0)/mV 16 0 80 -3646 0 aVR
E07914.mat 16x1+24 1000.0(0)/mV 16 0 43 5162 0 aVL
E07914.mat 16x1+24 1000.0(0)/mV 16 0 -124 -2618 0 aVF
E07914.mat 16x1+24 1000.0(0)/mV 16 0 48 30145 0 V1
E07914.mat 16x1+24 1000.0(0)/mV 16 0 19 14131 0 V2
E07914.mat 16x1+24 1000.0(0)/mV 16 0 107 -26692 0 V3
E07914.mat 16x1+24 1000.0(0)/mV 16 0 -53 13087 0 V4
E07914.mat 16x1+24 1000.0(0)/mV 16 0 -92 27549 0 V5
E07914.mat 16x1+24 1000.0(0)/mV 16 0 -126 15571 0 V6
# Age: 75
# Sex: Male
# Dx: 428750005,47665007
# Rx: Unknown
# Hx: Unknown