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

File: <base>/training/georgia/g10/E09210.hea (719 bytes) 
E09210 12 500 5000
E09210.mat 16x1+24 1000.0(0)/mV 16 0 -107 7958 0 I
E09210.mat 16x1+24 1000.0(0)/mV 16 0 -78 21343 0 II
E09210.mat 16x1+24 1000.0(0)/mV 16 0 29 14250 0 III
E09210.mat 16x1+24 1000.0(0)/mV 16 0 92 18116 0 aVR
E09210.mat 16x1+24 1000.0(0)/mV 16 0 -68 -3133 0 aVL
E09210.mat 16x1+24 1000.0(0)/mV 16 0 -24 -14791 0 aVF
E09210.mat 16x1+24 1000.0(0)/mV 16 0 97 11451 0 V1
E09210.mat 16x1+24 1000.0(0)/mV 16 0 87 -9801 0 V2
E09210.mat 16x1+24 1000.0(0)/mV 16 0 -39 -20609 0 V3
E09210.mat 16x1+24 1000.0(0)/mV 16 0 -48 -10415 0 V4
E09210.mat 16x1+24 1000.0(0)/mV 16 0 -107 14898 0 V5
E09210.mat 16x1+24 1000.0(0)/mV 16 0 -39 12820 0 V6
# Age: 51
# Sex: Female
# Dx: 67741000119109
# Rx: Unknown
# Hx: Unknown