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

File: <base>/training/georgia/g10/E09214.hea (765 bytes)
E09214 12 500 5000
E09214.mat 16x1+24 1000.0(0)/mV 16 0 -68 17056 0 I
E09214.mat 16x1+24 1000.0(0)/mV 16 0 -351 12648 0 II
E09214.mat 16x1+24 1000.0(0)/mV 16 0 -283 -5100 0 III
E09214.mat 16x1+24 1000.0(0)/mV 16 0 209 -14874 0 aVR
E09214.mat 16x1+24 1000.0(0)/mV 16 0 107 -21460 0 aVL
E09214.mat 16x1+24 1000.0(0)/mV 16 0 -317 -28778 0 aVF
E09214.mat 16x1+24 1000.0(0)/mV 16 0 156 -8297 0 V1
E09214.mat 16x1+24 1000.0(0)/mV 16 0 214 -11382 0 V2
E09214.mat 16x1+24 1000.0(0)/mV 16 0 185 -9678 0 V3
E09214.mat 16x1+24 1000.0(0)/mV 16 0 87 -11363 0 V4
E09214.mat 16x1+24 1000.0(0)/mV 16 0 -39 -27725 0 V5
E09214.mat 16x1+24 1000.0(0)/mV 16 0 -126 30474 0 V6
# Age: 58
# Sex: Male
# Dx: 164873001,266249003,67741000119109,270492004,59931005
# Rx: Unknown
# Hx: Unknown