Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(667 bytes)
A6422 12 500 5000
A6422.mat 16x1+24 1000.0(0)/mV 16 0 -8 4 0 I
A6422.mat 16x1+24 1000.0(0)/mV 16 0 -1 0 0 II
A6422.mat 16x1+24 1000.0(0)/mV 16 0 7 5 0 III
A6422.mat 16x1+24 1000.0(0)/mV 16 0 4 21 0 aVR
A6422.mat 16x1+24 1000.0(0)/mV 16 0 -7 13 0 aVL
A6422.mat 16x1+24 1000.0(0)/mV 16 0 3 -11 0 aVF
A6422.mat 16x1+24 1000.0(0)/mV 16 0 56 -28 0 V1
A6422.mat 16x1+24 1000.0(0)/mV 16 0 29 44 0 V2
A6422.mat 16x1+24 1000.0(0)/mV 16 0 16 24 0 V3
A6422.mat 16x1+24 1000.0(0)/mV 16 0 -30 -34 0 V4
A6422.mat 16x1+24 1000.0(0)/mV 16 0 -345 -36 0 V5
A6422.mat 16x1+24 1000.0(0)/mV 16 0 76 -15 0 V6
# Age: 68
# Sex: Male
# Dx: 164889003
# Rx: Unknown
# Hx: Unknown
# Sx: Unknown