Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(703 bytes)
A4882 12 500 5000
A4882.mat 16x1+24 1000.0(0)/mV 16 0 -35 -2203 0 I
A4882.mat 16x1+24 1000.0(0)/mV 16 0 -80 504 0 II
A4882.mat 16x1+24 1000.0(0)/mV 16 0 -46 -2293 0 III
A4882.mat 16x1+24 1000.0(0)/mV 16 0 57 -2088 0 aVR
A4882.mat 16x1+24 1000.0(0)/mV 16 0 5 -1559 0 aVL
A4882.mat 16x1+24 1000.0(0)/mV 16 0 -63 -437 0 aVF
A4882.mat 16x1+24 1000.0(0)/mV 16 0 71 -254 0 V1
A4882.mat 16x1+24 1000.0(0)/mV 16 0 -29 1411 0 V2
A4882.mat 16x1+24 1000.0(0)/mV 16 0 11 -1156 0 V3
A4882.mat 16x1+24 1000.0(0)/mV 16 0 -34 -106 0 V4
A4882.mat 16x1+24 1000.0(0)/mV 16 0 360 -1541 0 V5
A4882.mat 16x1+24 1000.0(0)/mV 16 0 -214 -2466 0 V6
# Age: 40
# Sex: Male
# Dx: 426783006
# Rx: Unknown
# Hx: Unknown
# Sx: Unknown