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

File: <base>/training/georgia/g5/E04992.hea (736 bytes) 
E04992 12 500 5000
E04992.mat 16x1+24 1000.0(0)/mV 16 0 -73 14830 0 I
E04992.mat 16x1+24 1000.0(0)/mV 16 0 -14 10560 0 II
E04992.mat 16x1+24 1000.0(0)/mV 16 0 58 -4291 0 III
E04992.mat 16x1+24 1000.0(0)/mV 16 0 43 19418 0 aVR
E04992.mat 16x1+24 1000.0(0)/mV 16 0 -65 -23071 0 aVL
E04992.mat 16x1+24 1000.0(0)/mV 16 0 21 2755 0 aVF
E04992.mat 16x1+24 1000.0(0)/mV 16 0 -14 9973 0 V1
E04992.mat 16x1+24 1000.0(0)/mV 16 0 -63 -1014 0 V2
E04992.mat 16x1+24 1000.0(0)/mV 16 0 34 -32044 0 V3
E04992.mat 16x1+24 1000.0(0)/mV 16 0 34 -12493 0 V4
E04992.mat 16x1+24 1000.0(0)/mV 16 0 43 -26497 0 V5
E04992.mat 16x1+24 1000.0(0)/mV 16 0 58 -8284 0 V6
# Age: 78
# Sex: Male
# Dx: 39732003,426177001,164934002,164873001
# Rx: Unknown
# Hx: Unknown