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Measuring Gait Parameters from Structural Vibrations.
Davis, Benjamin T; Bryant, Brianna I; Fritz, Stacy L; Handlery, Reed; Flach, Alicia; Hirth, Victor A.
Afiliación
  • Davis BT; Advanced Smart Systems and Evaluation Technologies (ASSET), LLC 1400 Laurel Street, Columbia, SC 29201, USA.
  • Bryant BI; Advanced Smart Systems and Evaluation Technologies (ASSET), LLC 1400 Laurel Street, Columbia, SC 29201, USA.
  • Fritz SL; Arnold School of Public Health, Physical Therapy Program, University of South Carolina, 921 Assembly St, Columbia, SC 29208.
  • Handlery R; Arkansas Colleges of Health Education, 7000 Chad Colley Blvd, Fort Smith, AR 72916.
  • Flach A; Arnold School of Public Health, Physical Therapy Program, University of South Carolina, 921 Assembly St, Columbia, SC 29208.
  • Hirth VA; Advanced Smart Systems and Evaluation Technologies (ASSET), LLC 1400 Laurel Street, Columbia, SC 29201, USA.
Measurement (Lond) ; 1952022 May 31.
Article en En | MEDLINE | ID: mdl-35600226
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.
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Texto completo: 1 Bases de datos: MEDLINE Idioma: En Revista: Measurement (Lond) Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Bases de datos: MEDLINE Idioma: En Revista: Measurement (Lond) Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos