Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(751 bytes)
HR04954 12 500 5000
HR04954.mat 16x1+24 1000.0(0)/mv 16 0 80 -28725 0 I
HR04954.mat 16x1+24 1000.0(0)/mv 16 0 130 -12323 0 II
HR04954.mat 16x1+24 1000.0(0)/mv 16 0 50 16379 0 III
HR04954.mat 16x1+24 1000.0(0)/mv 16 0 -105 20474 0 aVR
HR04954.mat 16x1+24 1000.0(0)/mv 16 0 15 -21948 0 aVL
HR04954.mat 16x1+24 1000.0(0)/mv 16 0 90 2333 0 aVF
HR04954.mat 16x1+24 1000.0(0)/mv 16 0 100 23891 0 V1
HR04954.mat 16x1+24 1000.0(0)/mv 16 0 565 -3349 0 V2
HR04954.mat 16x1+24 1000.0(0)/mv 16 0 650 -17725 0 V3
HR04954.mat 16x1+24 1000.0(0)/mv 16 0 520 -4220 0 V4
HR04954.mat 16x1+24 1000.0(0)/mv 16 0 715 -12852 0 V5
HR04954.mat 16x1+24 1000.0(0)/mv 16 0 1565 14139 0 V6
# Age: 45
# Sex: Male
# Dx: 426783006,427393009
# Rx: Unknown
# Hx: Unknown
# Sx: Unknown