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

File: <base>/training/georgia/g9/E08856.hea (713 bytes) 
E08856 12 500 5000
E08856.mat 16x1+24 1000.0(0)/mV 16 0 19 -7823 0 I
E08856.mat 16x1+24 1000.0(0)/mV 16 0 -39 4293 0 II
E08856.mat 16x1+24 1000.0(0)/mV 16 0 -58 11954 0 III
E08856.mat 16x1+24 1000.0(0)/mV 16 0 9 1587 0 aVR
E08856.mat 16x1+24 1000.0(0)/mV 16 0 39 -9930 0 aVL
E08856.mat 16x1+24 1000.0(0)/mV 16 0 -48 8348 0 aVF
E08856.mat 16x1+24 1000.0(0)/mV 16 0 58 -24196 0 V1
E08856.mat 16x1+24 1000.0(0)/mV 16 0 58 -14881 0 V2
E08856.mat 16x1+24 1000.0(0)/mV 16 0 29 29305 0 V3
E08856.mat 16x1+24 1000.0(0)/mV 16 0 0 -25159 0 V4
E08856.mat 16x1+24 1000.0(0)/mV 16 0 19 20908 0 V5
E08856.mat 16x1+24 1000.0(0)/mV 16 0 0 -22087 0 V6
# Age: 59
# Sex: Female
# Dx: 428750005,426177001
# Rx: Unknown
# Hx: Unknown