Freezing of Gait (FoG) is a common symptom in Parkinson's Disease (PD) occurring with significant variability and severity and is associated with increased risk of falls. FoG detection in everyday life is not trivial, particularly in patients manifesting the symptom only in specific conditions. Various wearable devices have been proposed to detect PD symptoms, primarily based on inertial sensors. We here report the results of the validation of a novel system based on a pair of pressure insoles equipped with a 3D accelerometer to detect FoG episodes. Twenty PD patients attended a motor assessment protocol organized into eight multiple video recorded sessions, both in clinical and ecological settings and both in the ON and OFF state. We compared the FoG episodes detected using the processed data gathered from the insoles with those tagged by a clinician on video recordings. The algorithm correctly detected 90% of the episodes. The false positive rate was 6% and the false negative rate 4%. The algorithm reliably detects freezing of gait in clinical settings while performing ecological tasks. This result is promising for freezing of gait detection in everyday life via wearable instrumented insoles that can be integrated into a more complex system for comprehensive motor symptom monitoring in PD.


    Access

    Download


    Export, share and cite



    Title :

    Foot Pressure Wearable Sensors for Freezing of Gait Detection in Parkinson’s Disease



    Publication date :

    2020-01-01



    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English



    Classification :

    DDC:    629



    Foot Pressure Wearable Sensors for Freezing of Gait Detection in Parkinson’s Disease

    Marcante A / Di Marco R / Gentile G et al. | BASE | 2021

    Free access

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

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

    Free access


    Towards a wearable system for predicting the freezing of gait in people affected by Parkinson's disease

    Demrozi, Florenc / Bacchin, Ruggero / Tamburin, Stefano et al. | BASE | 2019

    Free access

    Gait Parameters Change Prior to Freezing in Parkinson's Disease: A Data-Driven Study with Wearable Inertial Units

    Maria Laura Ferster / Sinziana Mazilu / Gerhard Tröster | DOAJ | 2015

    Free access