One-leg hop kinematics 20 years following anterior cruciate ligament rupture: Data revisited using functional data analysis

Hébert-Losier K 1 , Pini A 2 , Vantini S 2 , Strandberg J 3 , Abramowicz K 3 , Schelin L 4 Show all authors , Häger CK 4

Affiliations 

  • 1 National Sports Institute of Malaysia, National Sports Complex, Bukit Jalil, Peti Surat 7102, 57700 Kuala Lumpur, Malaysia. Electronic address: hl.kim@isn.gov.my
  • 2 MOX - Department of Mathematics, Politecnico di Milano, Piazza Leonardo da Vinci 32, 20133, Milan, Italy
  • 3 Department of Mathematics and Mathematical Statistics, Umeå University, 901 87, Umeå, Sweden
  • 4 Department of Community Medicine and Rehabilitation; Physiotherapy, Umeå University, 901 87, Umeå, Sweden
Clin Biomech (Bristol, Avon), 2015 Dec;30(10):1153-61.
PMID: 26365484 DOI: 10.1016/j.clinbiomech.2015.08.010

Abstract

Despite interventions, anterior cruciate ligament ruptures can cause long-term deficits. To assist in identifying and treating deficiencies, 3D-motion analysis is used for objectivizing data. Conventional statistics are commonly employed to analyze kinematics, reducing continuous data series to discrete variables. Conversely, functional data analysis considers the entire data series.

* Title and MeSH Headings from MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine.

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