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

File: <base>/training/georgia/g1/E00602.hea (726 bytes) 
E00602 12 500 5000
E00602.mat 16x1+24 1000.0(0)/mV 16 0 -156 -20623 0 I
E00602.mat 16x1+24 1000.0(0)/mV 16 0 -19 -17907 0 II
E00602.mat 16x1+24 1000.0(0)/mV 16 0 136 2312 0 III
E00602.mat 16x1+24 1000.0(0)/mV 16 0 87 18471 0 aVR
E00602.mat 16x1+24 1000.0(0)/mV 16 0 -146 -11596 0 aVL
E00602.mat 16x1+24 1000.0(0)/mV 16 0 58 -7830 0 aVF
E00602.mat 16x1+24 1000.0(0)/mV 16 0 214 11512 0 V1
E00602.mat 16x1+24 1000.0(0)/mV 16 0 507 -14883 0 V2
E00602.mat 16x1+24 1000.0(0)/mV 16 0 663 5138 0 V3
E00602.mat 16x1+24 1000.0(0)/mV 16 0 517 30073 0 V4
E00602.mat 16x1+24 1000.0(0)/mV 16 0 283 -28426 0 V5
E00602.mat 16x1+24 1000.0(0)/mV 16 0 185 7884 0 V6
# Age: 64
# Sex: Female
# Dx: 698252002,164889003
# Rx: Unknown
# Hx: Unknown