Although many methods have been developed to detect walking by using body-worn inertial sensors, their performances decline when gait patterns become abnormal, as seen in children with cerebral palsy (CP). The aim of this study was to evaluate if fine-tuning an existing walking bouts (WB) detection algorithm by various thresholds, customized at the individual or group level, could improve WB detection in children with CP and typical development (TD). Twenty children (10 CP, 10 TD) wore 4 inertial sensors on their lower limbs during laboratory and out-laboratory assessments. Features extracted from the gyroscope signals recorded in the laboratory were used to tune thresholds of an existing walking detection algorithm for each participant (individual-based personalization: Indiv) or for each group (population-based customization: Pop). Out-of-laboratory recordings were analyzed for WB detection with three versions of the algorithm (i.e., original fixed thresholds and adapted thresholds based on the Indiv and Pop methods), and the results were compared against video reference data. The clinical impact was assessed by quantifying the effect of WB detection error on the estimated walking speed distribution. The two customized Indiv and Pop methods both improved WB detection (higher, sensitivity, accuracy and precision), with the individual-based personalization showing the best results. Comparison of walking speed distribution obtained with the best of the two methods showed a significant difference for 8 out of 20 participants. The personalized Indiv method excluded non-walking activities that were initially wrongly interpreted as extremely slow walking with the initial method using fixed thresholds. Customized methods, particularly individual-based personalization, appear more efficient to detect WB in daily-life settings.


    Zugriff

    Download


    Exportieren, teilen und zitieren



    Titel :

    A personalized approach to improve walking detection in real-life settings: application to children with cerebral palsy


    Beteiligte:

    Erscheinungsdatum :

    2019-01-01


    Anmerkungen:

    unige:128302
    ISSN: 1424-8220 ; Sensors, vol. 19, no. 23 (2019)


    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Klassifikation :

    DDC:    629



    A Personalized Approach to Improve Walking Detection in Real-Life Settings: Application to Children with Cerebral Palsy.

    Carcreff, L. / Paraschiv-Ionescu, A. / Gerber, C.N. et al. | BASE | 2019

    Freier Zugriff

    A personalized approach to improve walking detection in real-life settings: application to children with cerebral palsy

    Carcreff, Léna / Paraschiv-Ionescu, Anisoara / Gerber, Corinna N et al. | BASE | 2019

    Freier Zugriff

    Walking Speed of Children and Adolescents With Cerebral Palsy: Laboratory Versus Daily Life.

    Carcreff, L. / Gerber, C.N. / Paraschiv-Ionescu, A. et al. | BASE | 2020

    Freier Zugriff

    Walking speed of children and adolescents with cerebral palsy: laboratory versus daily life

    Carcreff, Léna / Gerber, Corinna N / Paraschiv-Ionescu, Anisoara et al. | BASE | 2020

    Freier Zugriff

    Walking speed of children and adolescents with cerebral palsy: laboratory versus daily life

    Carcreff, Léna / Gerber, Corinna N / Paraschiv-Ionescu, Anisoara et al. | BASE | 2020

    Freier Zugriff