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

File: <base>/training/georgia/g10/E09736.hea (733 bytes) 
E09736 12 500 5000
E09736.mat 16x1+24 1000.0(0)/mV 16 0 -204 -20895 0 I
E09736.mat 16x1+24 1000.0(0)/mV 16 0 -195 17276 0 II
E09736.mat 16x1+24 1000.0(0)/mV 16 0 9 -27083 0 III
E09736.mat 16x1+24 1000.0(0)/mV 16 0 200 1757 0 aVR
E09736.mat 16x1+24 1000.0(0)/mV 16 0 -107 -29468 0 aVL
E09736.mat 16x1+24 1000.0(0)/mV 16 0 -92 27797 0 aVF
E09736.mat 16x1+24 1000.0(0)/mV 16 0 29 21074 0 V1
E09736.mat 16x1+24 1000.0(0)/mV 16 0 -107 -2600 0 V2
E09736.mat 16x1+24 1000.0(0)/mV 16 0 9 11008 0 V3
E09736.mat 16x1+24 1000.0(0)/mV 16 0 -78 23281 0 V4
E09736.mat 16x1+24 1000.0(0)/mV 16 0 -48 15133 0 V5
E09736.mat 16x1+24 1000.0(0)/mV 16 0 -29 23869 0 V6
# Age: 49
# Sex: Male
# Dx: 111975006,164930006,164873001
# Rx: Unknown
# Hx: Unknown