FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2104829667> ?p ?o ?g. }

• W2104829667 endingPage "e1001033" @default.
• W2104829667 startingPage "e1001033" @default.
• W2104829667 abstract "Reliable characterization of locomotor dynamics of human walking is vital to understanding the neuromuscular control of human locomotion and disease diagnosis. However, the inherent oscillation and ubiquity of noise in such non-strictly periodic signals pose great challenges to current methodologies. To this end, we exploit the state-of-the-art technology in pattern recognition and, specifically, dimensionality reduction techniques, and propose to reconstruct and characterize the dynamics accurately on the cycle scale of the signal. This is achieved by deriving a low-dimensional representation of the cycles through global optimization, which effectively preserves the topology of the cycles that are embedded in a high-dimensional Euclidian space. Our approach demonstrates a clear advantage in capturing the intrinsic dynamics and probing the subtle synchronization patterns from uni/bivariate oscillatory signals over traditional methods. Application to human gait data for healthy subjects and diabetics reveals a significant difference in the dynamics of ankle movements and ankle-knee coordination, but not in knee movements. These results indicate that the impaired sensory feedback from the feet due to diabetes does not influence the knee movement in general, and that normal human walking is not critically dependent on the feedback from the peripheral nervous system." @default.
• W2104829667 created "2016-06-24" @default.
• W2104829667 creator A5003850660 @default.
• W2104829667 creator A5015055144 @default.
• W2104829667 creator A5073501391 @default.
• W2104829667 creator A5080019095 @default.
• W2104829667 date "2010-12-16" @default.
• W2104829667 modified "2023-09-29" @default.
• W2104829667 title "Rhythmic Dynamics and Synchronization via Dimensionality Reduction: Application to Human Gait" @default.
• W2104829667 cites W1964769652 @default.
• W2104829667 cites W1966523973 @default.
• W2104829667 cites W1969511443 @default.
• W2104829667 cites W1970442252 @default.
• W2104829667 cites W1974378797 @default.
• W2104829667 cites W1976338337 @default.
• W2104829667 cites W1981510969 @default.
• W2104829667 cites W1987144436 @default.
• W2104829667 cites W1994609086 @default.
• W2104829667 cites W1995958143 @default.
• W2104829667 cites W2004951935 @default.
• W2104829667 cites W2008860278 @default.
• W2104829667 cites W2017177220 @default.
• W2104829667 cites W2022537188 @default.
• W2104829667 cites W2025616741 @default.
• W2104829667 cites W2025763088 @default.
• W2104829667 cites W2031640784 @default.
• W2104829667 cites W2032456891 @default.
• W2104829667 cites W2034280807 @default.
• W2104829667 cites W2034330526 @default.
• W2104829667 cites W2039627263 @default.
• W2104829667 cites W2040582417 @default.
• W2104829667 cites W2044257293 @default.
• W2104829667 cites W2045610787 @default.
• W2104829667 cites W2047864792 @default.
• W2104829667 cites W2050143329 @default.
• W2104829667 cites W2053186076 @default.
• W2104829667 cites W2055538060 @default.
• W2104829667 cites W2056651346 @default.
• W2104829667 cites W2058713030 @default.
• W2104829667 cites W2059982399 @default.
• W2104829667 cites W2066864234 @default.
• W2104829667 cites W2075336646 @default.
• W2104829667 cites W2077023123 @default.
• W2104829667 cites W2081681829 @default.
• W2104829667 cites W2085295416 @default.
• W2104829667 cites W2093446113 @default.
• W2104829667 cites W2097308346 @default.
• W2104829667 cites W2102568183 @default.
• W2104829667 cites W2104198280 @default.
• W2104829667 cites W2109413227 @default.
• W2104829667 cites W2109713924 @default.
• W2104829667 cites W2117663940 @default.
• W2104829667 cites W2124187669 @default.
• W2104829667 cites W2125525099 @default.
• W2104829667 cites W2127719586 @default.
• W2104829667 cites W2129447992 @default.
• W2104829667 cites W2132954098 @default.
• W2104829667 cites W2133100699 @default.
• W2104829667 cites W2133280087 @default.
• W2104829667 cites W2137219016 @default.
• W2104829667 cites W2144228776 @default.
• W2104829667 cites W2152254020 @default.
• W2104829667 cites W2155402574 @default.
• W2104829667 cites W2158286614 @default.
• W2104829667 cites W2160186555 @default.
• W2104829667 cites W2160413527 @default.
• W2104829667 cites W2221831393 @default.
• W2104829667 cites W261461018 @default.
• W2104829667 cites W2997000181 @default.
• W2104829667 cites W3106267418 @default.
• W2104829667 cites W652580693 @default.
• W2104829667 doi "https://doi.org/10.1371/journal.pcbi.1001033" @default.
• W2104829667 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/3002994" @default.
• W2104829667 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/21187907" @default.
• W2104829667 hasPublicationYear "2010" @default.
• W2104829667 type Work @default.
• W2104829667 sameAs 2104829667 @default.
• W2104829667 citedByCount "33" @default.
• W2104829667 countsByYear W21048296672012 @default.
• W2104829667 countsByYear W21048296672013 @default.
• W2104829667 countsByYear W21048296672014 @default.
• W2104829667 countsByYear W21048296672015 @default.
• W2104829667 countsByYear W21048296672016 @default.
• W2104829667 countsByYear W21048296672017 @default.
• W2104829667 countsByYear W21048296672018 @default.
• W2104829667 countsByYear W21048296672021 @default.
• W2104829667 countsByYear W21048296672022 @default.
• W2104829667 crossrefType "journal-article" @default.
• W2104829667 hasAuthorship W2104829667A5003850660 @default.
• W2104829667 hasAuthorship W2104829667A5015055144 @default.
• W2104829667 hasAuthorship W2104829667A5073501391 @default.
• W2104829667 hasAuthorship W2104829667A5080019095 @default.
• W2104829667 hasBestOaLocation W21048296671 @default.
• W2104829667 hasConcept C127162648 @default.
• W2104829667 hasConcept C146549078 @default.
• W2104829667 hasConcept C151800584 @default.
• W2104829667 hasConcept C154945302 @default.
• W2104829667 hasConcept C2775924081 @default.

• next