The accurate and reliable assessment of gait parameters is assuming an important role, especially in the perspective of designing new therapeutic and rehabilitation strategies for the remote follow‐up of people affected by disabling neurological diseases, including Parkinson’s disease and post‐stroke injuries, in particular considering how gait represents a fundamental motor activity for the autonomy, domestic or otherwise, and the health of neurological patients. To this end, the study presents an easy‐to‐use and non‐invasive solution, based on a single RGB‐D sensor, to estimate specific features of gait patterns on a reduced walking path compatible with the available spaces in domestic settings. Traditional spatio‐temporal parameters and features linked to dynamic instability during walking are estimated on a cohort of ten parkinsonian and eleven post‐stroke subjects using a custom‐written software that works on the result of a body‐tracking algorithm. Then, they are compared with the “gold standard” 3D instrumented gait analysis system. The statistical analysis confirms no statistical difference between the two systems. Data also indicate that the RGB‐D system is able to estimate features of gait patterns in pathological individuals and differences between them in line with other studies. Although they are preliminary, the results suggest that this solution could be clinically helpful in evolutionary disease monitoring, especially in domestic and unsupervised environments where traditional gait analysis is not usable.


    Zugriff

    Download


    Exportieren, teilen und zitieren



    Titel :

    Computation of Gait Parameters in Post Stroke and Parkinson’s Disease: A Comparative Study Using RGB‐D Sensors and Optoelectronic Systems


    Beteiligte:
    Cimolin V. (Autor:in) / Vismara L. (Autor:in) / Ferraris C. (Autor:in) / Amprimo G. (Autor:in) / Pettiti G. (Autor:in) / Lopez R. (Autor:in) / Galli M. (Autor:in) / Cremascoli R. (Autor:in) / Sinagra S. (Autor:in) / Mauro A. (Autor:in)

    Erscheinungsdatum :

    2022-01-01



    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Klassifikation :

    DDC:    629





    Monitoring of Gait Parameters in Post-Stroke Individuals: A Feasibility Study Using RGB-D Sensors

    Claudia Ferraris / Veronica Cimolin / Luca Vismara et al. | BASE | 2021

    Freier Zugriff

    Monitoring of gait parameters in post-stroke individuals: A feasibility study using rgb-d sensors

    Ferraris C. / Cimolin V. / Vismara L. et al. | BASE | 2021

    Freier Zugriff

    Assessing Gait in Parkinson's Disease Using Wearable Motion Sensors: A Systematic Review

    Brognara, Lorenzo / Palumbo, Pierpaolo / Grimm, Bernd et al. | BASE | 2019

    Freier Zugriff