Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(709 bytes)
E05165 12 500 5000
E05165.mat 16x1+24 1000.0(0)/mV 16 0 -78 -14129 0 I
E05165.mat 16x1+24 1000.0(0)/mV 16 0 -9 3007 0 II
E05165.mat 16x1+24 1000.0(0)/mV 16 0 68 16750 0 III
E05165.mat 16x1+24 1000.0(0)/mV 16 0 43 5607 0 aVR
E05165.mat 16x1+24 1000.0(0)/mV 16 0 -73 17338 0 aVL
E05165.mat 16x1+24 1000.0(0)/mV 16 0 29 -23016 0 aVF
E05165.mat 16x1+24 1000.0(0)/mV 16 0 -48 -19525 0 V1
E05165.mat 16x1+24 1000.0(0)/mV 16 0 -126 20230 0 V2
E05165.mat 16x1+24 1000.0(0)/mV 16 0 29 10403 0 V3
E05165.mat 16x1+24 1000.0(0)/mV 16 0 -58 -2702 0 V4
E05165.mat 16x1+24 1000.0(0)/mV 16 0 -48 -9053 0 V5
E05165.mat 16x1+24 1000.0(0)/mV 16 0 -19 11239 0 V6
# Age: 79
# Sex: Male
# Dx: 426783006
# Rx: Unknown
# Hx: Unknown