2021
DOI: 10.3390/s21020614
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Prediction of Freezing of Gait in Parkinson’s Disease Using Wearables and Machine Learning

Abstract: Freezing of gait (FOG) is one of the most troublesome symptoms of Parkinson’s disease, affecting more than 50% of patients in advanced stages of the disease. Wearable technology has been widely used for its automatic detection, and some papers have been recently published in the direction of its prediction. Such predictions may be used for the administration of cues, in order to prevent the occurrence of gait freezing. The aim of the present study was to propose a wearable system able to catch the typical degr… Show more

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Cited by 87 publications
(61 citation statements)
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References 46 publications
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“…For the window-based evaluation, there was very little difference in model performance for all detection models, across merging thresholds, and a slight difference in performance for prediction models. Model performance was similar to other person-independent FOG detection [ 32 , 46 , 51 , 57 , 58 ] and prediction [ 55 , 59 – 61 ] models in the literature.…”
Section: Discussionsupporting
confidence: 69%
“…For the window-based evaluation, there was very little difference in model performance for all detection models, across merging thresholds, and a slight difference in performance for prediction models. Model performance was similar to other person-independent FOG detection [ 32 , 46 , 51 , 57 , 58 ] and prediction [ 55 , 59 – 61 ] models in the literature.…”
Section: Discussionsupporting
confidence: 69%
“…Advanced gait-assessment techniques processed in this way are also able to predict in which patients FoG may arise based on gait parameters, allowing therapies to be targeted early. 106 …”
Section: Key Associations With Gait Dysfunction In Pdmentioning
confidence: 99%
“…While 90% or greater specificity would be ideal, specificity below this threshold is common in the FOG prediction literature. Specificities of 67.0% [21], 80.25% [44], and recently 86% [45] have been reported.…”
Section: Discussionmentioning
confidence: 99%