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

File: <base>/training/georgia/g10/E09975.hea (706 bytes) 
E09975 12 500 5000
E09975.mat 16x1+24 1000.0(0)/mV 16 0 39 -11440 0 I
E09975.mat 16x1+24 1000.0(0)/mV 16 0 107 12774 0 II
E09975.mat 16x1+24 1000.0(0)/mV 16 0 68 24810 0 III
E09975.mat 16x1+24 1000.0(0)/mV 16 0 -73 31952 0 aVR
E09975.mat 16x1+24 1000.0(0)/mV 16 0 -14 14227 0 aVL
E09975.mat 16x1+24 1000.0(0)/mV 16 0 87 18691 0 aVF
E09975.mat 16x1+24 1000.0(0)/mV 16 0 58 30483 0 V1
E09975.mat 16x1+24 1000.0(0)/mV 16 0 234 22925 0 V2
E09975.mat 16x1+24 1000.0(0)/mV 16 0 175 -463 0 V3
E09975.mat 16x1+24 1000.0(0)/mV 16 0 97 -5713 0 V4
E09975.mat 16x1+24 1000.0(0)/mV 16 0 58 8146 0 V5
E09975.mat 16x1+24 1000.0(0)/mV 16 0 -19 -26235 0 V6
# Age: 40
# Sex: Male
# Dx: 426783006
# Rx: Unknown
# Hx: Unknown