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

File: <base>/training/georgia/g1/E00906.hea (704 bytes)
E00906 12 500 2500
E00906.mat 16x1+24 1000.0(0)/mV 16 0 107 -2312 0 I
E00906.mat 16x1+24 1000.0(0)/mV 16 0 107 8123 0 II
E00906.mat 16x1+24 1000.0(0)/mV 16 0 0 10781 0 III
E00906.mat 16x1+24 1000.0(0)/mV 16 0 -107 -3004 0 aVR
E00906.mat 16x1+24 1000.0(0)/mV 16 0 53 -6713 0 aVL
E00906.mat 16x1+24 1000.0(0)/mV 16 0 53 9489 0 aVF
E00906.mat 16x1+24 1000.0(0)/mV 16 0 497 -3372 0 V1
E00906.mat 16x1+24 1000.0(0)/mV 16 0 634 -24765 0 V2
E00906.mat 16x1+24 1000.0(0)/mV 16 0 341 8976 0 V3
E00906.mat 16x1+24 1000.0(0)/mV 16 0 204 25779 0 V4
E00906.mat 16x1+24 1000.0(0)/mV 16 0 156 2917 0 V5
E00906.mat 16x1+24 1000.0(0)/mV 16 0 58 -545 0 V6
# Age: 22
# Sex: Male
# Dx: 426783006
# Rx: Unknown
# Hx: Unknown