ABSTRACT
Introduction: The use of tele-rehabilitation devices to aid physiotherapy has gained popularity in recent years. In particular, measuring limb range of motion with a wearable mobile sensor can facilitate rehabilitation therapies by providing more efficient progress monitoring and reducing clinicians workload. This study aimed to examine the test-retest reliability and validity of using a wearable mobile sensor to measure upper limb range of motion (ROM).Materials and methods: Participants were recruited by convenient sampling. They were instructed to perform four kinds of upper limb movements including shoulder flexion, abduction, external rotation and elbow flexion, from which the ROM was measured by Mobile sensors REBEE (XCLR8 Technologies) and a standard goniometer (Model 12-1000) in each movement. Each kind of movements and the two ROM measurements were performed twice for the evaluation of test-retest reliability using Intraclass Correlation Coefficients (ICC). Pearson's correlations were computed between the ROM measured by the mobile sensors and the goniometer in each movement to assess construct validities of the mobile sensors. The agreement (95% mean difference) between the two sets of measurement was illustrated by Bland-Altman plots.Results: Thirty-four asymptomatic young Asian adults (15 males) participated in this study (Mage ± SD, 24.2 ± 3.82 years). The ICC for the ROM measured by the sensors were between 0.94 and 0.99, p <0.01 and for the goniometer measurements were between 0.95 and 0.98, p <0.01 in the four movements, indicating excellent reliability in both measurement methods. The Pearson's correlation between the sensors and goniometric ROM measurements in four kinds of movements ranged from r =0.96 to 0.99, p <0.01, indicating a very strong construct validity for using the mobile sensors to measure upper limb ROM. The mean difference between the two measurements ranged from 0.13 degrees to 7.6 degrees...(AU)
Introducción: El uso de dispositivos de tele-rehabilitación para ayudar a la fisioterapia ha ganado popularidad en los últimos años. En particular, medir el rango de movimiento de las extremidades con un sensor móvil portátil puede facilitar las terapias de rehabilitación al proporcionar una supervisión del progreso más eficiente y reducir la carga de trabajo de los médicos. Este estudio tuvo como objetivo examinar la confiabilidad y la validez test-retest del uso de un sensor móvil portátil para medir el rango de movimiento de las extremidades superiores (ROM).Materiales y métodos: Los participantes fueron reclutados mediante muestreo conveniente. Se les indicó que realizaran cuatro tipos de movimientos de las extremidades superiores, incluida la flexión del hombro, la abducción, la rotación externa y la flexión del codo, a partir de los cuales se midió el ROM con los sensores móviles REBEE (XCLR8 Technologies) y un goniómetro estándar (Modelo 12-1000) en cada movimiento. . Cada tipo de movimientos y las dos mediciones de ROM se realizaron dos veces para la evaluación de la confiabilidad test-retest utilizando coeficientes de correlación intraclase (ICC). Se calcularon las correlaciones de Pearson entre el ROM medido por los sensores móviles y el goniómetro en cada movimiento para evaluar la validez de constructo de los sensores móviles. La concordancia (diferencia media del 95%) entre los dos conjuntos de medidas se ilustró mediante gráficos de Bland-Altman.Resultados: Treinta y cuatro adultos jóvenes asiáticos asintomáticos (15 hombres) participaron en este estudio (Mage ± SD, 24,2 ± 3,82 años). El ICC para el ROM medido por los sensores estuvo entre 0.94 y 0.99, p <0.01 y para las mediciones del goniómetro estuvo entre 0.95 y 0.98, p <0.01 en los cuatro movimientos, lo que indica una excelente confiabilidad en ambos métodos de medición...(AU)
Subject(s)
Humans , Male , Female , Reproducibility of Results , Range of Motion, Articular , Arthrometry, Articular/methods , Physical Therapy Modalities , Upper Extremity , Rehabilitation , AccelerometryABSTRACT
Purpose Individuals with neurogenic speech disorders require ongoing therapeutic support to achieve functional communication goals. Alternative methods for service delivery, such as tablet-based speech therapy applications, may help bridge the gap and bring therapeutic interventions to the patient in an engaging way. The purpose of this study was to evaluate an iPad-based speech therapy app that uses automatic speech recognition (ASR) software to provide feedback on speech accuracy to determine the ASR's accuracy against human judgment and whether participants' speech improved with this ASR-based feedback. Method Five participants with apraxia of speech plus aphasia secondary to stroke completed an intensive 4-week at-home therapy program using a novel word training app with built-in ASR. Multiple baselines across participants and behaviors designs were employed, with weekly probes and follow-up at 1 month posttreatment. Four sessions a week of 100 practice trials each were prescribed, with 1 being clinician-run and the remainder done independently. Dependent variables of interest were ASR-human agreement on accuracy during practice trials and human-judged word production accuracy over time in probes. Also, user experience surveys were completed immediately posttreatment. Results ASR-human agreement on accuracy averaged ~80%, which is a common threshold applied for interrater agreement. All participants demonstrated improved word production accuracy over time with the ASR-based feedback and maintenance of gains after 1 month. All participants reported enjoying using the app with support of a speech pathologist. Conclusion For these participants with apraxia of speech plus aphasia due to stroke, satisfactory gains were made in word production accuracy with an app-based therapy program providing ASR-based feedback on accuracy. Findings support further testing of this ASR-based approach as a supplement to clinician-run sessions to assist clients with similar profiles in achieving higher amount and intensity of practice as well as empowering them to manage their own therapy program. Supplemental Material https://doi.org/10.23641/asha.8206628.
