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

File: <base>/training/georgia/g10/E09718.hea (723 bytes) 
E09718 12 500 5000
E09718.mat 16x1+24 1000.0(0)/mV 16 0 97 31716 0 I
E09718.mat 16x1+24 1000.0(0)/mV 16 0 -156 -17478 0 II
E09718.mat 16x1+24 1000.0(0)/mV 16 0 -253 16099 0 III
E09718.mat 16x1+24 1000.0(0)/mV 16 0 29 25162 0 aVR
E09718.mat 16x1+24 1000.0(0)/mV 16 0 175 -25061 0 aVL
E09718.mat 16x1+24 1000.0(0)/mV 16 0 -204 -856 0 aVF
E09718.mat 16x1+24 1000.0(0)/mV 16 0 117 26638 0 V1
E09718.mat 16x1+24 1000.0(0)/mV 16 0 468 16607 0 V2
E09718.mat 16x1+24 1000.0(0)/mV 16 0 341 17105 0 V3
E09718.mat 16x1+24 1000.0(0)/mV 16 0 195 15609 0 V4
E09718.mat 16x1+24 1000.0(0)/mV 16 0 29 16097 0 V5
E09718.mat 16x1+24 1000.0(0)/mV 16 0 -87 15503 0 V6
# Age: 59
# Sex: Male
# Dx: 425419005,164934002
# Rx: Unknown
# Hx: Unknown