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

File: <base>/training/georgia/g3/E02584.hea (711 bytes) 
E02584 12 500 5000
E02584.mat 16x1+24 1000.0(0)/mV 16 0 -19 -11693 0 I
E02584.mat 16x1+24 1000.0(0)/mV 16 0 -29 20763 0 II
E02584.mat 16x1+24 1000.0(0)/mV 16 0 -9 -32396 0 III
E02584.mat 16x1+24 1000.0(0)/mV 16 0 24 -4449 0 aVR
E02584.mat 16x1+24 1000.0(0)/mV 16 0 -4 -22215 0 aVL
E02584.mat 16x1+24 1000.0(0)/mV 16 0 -19 27023 0 aVF
E02584.mat 16x1+24 1000.0(0)/mV 16 0 -19 27108 0 V1
E02584.mat 16x1+24 1000.0(0)/mV 16 0 -68 -6485 0 V2
E02584.mat 16x1+24 1000.0(0)/mV 16 0 -39 -11014 0 V3
E02584.mat 16x1+24 1000.0(0)/mV 16 0 -19 30211 0 V4
E02584.mat 16x1+24 1000.0(0)/mV 16 0 -9 4556 0 V5
E02584.mat 16x1+24 1000.0(0)/mV 16 0 -39 17188 0 V6
# Age: 65
# Sex: Male
# Dx: 426783006
# Rx: Unknown
# Hx: Unknown