دورية أكاديمية
أعرض في EDS

Identifying Individuals Who Currently Report Feelings of Anxiety Using Walking Gait and Quiet Balance: An Exploratory Study Using Machine Learning.

التفاصيل البيبلوغرافية
العنوان: Identifying Individuals Who Currently Report Feelings of Anxiety Using Walking Gait and Quiet Balance: An Exploratory Study Using Machine Learning.
المؤلفون: Stark M; Department of Medicine, Lake Erie Osteopathic College of Medicine, Elmira, NY 14901, USA., Huang H; Department of Computer Science, George Mason University, Fairfax, VA 22030, USA., Yu LF; Department of Computer Science, George Mason University, Fairfax, VA 22030, USA., Martin R; Department of Physical Therapy, Hanover College, Hanover, IN 47243, USA., McCarthy R; Department of Biology, Clarkson University, Potsdam, NY 13699, USA.; Department of Psychology, Clarkson University, Potsdam, NY 13699, USA., Locke E; Department of Chemistry and Biomolecular Science, Clarkson University, Potsdam, NY 13699, USA., Yager C; Department of Neurology, St. Joseph's Hospital Health Center, Syracuse, NY 13203, USA., Torad AA; Department of Physical Therapy, Clarkson University, Potsdam, NY 13699, USA.; Faculty of Physical Therapy, Kafrelsheik University, Kafr El Sheik 33516, Egypt., Kadry AM; Department of Physical Therapy, Clarkson University, Potsdam, NY 13699, USA.; Faculty of Physical Therapy, Kafrelsheik University, Kafr El Sheik 33516, Egypt., Elwan MA; Department of Physical Therapy, Clarkson University, Potsdam, NY 13699, USA.; Faculty of Physical Therapy, Beni-Suef University, Beni-Suef 62521, Egypt., Smith ML; Department of Environmental and Occupational Health, School of Public Health, Texas A&M University, College Station, TX 77843, USA., Bradley D; Canino School of Engineering Technology, State University of New York, Canton, NY 13617, USA., Boolani A; Department of Biology, Clarkson University, Potsdam, NY 13699, USA.; Department of Physical Therapy, Clarkson University, Potsdam, NY 13699, USA.
المصدر: Sensors (Basel, Switzerland) [Sensors (Basel)] 2022 Apr 20; Vol. 22 (9). Date of Electronic Publication: 2022 Apr 20.
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: Anxiety* , Gait* , Postural Balance*, Cross-Sectional Studies ; Fear ; Humans ; Machine Learning ; Walking ; Young Adult
مستخلص: Literature suggests that anxiety affects gait and balance among young adults. However, previous studies using machine learning (ML) have only used gait to identify individuals who report feeling anxious. Therefore, the purpose of this study was to identify individuals who report feeling anxious at that time using a combination of gait and quiet balance ML. Using a cross-sectional design, participants (n = 88) completed the Profile of Mood Survey-Short Form (POMS-SF) to measure current feelings of anxiety and were then asked to complete a modified Clinical Test for Sensory Interaction in Balance (mCTSIB) and a two-minute walk around a 6 m track while wearing nine APDM mobility sensors. Results from our study finds that Random Forest classifiers had the highest median accuracy rate (75%) and the five top features for identifying anxious individuals were all gait parameters (turn angles, variance in neck, lumbar rotation, lumbar movement in the sagittal plane, and arm movement). Post-hoc analyses suggest that individuals who reported feeling anxious also walked using gait patterns most similar to older individuals who are fearful of falling. Additionally, we find that individuals who are anxious also had less postural stability when they had visual input; however, these individuals had less movement during postural sway when visual input was removed.
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فهرسة مساهمة: Keywords: APDM monitors; anxiety; balance; gait; mCTSIB; machine learning; sensors
تواريخ الأحداث: Date Created: 20220520 Date Completed: 20220523 Latest Revision: 20220716
رمز التحديث: 20231215
مُعرف محوري في PubMed: PMC9105708
DOI: 10.3390/s22093163
PMID: 35590853
قاعدة البيانات: MEDLINE
الوصف
تدمد:1424-8220
DOI:10.3390/s22093163