A Tracking Task for Quantifying Loss of Motor Skills due to Parkinson’s Disease

This paper investigated if a pursuit tracking task could be used to quantify the loss of motor skills due to Parkinson's disease (PD) by using system identification methods. A human-in-the-loop experiment consisting of PD patients and a healthy age-gender matched control group was conducted at the Erasmus University Medical Center. A pursuit...

Smart product for the interactive use with Augmented Reality glasses to improve Parkinson’s disease assessment.

This project in combination with the ‘technology in motion’ project at the faculty of technology, management and policy (TBM) focusses on the assessment of people with Parkinson’s disease (PD). The goal of the project was to motivate people with PD that are often above the age of 55 years, to make certain arm movements with their effected limb....

Machine-learning pipelines for classification of pathological tremor patients: A proof-of-concept

Parkinson’s Disease (PD), Essential tremor (ET), and dystonia are movement disorders often misdiagnosed as one another and commonly present tremor as one of their motor symptoms. Rates of misdiagnosis between 30 and 50% of ET patients have been reported, where dystonia and PD are the most common missed diagnoses. Additionally, up to 50% of...

Improve the mobility of a tremor suppression mechanism for the next generation of anti-tremor orthosis to be marketed in ~2024: Redesigning an anti-tremor orthosis for increased wrist mobility

People who suffer from tremor, experience uncontrollable, involuntary movements. Depending on the underlaying cause, these movements occur during rest, or simultaneous with voluntary movements. <br/>STIL is a YES!Delft based, med-tech startup that is developing a non-invasive, anti-tremor orthosis that helps people with tremors in their upper...

Finding biological markers for Parkinson's disease: Using machine learning to analyse metagenomic data

Parkinson's disease (PD) is a neurodegenerative disorder characterized by motor function loss and potential mental and behavioral changes. The identification of biomarkers in the gut microbiota of PD patients can significantly aid in fast and accurate diagnosis. This study investigates the application of machine learning (ML) models, including...