دورية أكاديمية
Are Gait Patterns during In-Lab Running Representative of Gait Patterns during Real-World Training? An Experimental Study.
العنوان: | Are Gait Patterns during In-Lab Running Representative of Gait Patterns during Real-World Training? An Experimental Study. |
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المؤلفون: | Davis JJ 4th; Department of Kinesiology, School of Public Health-Bloomington, Indiana University, Bloomington, IN 47405, USA., Meardon SA; Department of Physical Therapy, East Carolina University, Greenville, NC 27858, USA., Brown AW; Department of Biostatistics, University of Arkansas for Medical Sciences, Little Rock, AR 72205, USA., Raglin JS; Department of Kinesiology, School of Public Health-Bloomington, Indiana University, Bloomington, IN 47405, USA., Harezlak J; Department of Epidemiology and Biostatistics, School of Public Health-Bloomington, Indiana University, Bloomington, IN 47405, USA., Gruber AH; Department of Kinesiology, School of Public Health-Bloomington, Indiana University, Bloomington, IN 47405, USA. |
المصدر: | Sensors (Basel, Switzerland) [Sensors (Basel)] 2024 May 01; Vol. 24 (9). Date of Electronic Publication: 2024 May 01. |
نوع المنشور: | Journal Article |
اللغة: | English |
بيانات الدورية: | Publisher: MDPI Country of Publication: Switzerland NLM ID: 101204366 Publication Model: Electronic Cited Medium: Internet ISSN: 1424-8220 (Electronic) Linking ISSN: 14248220 NLM ISO Abbreviation: Sensors (Basel) Subsets: MEDLINE |
أسماء مطبوعة: | Original Publication: Basel, Switzerland : MDPI, c2000- |
مواضيع طبية MeSH: | Running*/physiology , Gait*/physiology, Humans ; Male ; Biomechanical Phenomena/physiology ; Female ; Adult ; Wearable Electronic Devices ; Young Adult ; Gait Analysis/methods |
مستخلص: | Biomechanical assessments of running typically take place inside motion capture laboratories. However, it is unclear whether data from these in-lab gait assessments are representative of gait during real-world running. This study sought to test how well real-world gait patterns are represented by in-lab gait data in two cohorts of runners equipped with consumer-grade wearable sensors measuring speed, step length, vertical oscillation, stance time, and leg stiffness. Cohort 1 ( N = 49) completed an in-lab treadmill run plus five real-world runs of self-selected distances on self-selected courses. Cohort 2 ( N = 19) completed a 2.4 km outdoor run on a known course plus five real-world runs of self-selected distances on self-selected courses. The degree to which in-lab gait reflected real-world gait was quantified using univariate overlap and multivariate depth overlap statistics, both for all real-world running and for real-world running on flat, straight segments only. When comparing in-lab and real-world data from the same subject, univariate overlap ranged from 65.7% (leg stiffness) to 95.2% (speed). When considering all gait metrics together, only 32.5% of real-world data were well-represented by in-lab data from the same subject. Pooling in-lab gait data across multiple subjects led to greater distributional overlap between in-lab and real-world data (depth overlap 89.3-90.3%) due to the broader variability in gait seen across (as opposed to within) subjects. Stratifying real-world running to only include flat, straight segments did not meaningfully increase the overlap between in-lab and real-world running (changes of <1%). Individual gait patterns during real-world running, as characterized by consumer-grade wearable sensors, are not well-represented by the same runner's in-lab data. Researchers and clinicians should consider "borrowing" information from a pool of many runners to predict individual gait behavior when using biomechanical data to make clinical or sports performance decisions. |
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معلومات مُعتمدة: | n/a American Society of Biomechanics; n/a American College of Sports Medicine Foundation, World Athletics Research Grant |
فهرسة مساهمة: | Keywords: biomechanics; depth statistics; free-living gait; unsupervised learning; wearable technology |
تواريخ الأحداث: | Date Created: 20240511 Date Completed: 20240511 Latest Revision: 20240513 |
رمز التحديث: | 20240513 |
مُعرف محوري في PubMed: | PMC11086149 |
DOI: | 10.3390/s24092892 |
PMID: | 38732998 |
قاعدة البيانات: | MEDLINE |
تدمد: | 1424-8220 |
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DOI: | 10.3390/s24092892 |