Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(770 bytes)
I0004 12 257 462600
I0004.mat 16x1+24 1000.0(0)/mv 16 0 3324 -8074 0 I
I0004.mat 16x1+24 1000.0(0)/mv 16 0 10300 -2096 0 II
I0004.mat 16x1+24 1000.0(0)/mv 16 0 10599 -5983 0 III
I0004.mat 16x1+24 1000.0(0)/mv 16 0 -4975 6337 0 aVR
I0004.mat 16x1+24 1000.0(0)/mv 16 0 -4870 -30508 0 aVL
I0004.mat 16x1+24 1000.0(0)/mv 16 0 10496 -25734 0 aVF
I0004.mat 16x1+24 1000.0(0)/mv 16 0 6144 -13938 0 V1
I0004.mat 16x1+24 1000.0(0)/mv 16 0 2798 29054 0 V2
I0004.mat 16x1+24 1000.0(0)/mv 16 0 6996 7364 0 V3
I0004.mat 16x1+24 1000.0(0)/mv 16 0 7239 -7472 0 V4
I0004.mat 16x1+24 1000.0(0)/mv 16 0 2056 -25603 0 V5
I0004.mat 16x1+24 1000.0(0)/mv 16 0 -1181 27602 0 V6
# Age: 59
# Sex: M
# Dx: 74615001,164884008,251182009,425856008,57054005
# Rx: Unknown
# Hx: Unknown
# Sx: Unknown