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

File: <base>/training/georgia/g1/E00928.hea (722 bytes) 
E00928 12 500 5000
E00928.mat 16x1+24 1000.0(0)/mV 16 0 -29 1904 0 I
E00928.mat 16x1+24 1000.0(0)/mV 16 0 -136 -29246 0 II
E00928.mat 16x1+24 1000.0(0)/mV 16 0 -107 -30367 0 III
E00928.mat 16x1+24 1000.0(0)/mV 16 0 82 -19189 0 aVR
E00928.mat 16x1+24 1000.0(0)/mV 16 0 39 -17293 0 aVL
E00928.mat 16x1+24 1000.0(0)/mV 16 0 -122 -29829 0 aVF
E00928.mat 16x1+24 1000.0(0)/mV 16 0 29 27398 0 V1
E00928.mat 16x1+24 1000.0(0)/mV 16 0 -29 -21838 0 V2
E00928.mat 16x1+24 1000.0(0)/mV 16 0 -117 19025 0 V3
E00928.mat 16x1+24 1000.0(0)/mV 16 0 -136 30205 0 V4
E00928.mat 16x1+24 1000.0(0)/mV 16 0 -107 -21536 0 V5
E00928.mat 16x1+24 1000.0(0)/mV 16 0 -68 -19576 0 V6
# Age: 65
# Sex: Male
# Dx: 428417006
# Rx: Unknown
# Hx: Unknown