Myotonic dystrophy type 1 (DM1) is a genetic inherited autosomal dominant disease characterized by multisystem involvement, including muscle, heart, brain, eye, and endocrine system. Although several methods are available to evaluate muscle strength, endurance, and dexterity, there are no validated outcome measures aimed at objectively evaluating qualitative and quantitative gait alterations. Advantageously, wearable sensing technology has been successfully adopted in objectifying the assessment of motor disabilities in different medical occurrences, so that here we consider the adoption of such technology specifically for DM1. In particular, we measured motor tasks through inertial measurement units on a cohort of 13 DM1 patients and 11 healthy control counterparts. The motor tasks consisted of 16 meters of walking both at a comfortable speed and fast pace. Measured data consisted of plantar-flexion and dorsi-flexion angles assumed by both ankles, so to objectively evidence the footdrop behavior of the DM1 disease, and to define a novel severity index, termed SI-Norm2, to rate the grade of walking impairments. According to the obtained results, our approach could be useful for a more precise stratification of DM1 patients, providing a new tool for a personalized rehabilitation approach.


    Access

    Download


    Export, share and cite



    Title :

    Objective assessment of walking impairments in myotonic dystrophy by means of a wearable technology and a novel severity index


    Contributors:
    Saggio G. (author) / Manoni A. (author) / Errico V. (author) / Frezza E. (author) / Mazzetta I. (author) / Rota R. (author) / Massa R. (author) / Irrera F. (author) / Saggio, G. / Manoni, A.

    Publication date :

    2021-01-01



    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English



    Classification :

    DDC:    629



    Reply to “Meiotic drive and myotonic dystrophy”

    Carey, Nessa / Johnson, Keith / Nokelainen, Pekka et al. | Nature Publishing Group | 1995


    A NOVEL SOFT WEARABLE EXOSKELETON FOR WALKING ASSISTANCE

    Biniyam Menegistu | BASE | 2022

    Free access

    Navigating blind people with walking impairments using a smart walker

    Wachaja, A. | British Library Online Contents | 2017


    Traffic accident severity prediction using a novel multi-objective genetic algorithm

    Hashmienejad, Seyed Hessam-Allah / Hasheminejad, Seyed Mohammad Hossein | Taylor & Francis Verlag | 2017


    Design of a wearable interface for lightweight robotic arm for people with mobility impairments

    LISINI BALDI, TOMMASO / SPAGNOLETTI, GIOVANNI / M. DRAGUSANU et al. | BASE | 2017

    Free access