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

File: <base>/training/georgia/g5/E04751.hea (742 bytes) 
E04751 12 500 5000
E04751.mat 16x1+24 1000.0(0)/mV 16 0 -253 21743 0 I
E04751.mat 16x1+24 1000.0(0)/mV 16 0 -346 20994 0 II
E04751.mat 16x1+24 1000.0(0)/mV 16 0 -92 -93 0 III
E04751.mat 16x1+24 1000.0(0)/mV 16 0 300 -21455 0 aVR
E04751.mat 16x1+24 1000.0(0)/mV 16 0 -80 10415 0 aVL
E04751.mat 16x1+24 1000.0(0)/mV 16 0 -219 10616 0 aVF
E04751.mat 16x1+24 1000.0(0)/mV 16 0 -68 -7791 0 V1
E04751.mat 16x1+24 1000.0(0)/mV 16 0 -107 -7570 0 V2
E04751.mat 16x1+24 1000.0(0)/mV 16 0 39 -9368 0 V3
E04751.mat 16x1+24 1000.0(0)/mV 16 0 -63 25104 0 V4
E04751.mat 16x1+24 1000.0(0)/mV 16 0 4 1298 0 V5
E04751.mat 16x1+24 1000.0(0)/mV 16 0 -43 4436 0 V6
# Age: 74
# Sex: Male
# Dx: 59118001,67741000119109,270492004,6374002
# Rx: Unknown
# Hx: Unknown