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One-dimension statistical parametric mapping in lower limb biomechanical analysis: A systematic scoping review.
Tomer Yona1, Netanel Kamel2, Galya Cohen-Eick1
1Department of Biomedical Engineering, Technion, Israel Institute of Technology, Haifa, Israel.
Gait & Posture
|February 2, 2024
Summary
This review highlights limited use of one-dimensional Statistical Parametric Mapping (spm1d) in sports biomechanics research. Key gaps include underrepresentation of diverse sports, injuries, and settings, hindering spm1d
Area of Science:
- Sports Biomechanics
- Movement Analysis
- Injury Prevention
Background:
- Traditional biomechanical analysis simplifies complex movement data.
- One-dimensional Statistical Parametric Mapping (spm1d) offers a more comprehensive analysis of kinetic and kinematic curves.
- Current applications of spm1d in sports and injury research are not well-documented.
Purpose of the Study:
- To systematically review existing research utilizing spm1d in lower limb sports biomechanics.
- To identify populations, activities, and injuries studied.
- To pinpoint current research gaps in spm1d application.
Main Methods:
- A scoping systematic review was conducted.
- Searched major databases (PubMed, Embase, Web of Science, ProQuest) using specific keywords related to lower limb joints and spm1d.
- Included peer-reviewed English studies on lower limb kinetics/kinematics in sports or injuries; excluded reviews and grey literature.
Main Results:
- 165 papers published since 2012 were identified.
- Healthy individuals (67%) were more studied than injured populations (33%).
- Running, cutting, and jumping/landing were common activities; ACL rupture, ankle instability, and hip pain were frequent injuries. Significant research gaps were identified, including unbalanced populations, underrepresentation of common sports/injuries, gender inequality, limited non-laboratory studies, and lack of reporting standardization.
Conclusions:
- Significant gaps exist in spm1d research within sports biomechanics, particularly concerning diverse populations, sports, and injury types.
- A lack of studies in real-world settings and standardized reporting hinders the broader application of spm1d.
- Addressing these gaps is crucial for advancing spm1d's utility in sports performance enhancement, injury analysis, and rehabilitation.
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