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

File: <base>/training/georgia/g10/E09866.hea (743 bytes) 
E09866 12 500 5000
E09866.mat 16x1+24 1000.0(0)/mV 16 0 -146 16008 0 I
E09866.mat 16x1+24 1000.0(0)/mV 16 0 -107 -1542 0 II
E09866.mat 16x1+24 1000.0(0)/mV 16 0 39 -17685 0 III
E09866.mat 16x1+24 1000.0(0)/mV 16 0 126 -7293 0 aVR
E09866.mat 16x1+24 1000.0(0)/mV 16 0 -92 16845 0 aVL
E09866.mat 16x1+24 1000.0(0)/mV 16 0 -34 -9553 0 aVF
E09866.mat 16x1+24 1000.0(0)/mV 16 0 971 21121 0 V1
E09866.mat 16x1+24 1000.0(0)/mV 16 0 1249 19630 0 V2
E09866.mat 16x1+24 1000.0(0)/mV 16 0 624 19504 0 V3
E09866.mat 16x1+24 1000.0(0)/mV 16 0 -24 24743 0 V4
E09866.mat 16x1+24 1000.0(0)/mV 16 0 -214 16310 0 V5
E09866.mat 16x1+24 1000.0(0)/mV 16 0 -78 9706 0 V6
# Age: 64
# Sex: Male
# Dx: 164909002,253352002,6374002,427084000
# Rx: Unknown
# Hx: Unknown