Prediction of freezing of gait in Parkinson’s disease based on wearable sensors
Objective: The purpose of this study was to introduce an autoregressive predictive model to improve the accuracy for freezing of gait (FOG) prediction. Background: Parkinson’s…Speech, gait and vestibular instrumental assessment in CANVAS: a case series.
Objective: To describe through a systematic clinical-instrumental approach speech, gait and vestibular alterations in cerebellar ataxia with neuropathy and vestibular areflexia syndrome (CANVAS). Background: CANVAS…Combination of clinical and gait measures to classify fallers and non-fallers in Parkinson’s disease
Objective: To identify clinical and objective gait measures that best discriminate fallers from non-fallers in Parkinson’s disease (PD), with suggestions of optimal cutoff scores Background:…Using wearable wireless technology to understand the natural history of adrenomyeloneuropathy in both clinic and home settings: 1-year follow-up in the CYGNET study
Objective: To assess the feasibility of using wearable wireless motion sensors to quantify disease progression in men with adrenomyeloneuropathy (AMN) enrolled in the CYGNET natural…A Novel Real Time Algorithm to Predict Freezing of Gait in Parkinson’s Patients Using Wearable Mobility Sensors Data
Objective: To develop an algorithm for real-time Freezing of gait (FOG) prediction based on the online monitoring of the stepping coherence. Background: FOG is a…Motor phenotype and disease burden among Parkinson’s disease patients of Addis Ababa, Ethiopia.
Objective: This study aims to characterize the motor phenotype of Parkinson’s disease (PD), compare disease severity and to determine quality of life among the different…Fingolimod-responsive complex hyperkinetic movement disorder in neuromyelitis optica spectrum disorder
Objective: Highlight a complex hyperkinetic movement disorder in Neuromyelitis optica spectrum disorder exacerbation with remission on fingolimod therapy. Background: Neuromyelitis optica spectrum disorder (NMOSD) can…Measuring what matters in Parkinson’s disease – validating real-world digital mobility outcomes for widespread adoption
Objective: To validate and support widespread adoption of real-world digital mobility outcomes (DMOs) to monitor mobility performance, disease progression and predict falls in patients with…Turning during single and dual tasking in Parkinson’s Disease
Objective: To investigate turning kinematics and intersegmental coordination in single (ST) and dual tasking (DT) in Parkinson’s Disease (PD) patients. Background: Successful turning depends on…Relationship between falls and motor state in Parkinson’s disease patients with motor fluctuations
Objective: To elucidate in which motor state Parkinson’s disease (PD) patients with motor fluctuations fall. Background: Recurrent falls are a disabling feature of PD and…
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