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1.
PLOS Digit Health ; 2(11): e0000262, 2023 Nov.
Artículo en Inglés | MEDLINE | ID: mdl-37992015

RESUMEN

Wearable technology provides an opportunity for new ways of monitoring patient gait remotely, through at-home self-administered six-minute walk tests (6MWTs). The purpose of this study was to evaluate the test-retest reliability of FeetMe insoles, a wearable gait assessment device, for measuring the six-minute walking distance (6MWD) during tests conducted with a one-week interval by completely unassisted healthy adults in their homes. Participants (n = 21) performed two 6MWTs at home while wearing the FeetMe insoles, and two 6MWTs at hospital while wearing FeetMe insoles and being assessed by a rater. All assessments were performed with a one-week interval between tests, no assistance was provided to the participants at home. The agreement between the 6MWD measurements made at baseline and at Week 1 was good for all test configurations and was highest for the at-home FeetMe measurements, with an intraclass correlation coefficient (ICC) of 0.95, standard error of the measurement (SEM) of 15.02 m and coefficient of variation (CV) of 3.33%, compared to ICCs of 0.79 and 0.78, SEMs of 25.65 and 26.65 and CVs of 6.24% and 6.10% for the rater and FeetMe measurements at hospital, respectively. Our work demonstrates that the FeetMe system could provide a reliable solution allowing individuals to self-administer 6MWTs independently at home.

2.
Sensors (Basel) ; 21(19)2021 Sep 30.
Artículo en Inglés | MEDLINE | ID: mdl-34640868

RESUMEN

The continuous, accurate and reliable estimation of gait parameters as a measure of mobility is essential to assess the loss of functional capacity related to the progression of disease. Connected insoles are suitable wearable devices which allow precise, continuous, remote and passive gait assessment. The data of 25 healthy volunteers aged 20 to 77 years were analysed in the study to validate gait parameters (stride length, velocity, stance, swing, step and single support durations and cadence) measured by FeetMe® insoles against the GAITRite® mat reference. The mean values and the values of variability were calculated per subject for GAITRite® and insoles. A t-test and Levene's test were used to compare the gait parameters for means and variances, respectively, obtained for both devices. Additionally, measures of bias, standard deviation of differences, Pearson's correlation and intraclass correlation were analysed to explore overall agreement between the two devices. No significant differences in mean and variance between the two devices were detected. Pearson's correlation coefficients of averaged gait estimates were higher than 0.98 and 0.8, respectively, for unipedal and bipedal gait parameters, supporting a high level of agreement between the two devices. The connected insoles are therefore a device equivalent to GAITRite® to estimate the mean and variability of gait parameters.


Asunto(s)
Marcha , Dispositivos Electrónicos Vestibles , Adulto , Voluntarios Sanos , Humanos , Reproducibilidad de los Resultados , Zapatos
3.
Top Stroke Rehabil ; 28(2): 127-134, 2021 03.
Artículo en Inglés | MEDLINE | ID: mdl-32654627

RESUMEN

BACKGROUND: One of the main challenges after stroke is gait recovery. To provide patients with an individualized rehabilitation program, it is helpful to have real-life objective evaluations at baseline and at regular follow-ups to adjust the program and verify potential improvements. OBJECTIVES: To evaluate the accuracy and reliability of a fully stand-alone system of connected insoles (FeetMe® Monitor) against a widely used clinical walkway system (GAITRite®). METHODS: Twenty-nine subjects with a stroke that occurred >6 months prior participated in the study. Their comfortable gait over three 8-m trials was evaluated by four raters, on Day 1 and Day 7, using simultaneously FeetMe® Monitor and GAITRite®. Velocity, stride length, cadence, stance, and swing duration were calculated on both sides over three sequences of gait: one single stride, 8 m, and three 8-m trials pooled. The Intra-class Correlation Coefficient (ICC) and the Bland-Altman plot evaluated the construct validity (inter-device) and the reliability (test-retest and inter-rater) of FeetMe® Monitor. RESULTS: Through all gait analysis sequences, the inter-device ICCs were >0.95 for velocity, stride length, and cadence. Ranges of inter-device ICCs were [0.77-0.94] for stance duration for both limbs, and for swing duration [0.32-0.57] on the non-paretic side and [0.75-0.90] on the paretic side. Test-retest and inter-rater ICCs for all parameters were >0.73 for one single stride, >0.88 for 8-m trials and >0.94 for three 8-m trials. CONCLUSION: FeetMe® Monitor is an accurate and reliable system for measurement of gait velocity, stride length, cadence, and stance duration in chronic hemiparesis.


Asunto(s)
Ortesis del Pié , Análisis de la Marcha/instrumentación , Monitoreo Fisiológico/instrumentación , Accidente Cerebrovascular/fisiopatología , Accidente Cerebrovascular/terapia , Velocidad al Caminar/fisiología , Adulto , Anciano , Anciano de 80 o más Años , Femenino , Humanos , Masculino , Persona de Mediana Edad , Paresia/etiología , Paresia/fisiopatología , Paresia/rehabilitación , Estudios Prospectivos , Reproducibilidad de los Resultados , Accidente Cerebrovascular/complicaciones , Adulto Joven
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