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

File: <base>/training/georgia/g10/E09936.hea (760 bytes) 
E09936 12 500 5000
E09936.mat 16x1+24 1000.0(0)/mV 16 0 9 -28368 0 I
E09936.mat 16x1+24 1000.0(0)/mV 16 0 -136 18255 0 II
E09936.mat 16x1+24 1000.0(0)/mV 16 0 -146 -18462 0 III
E09936.mat 16x1+24 1000.0(0)/mV 16 0 63 -27531 0 aVR
E09936.mat 16x1+24 1000.0(0)/mV 16 0 78 -4465 0 aVL
E09936.mat 16x1+24 1000.0(0)/mV 16 0 -141 -32650 0 aVF
E09936.mat 16x1+24 1000.0(0)/mV 16 0 29 4393 0 V1
E09936.mat 16x1+24 1000.0(0)/mV 16 0 -39 -31893 0 V2
E09936.mat 16x1+24 1000.0(0)/mV 16 0 -48 21556 0 V3
E09936.mat 16x1+24 1000.0(0)/mV 16 0 -165 -3576 0 V4
E09936.mat 16x1+24 1000.0(0)/mV 16 0 -107 -17612 0 V5
E09936.mat 16x1+24 1000.0(0)/mV 16 0 -9 16206 0 V6
# Age: 66
# Sex: Female
# Dx: 164909002,67741000119109,6374002,270492004,59931005
# Rx: Unknown
# Hx: Unknown