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

File: <base>/training/georgia/g2/E01396.hea (770 bytes) 
E01396 12 500 5000
E01396.mat 16x1+24 1000.0(0)/mV 16 0 -68 1754 0 I
E01396.mat 16x1+24 1000.0(0)/mV 16 0 -68 -2250 0 II
E01396.mat 16x1+24 1000.0(0)/mV 16 0 0 -3493 0 III
E01396.mat 16x1+24 1000.0(0)/mV 16 0 68 376 0 aVR
E01396.mat 16x1+24 1000.0(0)/mV 16 0 -34 2622 0 aVL
E01396.mat 16x1+24 1000.0(0)/mV 16 0 -34 -2783 0 aVF
E01396.mat 16x1+24 1000.0(0)/mV 16 0 68 -10157 0 V1
E01396.mat 16x1+24 1000.0(0)/mV 16 0 175 -11901 0 V2
E01396.mat 16x1+24 1000.0(0)/mV 16 0 165 -14579 0 V3
E01396.mat 16x1+24 1000.0(0)/mV 16 0 136 -4113 0 V4
E01396.mat 16x1+24 1000.0(0)/mV 16 0 -29 -2601 0 V5
E01396.mat 16x1+24 1000.0(0)/mV 16 0 -97 24008 0 V6
# Age: 40
# Sex: Male
# Dx: 713426002,89792004,164873001,59118001,266249003,67741000119109,428750005
# Rx: Unknown
# Hx: Unknown