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

File: <base>/training/georgia/g10/E09958.hea (721 bytes) 
E09958 12 500 5000
E09958.mat 16x1+24 1000.0(0)/mV 16 0 9 -13129 0 I
E09958.mat 16x1+24 1000.0(0)/mV 16 0 -9 -26522 0 II
E09958.mat 16x1+24 1000.0(0)/mV 16 0 -19 -12997 0 III
E09958.mat 16x1+24 1000.0(0)/mV 16 0 0 19613 0 aVR
E09958.mat 16x1+24 1000.0(0)/mV 16 0 14 428 0 aVL
E09958.mat 16x1+24 1000.0(0)/mV 16 0 -14 -19596 0 aVF
E09958.mat 16x1+24 1000.0(0)/mV 16 0 -9 -2540 0 V1
E09958.mat 16x1+24 1000.0(0)/mV 16 0 9 -8584 0 V2
E09958.mat 16x1+24 1000.0(0)/mV 16 0 29 -7447 0 V3
E09958.mat 16x1+24 1000.0(0)/mV 16 0 29 -9746 0 V4
E09958.mat 16x1+24 1000.0(0)/mV 16 0 -9 4887 0 V5
E09958.mat 16x1+24 1000.0(0)/mV 16 0 19 -668 0 V6
# Age: 68
# Sex: Female
# Dx: 251146004,284470004,284470004
# Rx: Unknown
# Hx: Unknown