Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(690 bytes)
A4383 12 500 5000
A4383.mat 16x1+24 1000.0(0)/mV 16 0 16 -112 0 I
A4383.mat 16x1+24 1000.0(0)/mV 16 0 63 -211 0 II
A4383.mat 16x1+24 1000.0(0)/mV 16 0 47 -58 0 III
A4383.mat 16x1+24 1000.0(0)/mV 16 0 -40 169 0 aVR
A4383.mat 16x1+24 1000.0(0)/mV 16 0 -15 12 0 aVL
A4383.mat 16x1+24 1000.0(0)/mV 16 0 56 -128 0 aVF
A4383.mat 16x1+24 1000.0(0)/mV 16 0 35 146 0 V1
A4383.mat 16x1+24 1000.0(0)/mV 16 0 102 -160 0 V2
A4383.mat 16x1+24 1000.0(0)/mV 16 0 96 -319 0 V3
A4383.mat 16x1+24 1000.0(0)/mV 16 0 116 -344 0 V4
A4383.mat 16x1+24 1000.0(0)/mV 16 0 102 -334 0 V5
A4383.mat 16x1+24 1000.0(0)/mV 16 0 140 -270 0 V6
# Age: 63
# Sex: Male
# Dx: 284470004
# Rx: Unknown
# Hx: Unknown
# Sx: Unknown