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

File: <base>/training/georgia/g10/E09739.hea (728 bytes) 
E09739 12 500 5000
E09739.mat 16x1+24 1000.0(0)/mV 16 0 146 -27197 0 I
E09739.mat 16x1+24 1000.0(0)/mV 16 0 -48 2306 0 II
E09739.mat 16x1+24 1000.0(0)/mV 16 0 -195 29390 0 III
E09739.mat 16x1+24 1000.0(0)/mV 16 0 -48 -20640 0 aVR
E09739.mat 16x1+24 1000.0(0)/mV 16 0 170 -28066 0 aVL
E09739.mat 16x1+24 1000.0(0)/mV 16 0 -122 -17068 0 aVF
E09739.mat 16x1+24 1000.0(0)/mV 16 0 -126 -2467 0 V1
E09739.mat 16x1+24 1000.0(0)/mV 16 0 -165 425 0 V2
E09739.mat 16x1+24 1000.0(0)/mV 16 0 -224 2246 0 V3
E09739.mat 16x1+24 1000.0(0)/mV 16 0 -136 30776 0 V4
E09739.mat 16x1+24 1000.0(0)/mV 16 0 -9 6229 0 V5
E09739.mat 16x1+24 1000.0(0)/mV 16 0 126 -7171 0 V6
# Age: 75
# Sex: Female
# Dx: 425623009,164934002
# Rx: Unknown
# Hx: Unknown