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

File: <base>/training/georgia/g1/E00406.hea (723 bytes) 
E00406 12 500 5000
E00406.mat 16x1+24 1000.0(0)/mV 16 0 -58 16467 0 I
E00406.mat 16x1+24 1000.0(0)/mV 16 0 -48 -29800 0 II
E00406.mat 16x1+24 1000.0(0)/mV 16 0 9 19858 0 III
E00406.mat 16x1+24 1000.0(0)/mV 16 0 53 6568 0 aVR
E00406.mat 16x1+24 1000.0(0)/mV 16 0 -34 -871 0 aVL
E00406.mat 16x1+24 1000.0(0)/mV 16 0 -19 -4765 0 aVF
E00406.mat 16x1+24 1000.0(0)/mV 16 0 -19 -22740 0 V1
E00406.mat 16x1+24 1000.0(0)/mV 16 0 -58 -25599 0 V2
E00406.mat 16x1+24 1000.0(0)/mV 16 0 -68 -26452 0 V3
E00406.mat 16x1+24 1000.0(0)/mV 16 0 -58 21682 0 V4
E00406.mat 16x1+24 1000.0(0)/mV 16 0 -29 -29467 0 V5
E00406.mat 16x1+24 1000.0(0)/mV 16 0 -29 -12825 0 V6
# Age: 68
# Sex: Male
# Dx: 428417006,426177001
# Rx: Unknown
# Hx: Unknown