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Examining the validity of smart glasses in measuring spatiotemporal parameters of gait among people with Parkinson's disease.
Fang, James R; Pahwa, Rajesh; Lyons, Kelly E; Zanotto, Tobia; Sosnoff, Jacob J.
Afiliación
  • Fang JR; Department of Physical Therapy, Rehabilitation Sciences and Athletic Training, School of Health Professions, University of Kansas Medical Center, Kansas City, KS, United States.
  • Pahwa R; Department of Neurology, Parkinson's Disease and Movement Disorder Center, University of Kansas Medical Center, Kansas City, KS, United States.
  • Lyons KE; Department of Neurology, Parkinson's Disease and Movement Disorder Center, University of Kansas Medical Center, Kansas City, KS, United States.
  • Zanotto T; Department of Occupational Therapy Education, School of Health Professions, University of Kansas Medical Center, Kansas City, KS, United States; Mobility Core, University of Kansas Center for Community Access, Rehabilitation Research, Education and Service, Kansas City, KS, United States.
  • Sosnoff JJ; Department of Physical Therapy, Rehabilitation Sciences and Athletic Training, School of Health Professions, University of Kansas Medical Center, Kansas City, KS, United States; Department of Occupational Therapy Education, School of Health Professions, University of Kansas Medical Center, Kansas Ci
Gait Posture ; 113: 139-144, 2024 Sep.
Article en En | MEDLINE | ID: mdl-38897002
ABSTRACT

BACKGROUND:

Gait impairment is an early marker of Parkinson's disease (PD) and is frequently monitored to evaluate disease progression. Wearable sensors are increasingly being used to quantify gait in the real-world setting among people with PD (pwPD). Particularly, embedding wearables on devices or clothing that are worn daily may represent a useful strategy to improve compliance and regular monitoring of gait. RESEARCH QUESTION The current investigation examined the validity of innovative smart glasses to measure gait among pwPD.

METHODS:

Participants wore the smart glasses and 6 APDM gait sensors simultaneously, while performing two walking tasks the 3-meters Timed Up and Go test (TUG) and the 7-meters Stand and Walk (SAW) test. The following spatiotemporal gait parameters were calculated from the data collected using the two different devices step time, step length, swing percentage, TUG duration, turn duration, and turn velocity.

RESULTS:

A total of 31 pwPD (mean age=68.6±8.5 years; 35.48 % female(N=11), mean Unified Parkinson's Disease Rating Scale (UPDRS) total score=32.1±14.7) participated in the study. Smart glasses achieved high validity in measuring step time (ICC=0.92, p=0.01) and TUG duration (ICC=0.96, p=0.03) compared to APDM sensors. On the other hand, the smart glasses did not achieve adequate validity when measuring step length, swing percentage, turn duration or turn velocity.

SIGNIFICANCE:

The current study suggests that smart glasses has the potential to measure TUG and step time in individuals living with PD. However, further research is needed to improve algorithms for sensors worn on the head.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Enfermedad de Parkinson / Trastornos Neurológicos de la Marcha / Gafas Inteligentes Límite: Aged / Female / Humans / Male / Middle aged Idioma: En Revista: Gait Posture Asunto de la revista: ORTOPEDIA Año: 2024 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Enfermedad de Parkinson / Trastornos Neurológicos de la Marcha / Gafas Inteligentes Límite: Aged / Female / Humans / Male / Middle aged Idioma: En Revista: Gait Posture Asunto de la revista: ORTOPEDIA Año: 2024 Tipo del documento: Article País de afiliación: Estados Unidos
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