Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(669 bytes)
A6416 12 500 5000
A6416.mat 16x1+24 1000.0(0)/mV 16 0 -31 23 0 I
A6416.mat 16x1+24 1000.0(0)/mV 16 0 -6 36 0 II
A6416.mat 16x1+24 1000.0(0)/mV 16 0 25 -3 0 III
A6416.mat 16x1+24 1000.0(0)/mV 16 0 19 1 0 aVR
A6416.mat 16x1+24 1000.0(0)/mV 16 0 -29 -16 0 aVL
A6416.mat 16x1+24 1000.0(0)/mV 16 0 10 4 0 aVF
A6416.mat 16x1+24 1000.0(0)/mV 16 0 21 0 0 V1
A6416.mat 16x1+24 1000.0(0)/mV 16 0 -8 33 0 V2
A6416.mat 16x1+24 1000.0(0)/mV 16 0 -24 1 0 V3
A6416.mat 16x1+24 1000.0(0)/mV 16 0 -100 23 0 V4
A6416.mat 16x1+24 1000.0(0)/mV 16 0 -67 15 0 V5
A6416.mat 16x1+24 1000.0(0)/mV 16 0 -78 52 0 V6
# Age: 87
# Sex: Male
# Dx: 164889003
# Rx: Unknown
# Hx: Unknown
# Sx: Unknown