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

File: <base>/training/georgia/g9/E08612.hea (760 bytes) 
E08612 12 500 5000
E08612.mat 16x1+24 1000.0(0)/mV 16 0 -253 12583 0 I
E08612.mat 16x1+24 1000.0(0)/mV 16 0 39 -12361 0 II
E08612.mat 16x1+24 1000.0(0)/mV 16 0 292 -25149 0 III
E08612.mat 16x1+24 1000.0(0)/mV 16 0 107 32508 0 aVR
E08612.mat 16x1+24 1000.0(0)/mV 16 0 -273 -13827 0 aVL
E08612.mat 16x1+24 1000.0(0)/mV 16 0 165 -18890 0 aVF
E08612.mat 16x1+24 1000.0(0)/mV 16 0 39 -30130 0 V1
E08612.mat 16x1+24 1000.0(0)/mV 16 0 -292 -19975 0 V2
E08612.mat 16x1+24 1000.0(0)/mV 16 0 -273 -29423 0 V3
E08612.mat 16x1+24 1000.0(0)/mV 16 0 -263 -1045 0 V4
E08612.mat 16x1+24 1000.0(0)/mV 16 0 -195 539 0 V5
E08612.mat 16x1+24 1000.0(0)/mV 16 0 -87 32298 0 V6
# Age: 66
# Sex: Male
# Dx: 17338001,428750005,164873001,284470004,284470004
# Rx: Unknown
# Hx: Unknown