Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(682 bytes)
A6332 12 500 5000
A6332.mat 16x1+24 1000.0(0)/mV 16 0 -19 27 0 I
A6332.mat 16x1+24 1000.0(0)/mV 16 0 -27 -16 0 II
A6332.mat 16x1+24 1000.0(0)/mV 16 0 -8 23 0 III
A6332.mat 16x1+24 1000.0(0)/mV 16 0 23 -3 0 aVR
A6332.mat 16x1+24 1000.0(0)/mV 16 0 -5 29 0 aVL
A6332.mat 16x1+24 1000.0(0)/mV 16 0 -18 44 0 aVF
A6332.mat 16x1+24 1000.0(0)/mV 16 0 -36 102 0 V1
A6332.mat 16x1+24 1000.0(0)/mV 16 0 -141 242 0 V2
A6332.mat 16x1+24 1000.0(0)/mV 16 0 -142 244 0 V3
A6332.mat 16x1+24 1000.0(0)/mV 16 0 -91 186 0 V4
A6332.mat 16x1+24 1000.0(0)/mV 16 0 -78 110 0 V5
A6332.mat 16x1+24 1000.0(0)/mV 16 0 -70 72 0 V6
# Age: 92
# Sex: Male
# Dx: 270492004
# Rx: Unknown
# Hx: Unknown
# Sx: Unknown