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A Novel Smart Wearable: for Parkinson’s Disease

Ponsioen, Stijn (author)

In the dynamic realm of medical technology, innovation to improve the lives of those with chronic conditions like Parkinson's Disease (PD) is paramount. This graduation report represents the culmination of a project aiming to address prevalent symptoms in individuals with PD.</p> <p class="MsoNormal">Client and Objective:</p...

master thesis 2024

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The Value of Tractography: Towards More Accurate Targeting in Deep Brain Stimulation?

Zwinkels, Anouk (author)

<b>Introduction</b>: Deep brain stimulation (DBS) is an important therapeutic option for various neurological diseases. For certain indications the optimal target cannot be identified on structural magnetic resonance imaging (MRI), but can be visualized with tractography. A recent improvement for clinical practice is the probabilistic...

master thesis 2023

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Prediction of the optimal deep brain stimulation contacts based on local field potentials measured by the implanted neurostimulator in Parkinson’s disease

Muller, Marjolein (author)

Introduction: Over the past two decades deep brain stimulation (DBS) has emerged as an important therapeutic option for Parkinson’s disease (PD). However, the current DBS programming method, monopolar review (MPR), is time-consuming, requires highly trained personnel and causes discomfort for patients. This study aimed to predict the optimal...

master thesis 2023

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

Koning, Marilotte (author)

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...

bachelor thesis 2023

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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

De Reus, Bob (author)

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...

master thesis 2023

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The effect of cardiovascular risk on disease progression in de novo Parkinson's disease patients: An observational analysis

Oosterwegel, Max J. (author), Krijthe, J.H. (author), den Brok, Melina G.H.E. (author), van den Heuvel, Lieneke (author), Richard, Edo (author), Heskes, Tom (author), Bloem, Bastiaan R. (author), Evers, Luc J.W. (author)

Background: Currently available treatment options for Parkinson's disease are symptomatic and do not alter the course of the disease. Recent studies have raised the possibility that cardiovascular risk management may slow the progression of the disease. Objectives: We estimated the effect of baseline cardiovascular risk factors on the...

journal article 2023

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Monitoring symptom progression in Parkinson’s Disease using Least Squares Support Vector Regression

den Hertog, Koen (author)

Parkinson’s Disease is a neurodegenerative disease that has a decline in motor behaviour as one of its main symptoms. This decline is currently monitored using subjective measures, such as questionnaires and clinical observations. More detailed and objective tracking of this decline can improve treatment of the disease and allow for earlier...

master thesis 2022

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Exploring persistent homology as a method for capturing functional connectivity differences in Parkinson’s Disease

Hulst, Naomi (author)

Parkinson’s Disease (PD) is the fastest growing neurodegenerative disease, currently affecting two to three percent of the population over 65. Studying functional connectivity (FC) in PD patients may provide new insights into how the disease alters brain organization in different subjects. We explored persistent homology (PH) as a method for...

master thesis 2022

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A novel virtual reality glove system with integrated vibro-tactile feedback for Parkinson’s disease: a usability study

van Wegen, Myla (author)

Parkinson’s Disease (PD) is one of the most common neuro-degenerative diseases worldwide, affecting patients’ ability to perform Activities of Daily Living (ADL), such as cooking and dressing, and consequently decreasing Quality of Life (QoL). Most ADL require dexterous skills which are often impaired in PD. Pharmacological therapy is often not...

master thesis 2022

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Correcting Differential Gene Expression Analysis for Cyto—Architectural Alterations in Substantia Nigra of Parkinson’s Disease Patients Reveals Known and Potential Novel Disease—Associated Genes and Pathways

Ferraro, F. (author), Fevga, Christina (author), Bonifati, Vincenzo (author), Mandemakers, Wim (author), Mahfouz, A.M.E.T.A. (author), Reinders, M.J.T. (author)

Several studies have analyzed gene expression profiles in the substantia nigra to better understand the pathological mechanisms causing Parkinson’s disease (PD). However, the concordance between the identified gene signatures in these individual studies was generally low. This might have been caused by a change in cell type composition as loss...

journal article 2022

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Closing the loop: Novel quantitative fMRI approach for manipulation of the sensorimotor loop in tremor

Sharifi, S. (author), Luft, F. (author), de Boer, L. (author), Buijink, A. W.G. (author), Mugge, W. (author), Schouten, A.C. (author), Heida, T. (author), Bour, L. J. (author), van Rootselaar, A. F. (author)

Tremor is thought to be an effect of oscillatory activity within the sensorimotor network. To date, the underlying pathological brain networks are not fully understood. Disentangling tremor activity from voluntary motor output and sensorimotor feedback systems is challenging. To better understand the intrinsic sensorimotor fingerprint...

journal article 2022

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Quantifying Motor Skills in Early-Stage Parkinson's Disease Using Human Controller Modeling

Pool, D.M. (author), de Vries, Rick J. (author), Pel, Johan J.M. (author)

This paper investigates the potential of using a manual pursuit tracking task for quantifying loss of motor skills due to Parkinson's disease (PD), by applying human controller (HC) modeling techniques. With this approach, it is possible to obtain detailed quantitative data on motor performance in terms of control gain, response delay,...

journal article 2022

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Identifying Behavioural Changes due to Parkinson's Disease Progression in Motor Performance Data

Lugtenborg, Lieke A. (author), Pel, Johan J.M. (author), Pool, D.M. (author)

Parkinson's disease (PD) is a progressive nervous system disorder that affects movement. PD has a severely negative impact on the quality of life of patients and their caregivers. The timing of treatment depends, amongst others, on the quantification of patients' motor performance. To date, the resolution used in scaling motor performance is...

journal article 2022

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Density of Patient-Sharing Networks: Impact on the Value of Parkinson Care

Vlaanderen, Floris P. (author), de Man, Yvonne (author), Tanke, Marit A.C. (author), Munneke, Marten (author), Atsma, Femke (author), Meinders, Marjan J. (author), Jeurissen, Patrick P.T. (author), Bloem, Bastiaan R. (author), Krijthe, J.H. (author), Groenewoud, Stef (author)

Background: Optimal care for Parkinson’s disease (PD) requires coordination and collaboration between providers within a complex care network. Individual patients have personalised networks of their own providers, creating a unique informal network of providers who treat (‘share’) the same patient. These ‘patient-sharing networks’ differ in...

journal article 2022

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

Assis de Souza, Alvaro (author)

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...

master thesis 2021

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Identifying Behavioural Changes due to Parkinson’s Disease Progression in Motor Performance Data: Development of a Tool for Monitoring Treatment of Parkinson’s Disease

Lugtenborg, Lieke (author)

Parkinson's disease can severely affect motor performance and impede in executing daily activities. Treatment can greatly improve patients' quality-of-life, however, disease detection and monitoring is still performed subjectively. Quantification of patients' motor performance and its decline due to increasing symptom severity using tracking...

master thesis 2020

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Assessment of Parkinson's Disease Severity from Videos using Deep Architectures

Yin, Z. (author)

Parkinson's disease (PD) diagnosis is based on clinical criteria, i.e. bradykinesia, rest tremor, rigidity, etc. Assessment of the severity of PD symptoms, however, is subject to inter-rater variability. In this paper, we propose a deep learning based automatic PD diagnosis method using videos recorded during the assessment with the Movement...

master thesis 2020

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Development of a Bayesian Decision Tree Model for Task Classification and its Validation on Parkinson’s Disease Patients

Dekker, Melina (author)

Freezing of Gait (FoG) is a debilitating walking problem affecting over 50\% of Parkinson's Disease (PD) patients. Rhythmic cues during FoG can help patients to resume walking. FoG can be detected from lower limb acceleration data, but current detection algorithms lack context, resulting in false positive detection and initiation of cues when...

master thesis 2020

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Distinct cortical activity patterns in Parkinson's disease and essential tremor during a bimanual tapping task

Luft, Frauke (author), Sharifi, Sarvi (author), Mugge, W. (author), Schouten, A.C. (author), Bour, Lo J. (author), Van Rootselaar, Anne Fleur (author), Veltink, Peter H. (author), Heida, Tijtske (author)

Background: Parkinson's disease (PD) and essential tremor (ET) are neurodegenerative diseases characterized by movement deficits. Especially in PD, maintaining cyclic movement can be significantly disturbed due to pathological changes in the basal ganglia and the cerebellum. Providing external cues improves timing of these movements in PD and...

journal article 2020

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Postural control learning dynamics in Parkinson's disease: early improvement with plateau in stability, and continuous progression in flexibility and mobility

Rahmati, Zahra (author), Behzadipour, Saeed (author), Schouten, A.C. (author), Taghizadeh, Ghorban (author), Firoozbakhsh, Keikhosrow (author)

BACKGROUND: Balance training improves postural control in Parkinson's disease (PD). However, a systematic approach for the development of individualized, optimal training programs is still lacking, as the learning dynamics of the postural control in PD, over a training program, are poorly understood. OBJECTIVES: We investigated the learning...

journal article 2020