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

File: <base>/training/georgia/g7/E06309.hea (745 bytes) 
E06309 12 500 5000
E06309.mat 16x1+24 1000.0(0)/mV 16 0 -58 -21039 0 I
E06309.mat 16x1+24 1000.0(0)/mV 16 0 68 -9328 0 II
E06309.mat 16x1+24 1000.0(0)/mV 16 0 126 11404 0 III
E06309.mat 16x1+24 1000.0(0)/mV 16 0 -4 14818 0 aVR
E06309.mat 16x1+24 1000.0(0)/mV 16 0 -92 -16252 0 aVL
E06309.mat 16x1+24 1000.0(0)/mV 16 0 97 630 0 aVF
E06309.mat 16x1+24 1000.0(0)/mV 16 0 29 -21700 0 V1
E06309.mat 16x1+24 1000.0(0)/mV 16 0 78 -1870 0 V2
E06309.mat 16x1+24 1000.0(0)/mV 16 0 68 29588 0 V3
E06309.mat 16x1+24 1000.0(0)/mV 16 0 9 31238 0 V4
E06309.mat 16x1+24 1000.0(0)/mV 16 0 -48 -10975 0 V5
E06309.mat 16x1+24 1000.0(0)/mV 16 0 -58 -5313 0 V6
# Age: 73
# Sex: Male
# Dx: 428750005,164934002,59931005,284470004,284470004
# Rx: Unknown
# Hx: Unknown