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

File: <base>/training/georgia/g10/E09979.hea (723 bytes) 
E09979 12 500 5000
E09979.mat 16x1+24 1000.0(0)/mV 16 0 -19 -28577 0 I
E09979.mat 16x1+24 1000.0(0)/mV 16 0 -136 -30412 0 II
E09979.mat 16x1+24 1000.0(0)/mV 16 0 -117 -1166 0 III
E09979.mat 16x1+24 1000.0(0)/mV 16 0 78 29314 0 aVR
E09979.mat 16x1+24 1000.0(0)/mV 16 0 48 -13817 0 aVL
E09979.mat 16x1+24 1000.0(0)/mV 16 0 -126 -15724 0 aVF
E09979.mat 16x1+24 1000.0(0)/mV 16 0 48 -5949 0 V1
E09979.mat 16x1+24 1000.0(0)/mV 16 0 48 25541 0 V2
E09979.mat 16x1+24 1000.0(0)/mV 16 0 -68 -27401 0 V3
E09979.mat 16x1+24 1000.0(0)/mV 16 0 -107 -29398 0 V4
E09979.mat 16x1+24 1000.0(0)/mV 16 0 -97 -21390 0 V5
E09979.mat 16x1+24 1000.0(0)/mV 16 0 -107 -23415 0 V6
# Age: 50
# Sex: Female
# Dx: 426783006
# Rx: Unknown
# Hx: Unknown