Zobrazeno 1 - 10
of 65
pro vyhledávání: '"Johannes P., Van Dijk"'
Autor:
Jeremy Saal, Maarten Christiaan Ottenhoff, Pieter L. Kubben, Albert J. Colon, Sophocles Goulis, Johannes P. van Dijk, Dean J. Krusienski, Christian Herff
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-7 (2023)
Abstract Automatic wheelchairs directly controlled by brain activity could provide autonomy to severely paralyzed individuals. Current approaches mostly rely on non-invasive measures of brain activity and translate individual commands into wheelchair
Externí odkaz:
https://doaj.org/article/58a9422ef7664a97b2f4eaf325fb5d29
Autor:
Maarten C. Ottenhoff, Maxime Verwoert, Sophocles Goulis, Albert J. Colon, Louis Wagner, Simon Tousseyn, Johannes P. van Dijk, Pieter L. Kubben, Christian Herff
Publikováno v:
Frontiers in Neuroscience, Vol 17 (2023)
Using brain activity directly as input for assistive tool control can circumventmuscular dysfunction and increase functional independence for physically impaired people. The motor cortex is commonly targeted for recordings, while growing evidence sho
Externí odkaz:
https://doaj.org/article/395ab56392e8455fbb2c23169f87134c
Autor:
Maxime Verwoert, Maarten C. Ottenhoff, Sophocles Goulis, Albert J. Colon, Louis Wagner, Simon Tousseyn, Johannes P. van Dijk, Pieter L. Kubben, Christian Herff
Publikováno v:
Scientific Data, Vol 9, Iss 1, Pp 1-9 (2022)
Measurement(s) Brain activity Technology Type(s) Stereotactic electroencephalography Sample Characteristic - Organism Homo sapiens Sample Characteristic - Environment Epilepsy monitoring center Sample Characteristic - Location The Netherlands
Externí odkaz:
https://doaj.org/article/ff5d7cfd6ce04fbc8115af2dafb8ed21
Publikováno v:
Diagnostics, Vol 13, Iss 13, p 2146 (2023)
Background: Sleep apnea is a prevalent sleep-disordered breathing (SDB) condition that affects a large population worldwide. Research has demonstrated the potential of using electrocardiographic (ECG) signals (heart rate and ECG-derived respiration,
Externí odkaz:
https://doaj.org/article/fc96731dd3ec476b8be6f46f544a50d8
Autor:
Fokke B. van Meulen, Angela Grassi, Leonie van den Heuvel, Sebastiaan Overeem, Merel M. van Gilst, Johannes P. van Dijk, Henning Maass, Mark J. H. van Gastel, Pedro Fonseca
Publikováno v:
Bioengineering, Vol 10, Iss 1, p 109 (2023)
Polysomnography (PSG) remains the gold standard for sleep monitoring but is obtrusive in nature. Advances in camera sensor technology and data analysis techniques enable contactless monitoring of heart rate variability (HRV). In turn, this may allow
Externí odkaz:
https://doaj.org/article/e0e359cec8b54e48a9232bcdd40dafa1
Autor:
Dirk J. J. Sweere, Johan J. M. Pel, Marlou J. G. Kooiker, Johannes P. van Dijk, Elizabeth J. J. M. van Gemert, Petra P. M. Hurks, Sylvia Klinkenberg, R. Jeroen Vermeulen, Jos G. M. Hendriksen
Publikováno v:
Brain Sciences, Vol 12, Iss 10, p 1369 (2022)
This study aims to investigate distractibility quantified by recording and analyzing eye movements during task-irrelevant distraction in children with and without ADHD and in children with and without neurological disorders. Gaze behavior data and pr
Externí odkaz:
https://doaj.org/article/bc188bd2c9df4f6fa5acff546088b417
Autor:
Sebastiaan Overeem, Merel M van Gilst, Johannes P van Dijk, Roy Krijn, Bertram Hoondert, Pedro Fonseca, Ruud J G van Sloun, Bruno Arsenali, Nele Vandenbussche, Sigrid Pillen, Henning Maass, Leonie van den Heuvel, Reinder Haakma, Tim R Leufkens, Coen Lauwerijssen, Jan W M Bergmans, Dirk Pevernagie
Publikováno v:
BMJ Open, Vol 9, Iss 11 (2019)
Introduction Polysomnography (PSG) is the primary tool for sleep monitoring and the diagnosis of sleep disorders. Recent advances in signal analysis make it possible to reveal more information from this rich data source. Furthermore, many innovative
Externí odkaz:
https://doaj.org/article/8d7a1d9c4d30413d97f56b8cf27633ed
Publikováno v:
Diagnostics; Volume 13; Issue 13; Pages: 2146
Background: Sleep apnea is a prevalent sleep-disordered breathing (SDB) condition that affects a large population worldwide. Research has demonstrated the potential of using electrocardiographic (ECG) signals (heart rate and ECG-derived respiration,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=multidiscipl::3a724215fded9329d55a902e66bfbe53
Autor:
Valentina Barone, Maria Carla Piastra, Johannes P. van Dijk, Gerhard H. Visser, Mariette H.J.A. Debeij-van Hall, Michel J.A.M. van Putten
Publikováno v:
Clinical Neurophysiology.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::043fb6d6712f67e99bf54908d5dca9dd
https://doi.org/10.1016/j.clinph.2023.05.007
https://doi.org/10.1016/j.clinph.2023.05.007
Autor:
Elisabetta Peri, Lin Xu, Christian Ciccarelli, Nele L. Vandenbussche, Hongji Xu, Xi Long, Sebastiaan Overeem, Johannes P. van Dijk, Massimo Mischi
Publikováno v:
Sensors, Vol 21, Iss 2, p 573 (2021)
A new algorithm based on singular value decomposition (SVD) to remove cardiac contamination from trunk electromyography (EMG) is proposed. Its performance is compared to currently available algorithms at different signal-to-noise ratios (SNRs). The a
Externí odkaz:
https://doaj.org/article/e0b9b85994724ac29727787a71ef7c35