Metadata Framework to Support Deployment of Digital Health Technologies in Clinical Trials in Parkinson’s Disease

Autor: Derek L. Hill, Diane Stephenson, Jordan Brayanov, Kasper Claes, Reham Badawy, Sakshi Sardar, Katherine Fisher, Susan J. Lee, Anthony Bannon, George Roussos, Tairmae Kangarloo, Viktorija Terebaite, Martijn L. T. M. Müller, Roopal Bhatnagar, Jamie L. Adams, E. Ray Dorsey, Josh Cosman

Publikováno v: Sensors, Vol 22, Iss 6, p 2136 (2022)

Sensor data from digital health technologies (DHTs) used in clinical trials provides a valuable source of information, because of the possibility to combine datasets from different studies, to combine it with other data types, and to reuse it multipl

Externí odkaz: https://doaj.org/article/ac5573163f6e4dee8e9be0e3c5b270ec

Automated Quality Control for Sensor Based Symptom Measurement Performed Outside the Lab

Autor: Reham Badawy, Yordan P. Raykov, Luc J. W. Evers, Bastiaan R. Bloem, Marjan J. Faber, Andong Zhan, Kasper Claes, Max A. Little

Publikováno v: Sensors, Vol 18, Iss 4, p 1215 (2018)

The use of wearable sensing technology for objective, non-invasive and remote clinimetric testing of symptoms has considerable potential. However, the accuracy achievable with such technology is highly reliant on separating the useful from irrelevant

Externí odkaz: https://doaj.org/article/a915275af962408ba33060cce20a7d41

Automated Epileptic Seizure Detection Based on Wearable ECG and PPG in a Hospital Environment

Autor: Kaat Vandecasteele, Thomas De Cooman, Ying Gu, Evy Cleeren, Kasper Claes, Wim Van Paesschen, Sabine Van Huffel, Borbála Hunyadi

Publikováno v: Sensors, Vol 17, Iss 10, p 2338 (2017)

Electrocardiography has added value to automatically detect seizures in temporal lobe epilepsy (TLE) patients. The wired hospital system is not suited for a long-term seizure detection system at home. To address this need, the performance of two wear

Externí odkaz: https://doaj.org/article/ed1a9ab3cf6d4d77983b9e65b8be0115

Detecting Tonic-Clonic Seizures in Multimodal Biosignal Data From Wearables: Methodology Design and Validation (Preprint)

Autor: Sebastian Böttcher, Elisa Bruno, Nikolay V Manyakov, Nino Epitashvili, Kasper Claes, Martin Glasstetter, Sarah Thorpe, Simon Lees, Matthias Dümpelmann, Kristof Van Laerhoven, Mark P Richardson, Andreas Schulze-Bonhage, Phil The RADAR-CNS Consortium

BACKGROUND Video electroencephalography recordings, routinely used in epilepsy monitoring units, are the gold standard for monitoring epileptic seizures. However, monitoring is also needed in the day-to-day lives of people with epilepsy, where video

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::96af59d897aa3ffaa9f216212508b46c
https://doi.org/10.2196/preprints.27674

Real-Life Gait Performance as a Digital Biomarker for Motor Fluctuations: The Parkinson@Home Validation Study

Autor: Marjan J. Meinders, Ana Lígia Silva de Lima, Reham Badawy, Yordan P. Raykov, Bastiaan R. Bloem, Kasper Claes, Max A. Little, Luc J.W. Evers, Tom Heskes, Jesse H. Krijthe

Publikováno v: Journal of Medical Internet Research, 22, 10, pp. 1-18
Journal of Medical Internet Research
Journal of Medical Internet Research, 22, 1-18
Journal of Medical Internet Research, Vol 22, Iss 10, p e19068 (2020)

Background Wearable sensors have been used successfully to characterize bradykinetic gait in patients with Parkinson disease (PD), but most studies to date have been conducted in highly controlled laboratory environments. Objective This paper aims to

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e80086490cd0d9edf6a315117b6ae12e
https://publications.aston.ac.uk/id/eprint/41970/1/pdf.pdf