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

File: <base>/training/georgia/g10/E09230.hea (713 bytes)
E09230 12 500 5000
E09230.mat 16x1+24 1000.0(0)/mV 16 0 -126 -31094 0 I
E09230.mat 16x1+24 1000.0(0)/mV 16 0 -87 17899 0 II
E09230.mat 16x1+24 1000.0(0)/mV 16 0 39 -17933 0 III
E09230.mat 16x1+24 1000.0(0)/mV 16 0 107 6483 0 aVR
E09230.mat 16x1+24 1000.0(0)/mV 16 0 -82 26181 0 aVL
E09230.mat 16x1+24 1000.0(0)/mV 16 0 -24 32383 0 aVF
E09230.mat 16x1+24 1000.0(0)/mV 16 0 -29 28262 0 V1
E09230.mat 16x1+24 1000.0(0)/mV 16 0 -58 6794 0 V2
E09230.mat 16x1+24 1000.0(0)/mV 16 0 175 -20902 0 V3
E09230.mat 16x1+24 1000.0(0)/mV 16 0 -29 18252 0 V4
E09230.mat 16x1+24 1000.0(0)/mV 16 0 -68 21655 0 V5
E09230.mat 16x1+24 1000.0(0)/mV 16 0 -29 32203 0 V6
# Age: 49
# Sex: Male
# Dx: 164873001
# Rx: Unknown
# Hx: Unknown