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

File: <base>/training/georgia/g9/E08532.hea (733 bytes) 
E08532 12 500 5000
E08532.mat 16x1+24 1000.0(0)/mV 16 0 -39 32410 0 I
E08532.mat 16x1+24 1000.0(0)/mV 16 0 0 -28281 0 II
E08532.mat 16x1+24 1000.0(0)/mV 16 0 39 4781 0 III
E08532.mat 16x1+24 1000.0(0)/mV 16 0 19 -2025 0 aVR
E08532.mat 16x1+24 1000.0(0)/mV 16 0 -39 13891 0 aVL
E08532.mat 16x1+24 1000.0(0)/mV 16 0 19 -11671 0 aVF
E08532.mat 16x1+24 1000.0(0)/mV 16 0 0 4417 0 V1
E08532.mat 16x1+24 1000.0(0)/mV 16 0 0 3388 0 V2
E08532.mat 16x1+24 1000.0(0)/mV 16 0 -39 10760 0 V3
E08532.mat 16x1+24 1000.0(0)/mV 16 0 9 18738 0 V4
E08532.mat 16x1+24 1000.0(0)/mV 16 0 39 11398 0 V5
E08532.mat 16x1+24 1000.0(0)/mV 16 0 -9 2200 0 V6
# Age: 64
# Sex: Female
# Dx: 428750005,67741000119109,164934002,59931005
# Rx: Unknown
# Hx: Unknown