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

File: <base>/training/georgia/g10/E09177.hea (720 bytes) 
E09177 12 500 5000
E09177.mat 16x1+24 1000.0(0)/mV 16 0 458 -14187 0 I
E09177.mat 16x1+24 1000.0(0)/mV 16 0 312 3917 0 II
E09177.mat 16x1+24 1000.0(0)/mV 16 0 -146 17596 0 III
E09177.mat 16x1+24 1000.0(0)/mV 16 0 -385 5076 0 aVR
E09177.mat 16x1+24 1000.0(0)/mV 16 0 302 -15710 0 aVL
E09177.mat 16x1+24 1000.0(0)/mV 16 0 82 11347 0 aVF
E09177.mat 16x1+24 1000.0(0)/mV 16 0 -195 12261 0 V1
E09177.mat 16x1+24 1000.0(0)/mV 16 0 87 -10062 0 V2
E09177.mat 16x1+24 1000.0(0)/mV 16 0 448 -23829 0 V3
E09177.mat 16x1+24 1000.0(0)/mV 16 0 595 -28106 0 V4
E09177.mat 16x1+24 1000.0(0)/mV 16 0 458 -29311 0 V5
E09177.mat 16x1+24 1000.0(0)/mV 16 0 400 -23404 0 V6
# Age: 49
# Sex: Female
# Dx: 426177001
# Rx: Unknown
# Hx: Unknown