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

File: <base>/training/georgia/g1/E00962.hea (696 bytes) 
E00962 12 500 5000
E00962.mat 16x1+24 1000.0(0)/mV 16 0 -9 -24765 0 I
E00962.mat 16x1+24 1000.0(0)/mV 16 0 0 -9722 0 II
E00962.mat 16x1+24 1000.0(0)/mV 16 0 9 15255 0 III
E00962.mat 16x1+24 1000.0(0)/mV 16 0 4 17154 0 aVR
E00962.mat 16x1+24 1000.0(0)/mV 16 0 -9 -19712 0 aVL
E00962.mat 16x1+24 1000.0(0)/mV 16 0 4 2886 0 aVF
E00962.mat 16x1+24 1000.0(0)/mV 16 0 0 -12222 0 V1
E00962.mat 16x1+24 1000.0(0)/mV 16 0 9 2691 0 V2
E00962.mat 16x1+24 1000.0(0)/mV 16 0 -9 -26330 0 V3
E00962.mat 16x1+24 1000.0(0)/mV 16 0 -19 5923 0 V4
E00962.mat 16x1+24 1000.0(0)/mV 16 0 -29 15524 0 V5
E00962.mat 16x1+24 1000.0(0)/mV 16 0 -9 9103 0 V6
# Age: 60
# Sex: Male
# Dx: 426783006
# Rx: Unknown
# Hx: Unknown