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

File: <base>/training/georgia/g3/E02274.hea (723 bytes) 
E02274 12 500 5000
E02274.mat 16x1+24 1000.0(0)/mV 16 0 -68 -92 0 I
E02274.mat 16x1+24 1000.0(0)/mV 16 0 -146 -30879 0 II
E02274.mat 16x1+24 1000.0(0)/mV 16 0 -78 -30782 0 III
E02274.mat 16x1+24 1000.0(0)/mV 16 0 107 -17294 0 aVR
E02274.mat 16x1+24 1000.0(0)/mV 16 0 4 15448 0 aVL
E02274.mat 16x1+24 1000.0(0)/mV 16 0 -112 2149 0 aVF
E02274.mat 16x1+24 1000.0(0)/mV 16 0 -117 -19812 0 V1
E02274.mat 16x1+24 1000.0(0)/mV 16 0 -68 28833 0 V2
E02274.mat 16x1+24 1000.0(0)/mV 16 0 -39 -19960 0 V3
E02274.mat 16x1+24 1000.0(0)/mV 16 0 -9 2464 0 V4
E02274.mat 16x1+24 1000.0(0)/mV 16 0 0 25316 0 V5
E02274.mat 16x1+24 1000.0(0)/mV 16 0 -19 24153 0 V6
# Age: 88
# Sex: Female
# Dx: 164889003,164934002
# Rx: Unknown
# Hx: Unknown