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

File: <base>/training/georgia/g6/E05814.hea (711 bytes) 
E05814 12 500 5000
E05814.mat 16x1+24 1000.0(0)/mV 16 0 29 -13909 0 I
E05814.mat 16x1+24 1000.0(0)/mV 16 0 -58 -18991 0 II
E05814.mat 16x1+24 1000.0(0)/mV 16 0 -87 -4716 0 III
E05814.mat 16x1+24 1000.0(0)/mV 16 0 14 -16230 0 aVR
E05814.mat 16x1+24 1000.0(0)/mV 16 0 58 -4629 0 aVL
E05814.mat 16x1+24 1000.0(0)/mV 16 0 -73 21175 0 aVF
E05814.mat 16x1+24 1000.0(0)/mV 16 0 283 9873 0 V1
E05814.mat 16x1+24 1000.0(0)/mV 16 0 536 -16612 0 V2
E05814.mat 16x1+24 1000.0(0)/mV 16 0 126 3961 0 V3
E05814.mat 16x1+24 1000.0(0)/mV 16 0 19 17410 0 V4
E05814.mat 16x1+24 1000.0(0)/mV 16 0 -29 17953 0 V5
E05814.mat 16x1+24 1000.0(0)/mV 16 0 -48 -20075 0 V6
# Age: 70
# Sex: Male
# Dx: 428750005
# Rx: Unknown
# Hx: Unknown