A5022466380- Criminal Law and Policy
- Multiple Sclerosis Research Studies
- Medical and Health Sciences Research
- Neurological disorders and treatments
- Parkinson's Disease Mechanisms and Treatments
- Healthcare Decision-Making and Restraints
- Genetic Neurodegenerative Diseases
- Criminal Law and Evidence
- Neuroscience and Neural Engineering
- Autoimmune and Inflammatory Disorders Research
- Law and Political Science
- Autism Spectrum Disorder Research
- Psychopathy, Forensic Psychiatry, Sexual Offending
- European Criminal Justice and Data Protection
- Public Administration and Political Analysis
- German Literature and Culture Studies
- Electric and Hybrid Vehicle Technologies
- Voice and Speech Disorders
- Biomedical and Chemical Research
- German Security and Defense Policies
- Digitalization, Law, and Regulation
- Balance, Gait, and Falls Prevention
- Health Systems, Economic Evaluations, Quality of Life
- Assistive Technology in Communication and Mobility
- Advanced Combustion Engine Technologies
Bielefeld University
2005-2025
Roche (Switzerland)
2016-2025
University of Alaska Anchorage
2023-2024
La Roche College
2024
McGill University
2024
Institut Pasteur
2024
Roche (Bosnia-Herzegovina)
2024
HTW Berlin - University of Applied Sciences
2016-2022
Heinrich Heine University Düsseldorf
2009-2022
Düsseldorf University Hospital
2022
Aggregated α-synuclein plays an important role in the pathogenesis of Parkinson’s disease. The monoclonal antibody prasinezumab, directed at aggregated α-synuclein, is being studied for its effect on
Ubiquitous digital technologies such as smartphone sensors promise to fundamentally change biomedical research and treatment monitoring in neurological diseases PD, creating a new domain of biomarkers.The present study assessed the feasibility, reliability, validity smartphone-based biomarkers PD clinical trial setting.During 6-month, phase 1b with 44 Parkinson participants, an independent, 45-day 35 age-matched healthy controls, participants completed six daily motor active tests (sustained...
Background Current clinical assessments of people with multiple sclerosis are episodic and may miss critical features functional fluctuations between visits. Objective The goal the research was to assess feasibility remote active testing passive monitoring using smartphones smartwatch technology in respect adherence satisfaction FLOODLIGHT test battery. Methods People (aged 20 57 years; Expanded Disability Status Scale 0-5.5; n=76) healthy controls (n=25) performed battery, comprising tests...
Background: Sensor-based monitoring tools fill a critical gap in multiple sclerosis (MS) research and clinical care. Objective: The aim of this study is to assess performance characteristics the Floodlight Proof-of-Concept (PoC) app. Methods: In 24-week (clinicaltrials.gov: NCT02952911), smartphone-based active tests passive assessed cognition (electronic Symbol Digit Modalities Test), upper extremity function (Pinching Test, Draw Shape gait balance (Static Balance U-Turn Walk Passive...
Abstract Digital health technologies enable remote and therefore frequent measurement of motor signs, potentially providing reliable valid estimates sign severity progression in Parkinson’s disease (PD). The Roche PD Mobile Application v2 was developed to measure bradykinesia, bradyphrenia speech, tremor, gait balance. It comprises 10 smartphone active tests (with ½ administered daily), as well daily passive monitoring via a smartwatch. studied 316 early-stage participants who performed at...
Abstract Floodlight Open was a global, open-access, digital-only study designed to understand the drivers and barriers in deployment use of smartphone app naturalistic setting broad population people with without multiple sclerosis (MS). The utilised app: ‘bring-your-own-device’ solution that remotely measures user’s mood, cognition, hand motor function, gait postural stability via sensor-based tests requiring active user input (‘active tests’). Levels mobility participants (‘life-space...
The tremors of Parkinson's disease (PD) and essential tremor (ET) are traditionally considered to depend on a central oscillator producing rhythmic activation the motoneurones all extremities. To test this hypothesis, we have compared electromyographic activity in different muscles affected limbs using cross spectral analysis, including coherence phase. Surface recordings from both arms, legs, neck were analyzed 22 patients with PD 28 ET. Volume conduction between neighboring artificial...
Digital health technology tools (DHTT) are technologies such as apps, smartphones, and wearables that remotely acquire health-related information from individuals. They have the potential advantages of objectivity sensitivity measurement, richness high-frequency sensor data, opportunity for passive collection data. Thus, DHTTs promise to provide patient phenotyping at an order granularity several times greater than is possible with traditional clinical research tools. While conceptual...
Objective: Parkinson's disease (PD) is a neurodegenerative disorder that affects multiple neurological systems. Traditional PD assessment conducted by physician during infrequent clinic visits. Using smartphones, remote patient monitoring has the potential to obtain objective behavioral data semi-continuously, track fluctuations, and avoid rater dependency. Methods: Smartphones collect sensor various active tests passive monitoring, including balance (postural instability), dexterity (skill...
Smartphone-based assessments have been considered a potential solution to passively monitor gait and mobility in early-stage Parkinson's disease (PD) patients. In the Multiple Ascending Dose clinical trial of PRX002/RG7935, 44 PD patients 35 age-and gender-matched healthy individuals performed smartphone-based for up 24 weeks 6 respectively. For "passive monitoring", subjects carried smartphone with them as part their daily routine, while sensors recording movement data continuously. total,...
Leveraging consumer technology such as smartphone and smartwatch devices to objectively assess people with multiple sclerosis (PwMS) remotely could capture unique aspects of disease progression. This study explores the feasibility assessing PwMS Healthy Control's (HC) physical function by characterising gaitrelated features, which can be modelled using machine learning (ML) techniques correctly distinguish subgroups from healthy controls. A total 97 subjects (24 HC subjects, 52 mildly...
Background: Mobility assessment is essential for monitoring disease progression in people with multiple sclerosis (PwMS). Technologies such as wearable sensors show potential this purpose, but consensus needed to optimize collection and interpretation of digital measures PwMS. Objective: To propose a framework measuring interpreting key aspects impaired gait PwMS using smartphone worn at the waist level. Methods: The was developed on basis clinical understanding knowledge sensor signal...
Background Floodlight Open is a global, open-access, fully remote, digital-only study designed to understand the drivers and barriers in deployment persistence of use smartphone app for measuring functional impairment naturalistic setting broad population. Objective This aims assess measurement equivalence properties across operating system (OS) platforms, OS versions, device models. Methods enrolled adult participants with without self-declared multiple sclerosis (MS). The used app,...
Smartphone devices may enable out-of-clinic assessments in chronic neurological diseases. We describe the Draw a Shape (DaS) Test, smartphone-based and remotely administered test of Upper Extremity (UE) function developed for people with multiple sclerosis (PwMS). This work introduces DaS-related features that characterise UE impairment, aims to demonstrate how multivariate modelling these metrics can reliably predict 9-Hole Peg Test (9HPT), clinician-administered assessment PwMS.The DaS...
Background Remote monitoring of Huntington disease (HD) signs and symptoms using digital technologies may enhance early clinical diagnosis tracking progression, guide treatment decisions, monitor response to disease-modifying agents. Several recent studies in neurodegenerative diseases have demonstrated the feasibility symptom monitoring. Objective The aim this study was evaluate a novel smartwatch- smartphone-based platform remotely HD. Methods This analysis aimed determine reliability...
Avoidance to look others in the eye is a characteristic symptom of Autism Spectrum Disorders (ASD), and it has been hypothesised that quantitative monitoring gaze patterns could be useful objectively evaluate treatments. However, tools measure behaviour on regular basis at manageable cost are missing. In this paper, we investigated whether smartphone-based tool address problem. Specifically, assessed accuracy with which phone-based, state-of-the-art eye-tracking algorithm iTracker can...