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

File: <base>/training/georgia/g9/E08823.hea (737 bytes) 
E08823 12 500 5000
E08823.mat 16x1+24 1000.0(0)/mV 16 0 -9 -24651 0 I
E08823.mat 16x1+24 1000.0(0)/mV 16 0 -39 -21556 0 II
E08823.mat 16x1+24 1000.0(0)/mV 16 0 -29 2739 0 III
E08823.mat 16x1+24 1000.0(0)/mV 16 0 24 23085 0 aVR
E08823.mat 16x1+24 1000.0(0)/mV 16 0 9 -13072 0 aVL
E08823.mat 16x1+24 1000.0(0)/mV 16 0 -34 -9040 0 aVF
E08823.mat 16x1+24 1000.0(0)/mV 16 0 -68 -32448 0 V1
E08823.mat 16x1+24 1000.0(0)/mV 16 0 -156 15178 0 V2
E08823.mat 16x1+24 1000.0(0)/mV 16 0 -200 30045 0 V3
E08823.mat 16x1+24 1000.0(0)/mV 16 0 -180 7140 0 V4
E08823.mat 16x1+24 1000.0(0)/mV 16 0 -200 -1135 0 V5
E08823.mat 16x1+24 1000.0(0)/mV 16 0 -14 32579 0 V6
# Age: 60
# Sex: Male
# Dx: 164909002,67741000119109,6374002
# Rx: Unknown
# Hx: Unknown