Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(784 bytes)
HR19864 12 500 5000
HR19864.mat 16x1+24 1000.0(0)/mv 16 0 75 -18948 0 I
HR19864.mat 16x1+24 1000.0(0)/mv 16 0 -105 -12984 0 II
HR19864.mat 16x1+24 1000.0(0)/mv 16 0 -180 5952 0 III
HR19864.mat 16x1+24 1000.0(0)/mv 16 0 15 15234 0 aVR
HR19864.mat 16x1+24 1000.0(0)/mv 16 0 128 -12624 0 aVL
HR19864.mat 16x1+24 1000.0(0)/mv 16 0 -142 -4004 0 aVF
HR19864.mat 16x1+24 1000.0(0)/mv 16 0 -625 4489 0 V1
HR19864.mat 16x1+24 1000.0(0)/mv 16 0 -810 9693 0 V2
HR19864.mat 16x1+24 1000.0(0)/mv 16 0 -785 8757 0 V3
HR19864.mat 16x1+24 1000.0(0)/mv 16 0 -540 -12279 0 V4
HR19864.mat 16x1+24 1000.0(0)/mv 16 0 -120 -13895 0 V5
HR19864.mat 16x1+24 1000.0(0)/mv 16 0 35 -4058 0 V6
# Age: 60
# Sex: Male
# Dx: 164861001,164865005,164951009,39732003,426783006
# Rx: Unknown
# Hx: Unknown
# Sx: Unknown