A5028496309- Parkinson's Disease Mechanisms and Treatments
- Neurological disorders and treatments
- Balance, Gait, and Falls Prevention
- Muscle activation and electromyography studies
- Voice and Speech Disorders
- Cerebral Palsy and Movement Disorders
- Gait Recognition and Analysis
- Time Series Analysis and Forecasting
- Context-Aware Activity Recognition Systems
- Autism Spectrum Disorder Research
- Assistive Technology in Communication and Mobility
- Gaussian Processes and Bayesian Inference
- Stroke Rehabilitation and Recovery
- Bayesian Methods and Mixture Models
- Indoor and Outdoor Localization Technologies
- Health Systems, Economic Evaluations, Quality of Life
- Advanced Sensor and Energy Harvesting Materials
- Fibromyalgia and Chronic Fatigue Syndrome Research
- Ginkgo biloba and Cashew Applications
- Neural dynamics and brain function
- Diabetic Foot Ulcer Assessment and Management
- Telemedicine and Telehealth Implementation
- Pain Management and Placebo Effect
- Spectroscopy and Chemometric Analyses
- Digital Mental Health Interventions
Radboud University Medical Center
2017-2025
Radboud University Nijmegen
2017-2025
University Medical Center
2019-2025
Dutch Expert Centre for Screening
2021
Erasmus Hospital
2013
Wearable devices can capture objective day-to-day data about Parkinson’s Disease (PD). This study aims to assess the feasibility of implementing wearable technology collect from multiple sensors during daily lives PD patients. The Parkinson@home is an observational, two-cohort (North America, NAM; Netherlands, NL) study. To recruit participants, different strategies were used between sites. Main enrolment criteria self-reported diagnosis PD, possession a smartphone and age≥18 years....
Abstract Background An important challenge in Parkinson's disease research is how to measure progression, ideally at the individual patient level. The MDS‐UPDRS, a clinical assessment of motor and nonmotor impairments, widely used longitudinal studies. However, its ability assess within‐subject changes not well known. objective this study was estimate reliability MDS‐UPDRS when progression under real‐world conditions. Methods Data were obtained from Progression Markers Initiative cohort...
Our understanding of the etiology, pathophysiology, phenotypic diversity, and progression Parkinson's disease has stagnated. Consequently, patients do not receive best care, leading to unnecessary disability, mounting costs for society. The Personalized Parkinson Project (PPP) proposes an unbiased approach biomarker development with multiple biomarkers measured longitudinally. main aims are: (a) perform a set hypothesis-driven analyses on comprehensive dataset, correlating established novel...
Abstract Sensor-based remote monitoring could help better track Parkinson’s disease (PD) progression, and measure patients’ response to putative disease-modifying therapeutic interventions. To be useful, the remotely-collected measurements should valid, reliable, sensitive change, people with PD must engage technology. We developed a smartwatch-based active assessment that enables unsupervised measurement of motor signs PD. Participants early-stage ( N = 388, 64% men, average age 63) wore...
Digital biomarkers that remotely monitor symptoms have the potential to revolutionize outcome assessments in future disease-modifying trials Parkinson's disease (PD), by allowing objective and recurrent measurement of signs collected participant's own living environment. This biomarker field is developing rapidly for assessing motor features PD, but non-motor domain lags behind. Here, we systematically review assess digital under development measuring PD. We also consider relevant...
Background Wearable sensors have been used successfully to characterize bradykinetic gait in patients with Parkinson disease (PD), but most studies date conducted highly controlled laboratory environments. Objective This paper aims assess whether sensor-based analysis of real-life can be objectively and remotely monitor motor fluctuations PD. Methods The Parkinson@Home validation study provides a new reference data set for the development digital biomarkers persons PD daily life....
Digital tools such as wearable sensors may help to monitor Parkinson's disease (PD) in daily life. To optimally achieve the expected benefits, personized care and improved self-management, it is essential understand perspective of both patients healthcare providers.We identified motivations for barriers against monitoring PD symptoms among providers. We also investigated which aspects were considered most important life, benefits limitations expected.Online questionnaires completed by 434...
Objective and continuous monitoring of Parkinson’s disease (PD) tremor in free-living conditions could benefit both individual patient care clinical trials, by overcoming the snapshot nature assessments. To enable robust detection context limited amounts labeled training data, we propose to use prototypical networks, which can embed domain expertise about heterogeneous non-tremor sub-classes. We evaluated our approach using data from Parkinson@Home Validation study, including 8 PD patients...
Motor fluctuations in Parkinson's disease are characterized by unpredictability the timing and duration of dopaminergic therapeutic benefits on symptoms, including bradykinesia rigidity. These significantly impair quality life many patients. However, current clinical evaluation tools not designed for continuous, naturalistic (real-world) symptom monitoring needed to optimize therapy treat fluctuations. Although commercially available wearable motor monitoring, used over multiple days, can...
Females, people with young-onset PD and older individuals, non-white populations are historically underrepresented in clinical Parkinson's disease (PD) research. Furthermore, research traditionally focused predominantly on motor symptoms of PD. Including a representative diverse group also studying non-motor is warranted to better understand heterogeneity generalize findings.This project aimed determine whether, within consecutive series studies performed single center the Netherlands: (1)...
Abstract Smartphones and wearables are widely recognised as the foundation for novel Digital Health Technologies (DHTs) clinical assessment of Parkinson’s disease. Yet, only limited progress has been made towards their regulatory acceptability effective drug development tools. A key barrier in achieving this goal relates to influence a wide range sources variability (SoVs) introduced by measurement processes incorporating DHTs, on ability detect relevant changes PD. This paper introduces...
Physiotherapy for persons with Parkinson's disease (PwPD) could benefit from objective and continuous tracking of physical activity falls in daily life.We designed a remote monitoring system this purpose describe the experiences PwPD physiotherapists who used clinical practice.Twenty-one (15 men) wore sensor necklace to passively record 6 weeks. They also smartphone app self-report activities, (near-)falls medication intake. discussed those data their PD-specialized physiotherapist (n = 9)...
The use of wearable sensing technology for objective, non-invasive and remote clinimetric testing symptoms has considerable potential. However, the accuracy achievable with such is highly reliant on separating useful from irrelevant sensor data. Monitoring patient using digital sensors outside controlled, clinical lab settings creates a variety practical challenges, as recording unexpected user behaviors. These behaviors often violate assumptions protocols, where these protocols are designed...
Passive monitoring in daily life may provide valuable insights into a person's health throughout the day. Wearable sensor devices play key role enabling such non-obtrusive fashion. However, data collected reflect multiple and behavior-related factors together. This creates need for structured principled analysis to produce reliable interpretable predictions that can be used support clinical diagnosis treatment. In this work we develop modelling approach free-living gait (walking) analysis....
One of the promising opportunities digital health is its potential to lead more holistic understandings diseases by interacting with daily life patients and through collection large amounts real-world data. Validating benchmarking indicators disease severity in home setting difficult, however, given number confounders present real world challenges collecting ground truth data home. Here we leverage two datasets collected from Parkinson’s disease, which couples continuous wrist-worn...
Both patients and physicians may choose to delay initiation of dopamine replacement therapy in Parkinson's disease (PD) for various reasons. We used observational data estimate the effect earlier treatment PD. Observational offer a valuable source evidence, complementary controlled trials.We studied Progression Markers Initiative cohort with de novo PD effects duration during first 2 years follow-up, exploiting natural interindividual variation time start treatment. estimated Movement...
Abstract Introduction Motor fluctuations in Parkinson’s disease are characterized by unpredictability the timing and duration of dopaminergic therapeutic benefit on symptoms including bradykinesia rigidity. These significantly impair quality life many patients. However, current clinical evaluation tools not designed for continuous, naturalistic (real-world) symptom monitoring needed to optimize therapy treat fluctuations. Although commercially available wearable motor monitoring, used over...