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Real-Time Freezing of Gait Prediction and Detection in Parkinson's Disease.
Sensors (Basel)
December 2024
School of Human Kinetics, Faculty of Health Sciences, University of Ottawa, Ottawa, ON K1N 6N5, Canada.
Freezing of gait (FOG) is a walking disturbance that can lead to postural instability, falling, and decreased mobility in people with Parkinson's disease. This research used machine learning to predict and detect FOG episodes from plantar-pressure data and compared the performance of decision tree ensemble classifiers when trained on three different datasets. Dataset 1 ( = 11) was collected in a previous study.
View Article and Find Full Text PDFEvaluating the use of electromyography in UK and European gait laboratories for the assessment of cerebral palsy and other neurological and musculoskeletal conditions.
Gait Posture
December 2024
The Robert Jones and Agnes Hunt Orthopaedic Hospital, NHS Foundation Trust, Oswestry, SY10 7AG, United Kingdom; School of Pharmacy and Bioengineering, Keele University, Guy Hilton Research Centre, Thornburrow Drive, Stoke-on-Trent, ST4 7QB. Electronic address:
Background: Electromyography (EMG) can estimate the magnitude and timing of muscle activation during walking in those with gait disorders. Despite the potential of EMG use in assessment and clinical decision-making, there are reports of declining use of EMG within gait laboratories. Technical and educational barriers to EMG usage in clinics in Italy were recently suggested.
View Article and Find Full Text PDFTo explore trajectories of 12-week adherence to a digital education and exercise therapy for knee and hip osteoarthritis (OA), associations with baseline characteristics, and trajectories of patient-reported outcomes measures (PROMs) up to 1-year follow-up. Retrospective cohort (registry) study. Weekly data on adherence (ie, the percentage of completed activities [exercises, lessons, and quizzes]) were obtained over 12 weeks (n = 14 097).
View Article and Find Full Text PDFAble, willing, and ready for walking.
Eur J Prev Cardiol
December 2024
Department of Public Health and Caring Sciences, Uppsala University, Uppsala Science Park, Uppsala SE-751 83, Sweden.
Patient-Relevant Digital-Motor Outcomes for Clinical Trials in Hereditary Spastic Paraplegia Type 7: A Multicenter PROSPAX Study.
Neurology
December 2024
Division Translational Genomics of Neurodegenerative Diseases (L.B., A.T., D.M., M.S.), Hertie-Institute for Clinical Brain Research and Center for Neurology, and German Center for Neurodegenerative Diseases (DZNE) (L.B., A.T., D.M., K.D.-J., M.S., R.S.), University of Tübingen; Section Computational Sensomotorics (J.S., W.I.), Hertie Institute for Clinical Brain Research; Centre for Integrative Neuroscience (CIN) (J.S., W.I.); Department of Neurodegenerative Diseases (C.K.), Hertie-Institute for Clinical Brain Research and Center for Neurology, University of Tübingen; Center for Neurology and Hertie Institute for Clinical Brain Research (K.D.-J., R.S.), University Hospital Tübingen, Germany; Molecular Medicine (I.R., S.S.), IRCCS Fondazione Stella Maris, Pisa, Italy; Koç University (N.A.B.), Translational Medicine Research Center, KUTTAM-NDAL, Istanbul, Turkey; Sorbonne Université (G.C.), Paris Brain Institute, INSERM, CNRS, APHP, France; Department of Neurology and Center for Translational Neuro- and Behavioral Sciences (D.T.), University Hospital Essen, University of Duisburg-Essen, Germany; Groupe de recherche interdisciplinaire sur les maladies neuromusculaires (GRIMN) (C.G.), Centre intégré universitaire de santé et de services sociaux du Saguenay-Lac-St-Jean; Centre de recherche du Centre intégré universitaire de santé et de services sociaux du Saguenay-Lac-St-Jean (C.G.); Faculté de médecine et des sciences de la santé (C.G.), Université de Sherbrooke, Québec, Canada; Department of Neurology (B.P.C.v.d.W.), Radboud University Medical Center, Nijmegen, the Netherlands; and Division of Neurodegenerative Diseases (R.S.), Department of Neurology, Heidelberg University Hospital, Germany.
Article Synopsis
- The study focuses on identifying valid digital-motor outcome measures using wearable sensors for spastic paraplegia type 7 (SPG7), a common spastic ataxia, aiming to reflect health aspects relevant to patients in early disease stages and suitable for multicenter trials.
- Gait analysis was performed in 65 SPG7 patients and 50 healthy controls, where 18 out of 30 analyzed gait measures effectively discriminated between the two groups, even in mild disease stages.
- Key findings highlighted that specific spatiotemporal variability measures strongly correlate with functional mobility and overall disease severity, indicating their potential as sensitive outcome measures for future trials.
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