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

File: <base>/training/georgia/g10/E09113.hea (719 bytes) 
E09113 12 500 5000
E09113.mat 16x1+24 1000.0(0)/mV 16 0 -34 25627 0 I
E09113.mat 16x1+24 1000.0(0)/mV 16 0 -34 -16357 0 II
E09113.mat 16x1+24 1000.0(0)/mV 16 0 0 23195 0 III
E09113.mat 16x1+24 1000.0(0)/mV 16 0 34 28110 0 aVR
E09113.mat 16x1+24 1000.0(0)/mV 16 0 -17 1310 0 aVL
E09113.mat 16x1+24 1000.0(0)/mV 16 0 -17 -29073 0 aVF
E09113.mat 16x1+24 1000.0(0)/mV 16 0 -9 22610 0 V1
E09113.mat 16x1+24 1000.0(0)/mV 16 0 9 1341 0 V2
E09113.mat 16x1+24 1000.0(0)/mV 16 0 -73 17167 0 V3
E09113.mat 16x1+24 1000.0(0)/mV 16 0 -82 -27958 0 V4
E09113.mat 16x1+24 1000.0(0)/mV 16 0 -68 -15141 0 V5
E09113.mat 16x1+24 1000.0(0)/mV 16 0 -58 -13285 0 V6
# Age: 50
# Sex: Male
# Dx: 270492004,426177001
# Rx: Unknown
# Hx: Unknown