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

File: <base>/training/georgia/g1/E00579.hea (744 bytes) 
E00579 12 500 5000
E00579.mat 16x1+24 1000.0(0)/mV 16 0 -68 -13936 0 I
E00579.mat 16x1+24 1000.0(0)/mV 16 0 -48 30677 0 II
E00579.mat 16x1+24 1000.0(0)/mV 16 0 19 -21677 0 III
E00579.mat 16x1+24 1000.0(0)/mV 16 0 58 24345 0 aVR
E00579.mat 16x1+24 1000.0(0)/mV 16 0 -43 4057 0 aVL
E00579.mat 16x1+24 1000.0(0)/mV 16 0 -14 -28221 0 aVF
E00579.mat 16x1+24 1000.0(0)/mV 16 0 48 -28257 0 V1
E00579.mat 16x1+24 1000.0(0)/mV 16 0 19 28340 0 V2
E00579.mat 16x1+24 1000.0(0)/mV 16 0 -19 28769 0 V3
E00579.mat 16x1+24 1000.0(0)/mV 16 0 -78 -17598 0 V4
E00579.mat 16x1+24 1000.0(0)/mV 16 0 -107 -11645 0 V5
E00579.mat 16x1+24 1000.0(0)/mV 16 0 -87 -14734 0 V6
# Age: 64
# Sex: Male
# Dx: 428750005,164934002,59931005,164873001
# Rx: Unknown
# Hx: Unknown