Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(681 bytes)
A4991 12 500 5000
A4991.mat 16x1+24 1000.0(0)/mV 16 0 58 -10 0 I
A4991.mat 16x1+24 1000.0(0)/mV 16 0 84 -27 0 II
A4991.mat 16x1+24 1000.0(0)/mV 16 0 26 37 0 III
A4991.mat 16x1+24 1000.0(0)/mV 16 0 -72 3 0 aVR
A4991.mat 16x1+24 1000.0(0)/mV 16 0 16 -21 0 aVL
A4991.mat 16x1+24 1000.0(0)/mV 16 0 55 0 0 aVF
A4991.mat 16x1+24 1000.0(0)/mV 16 0 59 -54 0 V1
A4991.mat 16x1+24 1000.0(0)/mV 16 0 68 16 0 V2
A4991.mat 16x1+24 1000.0(0)/mV 16 0 321 36 0 V3
A4991.mat 16x1+24 1000.0(0)/mV 16 0 51 -23 0 V4
A4991.mat 16x1+24 1000.0(0)/mV 16 0 32 -8 0 V5
A4991.mat 16x1+24 1000.0(0)/mV 16 0 51 -25 0 V6
# Age: 87
# Sex: Male
# Dx: 164889003,164884008
# Rx: Unknown
# Hx: Unknown
# Sx: Unknown