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

File: <base>/training/georgia/g11/E10327.hea (719 bytes) 
E10327 12 500 5000
E10327.mat 16x1+24 1000.0(0)/mV 16 0 -29 32365 0 I
E10327.mat 16x1+24 1000.0(0)/mV 16 0 -9 -10550 0 II
E10327.mat 16x1+24 1000.0(0)/mV 16 0 19 23264 0 III
E10327.mat 16x1+24 1000.0(0)/mV 16 0 19 21332 0 aVR
E10327.mat 16x1+24 1000.0(0)/mV 16 0 -24 -28078 0 aVL
E10327.mat 16x1+24 1000.0(0)/mV 16 0 4 6157 0 aVF
E10327.mat 16x1+24 1000.0(0)/mV 16 0 87 -28382 0 V1
E10327.mat 16x1+24 1000.0(0)/mV 16 0 -29 15351 0 V2
E10327.mat 16x1+24 1000.0(0)/mV 16 0 -29 -30816 0 V3
E10327.mat 16x1+24 1000.0(0)/mV 16 0 -19 14110 0 V4
E10327.mat 16x1+24 1000.0(0)/mV 16 0 -19 -21508 0 V5
E10327.mat 16x1+24 1000.0(0)/mV 16 0 -9 -13969 0 V6
# Age: 69
# Sex: Male
# Dx: 39732003,426177001
# Rx: Unknown
# Hx: Unknown