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

File: <base>/training/georgia/g6/E05432.hea (747 bytes)
E05432 12 500 5000
E05432.mat 16x1+24 1000.0(0)/mV 16 0 9 -24406 0 I
E05432.mat 16x1+24 1000.0(0)/mV 16 0 126 -32752 0 II
E05432.mat 16x1+24 1000.0(0)/mV 16 0 117 -8089 0 III
E05432.mat 16x1+24 1000.0(0)/mV 16 0 -68 28645 0 aVR
E05432.mat 16x1+24 1000.0(0)/mV 16 0 -53 -8135 0 aVL
E05432.mat 16x1+24 1000.0(0)/mV 16 0 122 -20408 0 aVF
E05432.mat 16x1+24 1000.0(0)/mV 16 0 -58 -32238 0 V1
E05432.mat 16x1+24 1000.0(0)/mV 16 0 -156 -26308 0 V2
E05432.mat 16x1+24 1000.0(0)/mV 16 0 -58 30420 0 V3
E05432.mat 16x1+24 1000.0(0)/mV 16 0 -29 24049 0 V4
E05432.mat 16x1+24 1000.0(0)/mV 16 0 -126 17697 0 V5
E05432.mat 16x1+24 1000.0(0)/mV 16 0 0 23440 0 V6
# Age: 88
# Sex: Female
# Dx: 445211001,164889003,425419005,164934002
# Rx: Unknown
# Hx: Unknown