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

File: <base>/training/georgia/g10/E09374.hea (737 bytes)
E09374 12 500 5000
E09374.mat 16x1+24 1000.0(0)/mV 16 0 -224 -12495 0 I
E09374.mat 16x1+24 1000.0(0)/mV 16 0 -97 22477 0 II
E09374.mat 16x1+24 1000.0(0)/mV 16 0 126 -30946 0 III
E09374.mat 16x1+24 1000.0(0)/mV 16 0 161 27893 0 aVR
E09374.mat 16x1+24 1000.0(0)/mV 16 0 -175 -23621 0 aVL
E09374.mat 16x1+24 1000.0(0)/mV 16 0 14 -4401 0 aVF
E09374.mat 16x1+24 1000.0(0)/mV 16 0 9 -10263 0 V1
E09374.mat 16x1+24 1000.0(0)/mV 16 0 0 5368 0 V2
E09374.mat 16x1+24 1000.0(0)/mV 16 0 29 -17071 0 V3
E09374.mat 16x1+24 1000.0(0)/mV 16 0 -117 -29545 0 V4
E09374.mat 16x1+24 1000.0(0)/mV 16 0 -78 -29104 0 V5
E09374.mat 16x1+24 1000.0(0)/mV 16 0 -78 24338 0 V6
# Age: 46
# Sex: Female
# Dx: 425419005,426434006,164934002
# Rx: Unknown
# Hx: Unknown