Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(675 bytes)
A3562 12 500 7000
A3562.mat 16x1+24 1000.0(0)/mV 16 0 125 -48 0 I
A3562.mat 16x1+24 1000.0(0)/mV 16 0 118 26 0 II
A3562.mat 16x1+24 1000.0(0)/mV 16 0 -7 40 0 III
A3562.mat 16x1+24 1000.0(0)/mV 16 0 -121 -26 0 aVR
A3562.mat 16x1+24 1000.0(0)/mV 16 0 66 10 0 aVL
A3562.mat 16x1+24 1000.0(0)/mV 16 0 55 6 0 aVF
A3562.mat 16x1+24 1000.0(0)/mV 16 0 -78 -4 0 V1
A3562.mat 16x1+24 1000.0(0)/mV 16 0 -58 -40 0 V2
A3562.mat 16x1+24 1000.0(0)/mV 16 0 58 29 0 V3
A3562.mat 16x1+24 1000.0(0)/mV 16 0 181 23 0 V4
A3562.mat 16x1+24 1000.0(0)/mV 16 0 202 67 0 V5
A3562.mat 16x1+24 1000.0(0)/mV 16 0 99 54 0 V6
# Age: 54
# Sex: Male
# Dx: 164931005
# Rx: Unknown
# Hx: Unknown
# Sx: Unknown