Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(716 bytes)
E02499 12 500 5000
E02499.mat 16x1+24 1000.0(0)/mV 16 0 -58 -8399 0 I
E02499.mat 16x1+24 1000.0(0)/mV 16 0 -29 9337 0 II
E02499.mat 16x1+24 1000.0(0)/mV 16 0 29 18511 0 III
E02499.mat 16x1+24 1000.0(0)/mV 16 0 43 32296 0 aVR
E02499.mat 16x1+24 1000.0(0)/mV 16 0 -43 19397 0 aVL
E02499.mat 16x1+24 1000.0(0)/mV 16 0 0 13977 0 aVF
E02499.mat 16x1+24 1000.0(0)/mV 16 0 97 17964 0 V1
E02499.mat 16x1+24 1000.0(0)/mV 16 0 136 9145 0 V2
E02499.mat 16x1+24 1000.0(0)/mV 16 0 -78 -7904 0 V3
E02499.mat 16x1+24 1000.0(0)/mV 16 0 -117 5707 0 V4
E02499.mat 16x1+24 1000.0(0)/mV 16 0 -107 5860 0 V5
E02499.mat 16x1+24 1000.0(0)/mV 16 0 -107 14390 0 V6
# Age: 50
# Sex: Male
# Dx: 426177001,427393009
# Rx: Unknown
# Hx: Unknown