Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(676 bytes)
A4539 12 500 5000
A4539.mat 16x1+24 1000.0(0)/mV 16 0 43 -31 0 I
A4539.mat 16x1+24 1000.0(0)/mV 16 0 -199 -23 0 II
A4539.mat 16x1+24 1000.0(0)/mV 16 0 -243 -2 0 III
A4539.mat 16x1+24 1000.0(0)/mV 16 0 78 -9 0 aVR
A4539.mat 16x1+24 1000.0(0)/mV 16 0 144 3 0 aVL
A4539.mat 16x1+24 1000.0(0)/mV 16 0 -221 -4 0 aVF
A4539.mat 16x1+24 1000.0(0)/mV 16 0 31 -7 0 V1
A4539.mat 16x1+24 1000.0(0)/mV 16 0 318 40 0 V2
A4539.mat 16x1+24 1000.0(0)/mV 16 0 608 77 0 V3
A4539.mat 16x1+24 1000.0(0)/mV 16 0 274 59 0 V4
A4539.mat 16x1+24 1000.0(0)/mV 16 0 54 27 0 V5
A4539.mat 16x1+24 1000.0(0)/mV 16 0 -108 8 0 V6
# Age: 77
# Sex: Male
# Dx: 59118001
# Rx: Unknown
# Hx: Unknown
# Sx: Unknown