Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(722 bytes)
E00539 12 500 5000
E00539.mat 16x1+24 1000.0(0)/mV 16 0 -117 -25990 0 I
E00539.mat 16x1+24 1000.0(0)/mV 16 0 -68 26884 0 II
E00539.mat 16x1+24 1000.0(0)/mV 16 0 48 -12677 0 III
E00539.mat 16x1+24 1000.0(0)/mV 16 0 92 -509 0 aVR
E00539.mat 16x1+24 1000.0(0)/mV 16 0 -82 26237 0 aVL
E00539.mat 16x1+24 1000.0(0)/mV 16 0 -9 -25475 0 aVF
E00539.mat 16x1+24 1000.0(0)/mV 16 0 117 -21401 0 V1
E00539.mat 16x1+24 1000.0(0)/mV 16 0 204 -29554 0 V2
E00539.mat 16x1+24 1000.0(0)/mV 16 0 87 -18565 0 V3
E00539.mat 16x1+24 1000.0(0)/mV 16 0 19 8671 0 V4
E00539.mat 16x1+24 1000.0(0)/mV 16 0 -19 12995 0 V5
E00539.mat 16x1+24 1000.0(0)/mV 16 0 -68 22689 0 V6
# Age: 56
# Sex: Male
# Dx: 426177001,164873001
# Rx: Unknown
# Hx: Unknown