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

File: <base>/training/georgia/g9/E08508.hea (727 bytes) 
E08508 12 500 5000
E08508.mat 16x1+24 1000.0(0)/mV 16 0 0 -12949 0 I
E08508.mat 16x1+24 1000.0(0)/mV 16 0 -195 -7083 0 II
E08508.mat 16x1+24 1000.0(0)/mV 16 0 -195 6339 0 III
E08508.mat 16x1+24 1000.0(0)/mV 16 0 97 9992 0 aVR
E08508.mat 16x1+24 1000.0(0)/mV 16 0 97 -9206 0 aVL
E08508.mat 16x1+24 1000.0(0)/mV 16 0 -195 -109 0 aVF
E08508.mat 16x1+24 1000.0(0)/mV 16 0 -527 5469 0 V1
E08508.mat 16x1+24 1000.0(0)/mV 16 0 -712 20384 0 V2
E08508.mat 16x1+24 1000.0(0)/mV 16 0 -1005 9381 0 V3
E08508.mat 16x1+24 1000.0(0)/mV 16 0 -741 -22868 0 V4
E08508.mat 16x1+24 1000.0(0)/mV 16 0 -419 -25178 0 V5
E08508.mat 16x1+24 1000.0(0)/mV 16 0 -273 -29489 0 V6
# Age: 78
# Sex: Male
# Dx: 164890007,251146004
# Rx: Unknown
# Hx: Unknown