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

File: <base>/training/georgia/g6/E05442.hea (750 bytes)
E05442 12 500 5000
E05442.mat 16x1+24 1000.0(0)/mV 16 0 229 27569 0 I
E05442.mat 16x1+24 1000.0(0)/mV 16 0 -4 -11743 0 II
E05442.mat 16x1+24 1000.0(0)/mV 16 0 -234 26299 0 III
E05442.mat 16x1+24 1000.0(0)/mV 16 0 -112 -7714 0 aVR
E05442.mat 16x1+24 1000.0(0)/mV 16 0 231 -32072 0 aVL
E05442.mat 16x1+24 1000.0(0)/mV 16 0 -119 -25511 0 aVF
E05442.mat 16x1+24 1000.0(0)/mV 16 0 -122 13260 0 V1
E05442.mat 16x1+24 1000.0(0)/mV 16 0 87 13473 0 V2
E05442.mat 16x1+24 1000.0(0)/mV 16 0 0 -15532 0 V3
E05442.mat 16x1+24 1000.0(0)/mV 16 0 24 18689 0 V4
E05442.mat 16x1+24 1000.0(0)/mV 16 0 -39 -26112 0 V5
E05442.mat 16x1+24 1000.0(0)/mV 16 0 -39 7596 0 V6
# Age: 65
# Sex: Male
# Dx: 67741000119109,427084000,425623009,164934002
# Rx: Unknown
# Hx: Unknown