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

File: <base>/training/georgia/g1/E00869.hea (702 bytes) 
E00869 12 500 5000
E00869.mat 16x1+24 1000.0(0)/mV 16 0 -9 5630 0 I
E00869.mat 16x1+24 1000.0(0)/mV 16 0 -29 2408 0 II
E00869.mat 16x1+24 1000.0(0)/mV 16 0 -19 -2916 0 III
E00869.mat 16x1+24 1000.0(0)/mV 16 0 19 -3915 0 aVR
E00869.mat 16x1+24 1000.0(0)/mV 16 0 4 4187 0 aVL
E00869.mat 16x1+24 1000.0(0)/mV 16 0 -24 -189 0 aVF
E00869.mat 16x1+24 1000.0(0)/mV 16 0 68 31561 0 V1
E00869.mat 16x1+24 1000.0(0)/mV 16 0 87 -20625 0 V2
E00869.mat 16x1+24 1000.0(0)/mV 16 0 48 -16188 0 V3
E00869.mat 16x1+24 1000.0(0)/mV 16 0 19 -20607 0 V4
E00869.mat 16x1+24 1000.0(0)/mV 16 0 0 -21579 0 V5
E00869.mat 16x1+24 1000.0(0)/mV 16 0 -19 21447 0 V6
# Age: 44
# Sex: Male
# Dx: 426783006
# Rx: Unknown
# Hx: Unknown