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

File: <base>/training/georgia/g6/E05743.hea (717 bytes) 
E05743 12 500 5000
E05743.mat 16x1+24 1000.0(0)/mV 16 0 -9 -25140 0 I
E05743.mat 16x1+24 1000.0(0)/mV 16 0 117 12485 0 II
E05743.mat 16x1+24 1000.0(0)/mV 16 0 126 -27883 0 III
E05743.mat 16x1+24 1000.0(0)/mV 16 0 -53 5935 0 aVR
E05743.mat 16x1+24 1000.0(0)/mV 16 0 -68 -31522 0 aVL
E05743.mat 16x1+24 1000.0(0)/mV 16 0 122 25071 0 aVF
E05743.mat 16x1+24 1000.0(0)/mV 16 0 58 1984 0 V1
E05743.mat 16x1+24 1000.0(0)/mV 16 0 58 -1311 0 V2
E05743.mat 16x1+24 1000.0(0)/mV 16 0 48 -15466 0 V3
E05743.mat 16x1+24 1000.0(0)/mV 16 0 29 18168 0 V4
E05743.mat 16x1+24 1000.0(0)/mV 16 0 39 26582 0 V5
E05743.mat 16x1+24 1000.0(0)/mV 16 0 39 -17483 0 V6
# Age: 83
# Sex: Male
# Dx: 59118001,164889003
# Rx: Unknown
# Hx: Unknown