Literature DB >> 35600226

Measuring Gait Parameters from Structural Vibrations.

Benjamin T Davis1, Brianna I Bryant1, Stacy L Fritz2, Reed Handlery3, Alicia Flach2, Victor A Hirth1.   

Abstract

Measuring gait parameters (e.g. speed, cadence, step duration) accurately is invaluable for evaluation during treatment of older adults who struggle with disability onset, disease progression, balance, and injurious falls. Traditionally stopwatches or timing gates are used to measure gait speed in clinical settings, and these are limited to measuring gait speed. Other wearable and non-wearable technologies offer the ability to measure additional gait parameters though patients are known to walk differently with the devices and even tend to slow down before engaging with a non-wearable such as a floor mat. Floor vibrations are a promising option to measuring gait parameters while not being intrusive and not requiring line-of-sight to the patient for measurements. This paper presents methodology for extracting gait parameters using vibrations with comparisons to APDM Wearable Technologies Mobility Lab sensors and stopwatch measurements. Performance is examined across 97 participants for self-selected speed forward, full speed forward, and backwards walks at three different testing sites for a total of 1039 walks. Gait speed vibrations measurements demonstrated excellent reliability with APDM Mobility Lab (ICC: 0.98; 99% CI: 0.01±0.01 m/s) and stopwatch (ICC: 0.97; 99% CI: -0.01±0.01 m/s) measurements. Similar excellent results are reported for cadence, gait cycle duration, step duration, and stride length parameters.

Entities:  

Keywords:  APDM; cadence; gait cycle duration; gait speed; step duration; stopwatch; stride length; structural vibrations

Year:  2022        PMID: 35600226      PMCID: PMC9121791          DOI: 10.1016/j.measurement.2022.111076

Source DB:  PubMed          Journal:  Measurement (Lond)        ISSN: 0263-2241            Impact factor:   5.131


  26 in total

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Authors:  Stacy Fritz; Michelle Lusardi
Journal:  J Geriatr Phys Ther       Date:  2009       Impact factor: 3.381

2.  Gait and balance disorders in older adults.

Authors:  Brooke Salzman
Journal:  Am Fam Physician       Date:  2010-07-01       Impact factor: 3.292

Review 3.  How do I interpret a confidence interval?

Authors:  Sheila F O'Brien; Qi Long Yi
Journal:  Transfusion       Date:  2016-05-17       Impact factor: 3.157

4.  Spatiotemporal Gait Patterns During Overt and Covert Evaluation in Patients With Parkinson´s Disease and Healthy Subjects: Is There a Hawthorne Effect?

Authors:  Verónica Robles-García; Yoanna Corral-Bergantiños; Nelson Espinosa; María Amalia Jácome; Carlos García-Sancho; Javier Cudeiro; Pablo Arias
Journal:  J Appl Biomech       Date:  2014-12-23       Impact factor: 1.833

5.  Normative spatiotemporal gait parameters in older adults.

Authors:  John H Hollman; Eric M McDade; Ronald C Petersen
Journal:  Gait Posture       Date:  2011-04-29       Impact factor: 2.840

6.  Gait speed assessed by a 4-m walk test is not representative of daily-life gait speed in community-dwelling adults.

Authors:  Jeanine M Van Ancum; Kimberley S van Schooten; Nini H Jonkman; Bas Huijben; Rob C van Lummel; Carel G M Meskers; Andrea B Maier; Mirjam Pijnappels
Journal:  Maturitas       Date:  2018-12-07       Impact factor: 4.342

Review 7.  Gait speed at usual pace as a predictor of adverse outcomes in community-dwelling older people an International Academy on Nutrition and Aging (IANA) Task Force.

Authors:  G Abellan van Kan; Y Rolland; S Andrieu; J Bauer; O Beauchet; M Bonnefoy; M Cesari; L M Donini; S Gillette Guyonnet; M Inzitari; F Nourhashemi; G Onder; P Ritz; A Salva; M Visser; B Vellas
Journal:  J Nutr Health Aging       Date:  2009-12       Impact factor: 4.075

8.  Epidemiology of gait disorders in community-residing older adults.

Authors:  Joe Verghese; Aaron LeValley; Charles B Hall; Mindy J Katz; Anne F Ambrose; Richard B Lipton
Journal:  J Am Geriatr Soc       Date:  2006-02       Impact factor: 5.562

Review 9.  Moving forward on gait measurement: toward a more refined approach.

Authors:  Sue Lord; Brook Galna; Lynn Rochester
Journal:  Mov Disord       Date:  2013-09-15       Impact factor: 10.338

10.  Gait analysis methods: an overview of wearable and non-wearable systems, highlighting clinical applications.

Authors:  Alvaro Muro-de-la-Herran; Begonya Garcia-Zapirain; Amaia Mendez-Zorrilla
Journal:  Sensors (Basel)       Date:  2014-02-19       Impact factor: 3.576

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