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

File: <base>/training/georgia/g9/E08053.hea (731 bytes) 
E08053 12 500 5000
E08053.mat 16x1+24 1000.0(0)/mV 16 0 -39 -9058 0 I
E08053.mat 16x1+24 1000.0(0)/mV 16 0 0 540 0 II
E08053.mat 16x1+24 1000.0(0)/mV 16 0 39 9476 0 III
E08053.mat 16x1+24 1000.0(0)/mV 16 0 19 4328 0 aVR
E08053.mat 16x1+24 1000.0(0)/mV 16 0 -39 -9126 0 aVL
E08053.mat 16x1+24 1000.0(0)/mV 16 0 19 4999 0 aVF
E08053.mat 16x1+24 1000.0(0)/mV 16 0 107 -4008 0 V1
E08053.mat 16x1+24 1000.0(0)/mV 16 0 29 -20988 0 V2
E08053.mat 16x1+24 1000.0(0)/mV 16 0 58 6065 0 V3
E08053.mat 16x1+24 1000.0(0)/mV 16 0 58 -11815 0 V4
E08053.mat 16x1+24 1000.0(0)/mV 16 0 -39 -2625 0 V5
E08053.mat 16x1+24 1000.0(0)/mV 16 0 87 14342 0 V6
# Age: 81
# Sex: Female
# Dx: 428750005,164934002,284470004,284470004
# Rx: Unknown
# Hx: Unknown