Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(671 bytes)
A6372 12 500 5000
A6372.mat 16x1+24 1000.0(0)/mV 16 0 -41 -29 0 I
A6372.mat 16x1+24 1000.0(0)/mV 16 0 -3 -14 0 II
A6372.mat 16x1+24 1000.0(0)/mV 16 0 38 9 0 III
A6372.mat 16x1+24 1000.0(0)/mV 16 0 21 3 0 aVR
A6372.mat 16x1+24 1000.0(0)/mV 16 0 -40 1 0 aVL
A6372.mat 16x1+24 1000.0(0)/mV 16 0 18 -6 0 aVF
A6372.mat 16x1+24 1000.0(0)/mV 16 0 344 6 0 V1
A6372.mat 16x1+24 1000.0(0)/mV 16 0 195 8 0 V2
A6372.mat 16x1+24 1000.0(0)/mV 16 0 65 -5 0 V3
A6372.mat 16x1+24 1000.0(0)/mV 16 0 -221 20 0 V4
A6372.mat 16x1+24 1000.0(0)/mV 16 0 -280 -42 0 V5
A6372.mat 16x1+24 1000.0(0)/mV 16 0 -168 9 0 V6
# Age: 75
# Sex: Male
# Dx: 59118001
# Rx: Unknown
# Hx: Unknown
# Sx: Unknown