Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(709 bytes)
E00469 12 500 5000
E00469.mat 16x1+24 1000.0(0)/mV 16 0 -29 -15102 0 I
E00469.mat 16x1+24 1000.0(0)/mV 16 0 29 17831 0 II
E00469.mat 16x1+24 1000.0(0)/mV 16 0 58 -31991 0 III
E00469.mat 16x1+24 1000.0(0)/mV 16 0 0 -1411 0 aVR
E00469.mat 16x1+24 1000.0(0)/mV 16 0 -43 -23979 0 aVL
E00469.mat 16x1+24 1000.0(0)/mV 16 0 43 25789 0 aVF
E00469.mat 16x1+24 1000.0(0)/mV 16 0 29 -22275 0 V1
E00469.mat 16x1+24 1000.0(0)/mV 16 0 78 -17178 0 V2
E00469.mat 16x1+24 1000.0(0)/mV 16 0 48 -19658 0 V3
E00469.mat 16x1+24 1000.0(0)/mV 16 0 78 28435 0 V4
E00469.mat 16x1+24 1000.0(0)/mV 16 0 87 31292 0 V5
E00469.mat 16x1+24 1000.0(0)/mV 16 0 107 -12706 0 V6
# Age: 58
# Sex: Male
# Dx: 427393009
# Rx: Unknown
# Hx: Unknown