Zobrazeno 1 - 10
of 11
pro vyhledávání: '"Reham Badawy"'
Autor:
Diane Stephenson, Robert Alexander, Varun Aggarwal, Reham Badawy, Lisa Bain, Roopal Bhatnagar, Bastiaan R. Bloem, Babak Boroojerdi, Jackson Burton, Jesse M. Cedarbaum, Josh Cosman, David T. Dexter, Marissa Dockendorf, E. Ray Dorsey, Ariel V. Dowling, Luc J. W. Evers, Katherine Fisher, Mark Frasier, Luis Garcia-Gancedo, Jennifer C. Goldsack, Derek Hill, Janice Hitchcock, Michele T. Hu, Michael P. Lawton, Susan J. Lee, Michael Lindemann, Ken Marek, Nitin Mehrotra, Marjan J. Meinders, Michael Minchik, Lauren Oliva, Klaus Romero, George Roussos, Robert Rubens, Sakshi Sadar, Joseph Scheeren, Eiichi Sengoku, Tanya Simuni, Glenn Stebbins, Kirsten I. Taylor, Beatrice Yang, Neta Zach
Publikováno v:
Digital Biomarkers, Vol 4, Iss 1, Pp 28-49 (2020)
Innovative tools are urgently needed to accelerate the evaluation and subsequent approval of novel treatments that may slow, halt, or reverse the relentless progression of Parkinson disease (PD). Therapies that intervene early in the disease continuu
Externí odkaz:
https://doaj.org/article/02833b80db5e4df4916766e3401c1666
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
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
Publikováno v:
Benha Veterinary Medical Journal. 43:1-5
Digital Progression Biomarkers as Novel Endpoints in Clinical Trials: A Multistakeholder Perspective
Publikováno v:
Journal of Parkinson's Disease
The burden of Parkinson’s disease (PD) continues to grow at an unsustainable pace particularly given that it now represents the fastest growing brain disease. Despite seminal discoveries in genetics and pathogenesis, people living with PD oftentime
Autor:
Michael Lindemann, Robert Alexander, Babak Boroojerdi, Jackson Burton, Marissa F. Dockendorf, Lisa J. Bain, Jesse M. Cedarbaum, George Roussos, Eiichi Sengoku, Joseph Scheeren, Kirsten I. Taylor, Diane Stephenson, Klaus Romero, Nitin Mehrotra, Josh Cosman, Beatrice T. Yang, Robert Rubens, Varun Aggarwal, Marjan J. Meinders, Janice Hitchcock, Ariel V. Dowling, Mark Frasier, Tanya Simuni, Neta Zach, Ken Marek, Sakshi Sadar, Jennifer C. Goldsack, Michele T.M. Hu, Katherine J. Fisher, Michael P. Lawton, Derek L. G. Hill, David T. Dexter, Reham Badawy, Luis Garcia-Gancedo, Luc J.W. Evers, Bastiaan R. Bloem, Michael Minchik, Glenn T. Stebbins, Roopal Bhatnagar, E. Ray Dorsey, Lauren Oliva, Susan J. Lee
Publikováno v:
Digital Biomarkers, 4, 28-49
Digital Biomarkers, Vol 4, Iss 1, Pp 28-49 (2020)
Digital Biomarkers, 4, 1, pp. 28-49
Digit Biomark
Digital Biomarkers, Vol 4, Iss 1, Pp 28-49 (2020)
Digital Biomarkers, 4, 1, pp. 28-49
Digit Biomark
Contains fulltext : 229477.pdf (Publisher’s version ) (Open Access) Innovative tools are urgently needed to accelerate the evaluation and subsequent approval of novel treatments that may slow, halt, or reverse the relentless progression of Parkinso
Autor:
Max A. Little, Yordan P. Raykov, Marjan J. Meinders, Reham Badawy, Luc J.W. Evers, Tom Heskes, Bastiaan R. Bloem, Kasper Claes
Publikováno v:
IEEE Journal of Biomedical and Health Informatics, 25, 6, pp. 2293-2304
IEEE Journal of Biomedical and Health Informatics, 25, 2293-2304
IEEE Journal of Biomedical and Health Informatics, 25, 2293-2304
Passive monitoring in daily life may provide invaluable insights about a person's health throughout the day. Wearable sensor devices are likely to play a key role in enabling such monitoring in a non-obtrusive fashion. However, sensor data collected
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)
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
https://publications.aston.ac.uk/id/eprint/41970/1/pdf.pdf
Autor:
Luc JW Evers, Yordan P Raykov, Jesse H Krijthe, Ana Lígia Silva de Lima, Reham Badawy, Kasper Claes, Tom M Heskes, Max A Little, Marjan J Meinders, Bastiaan R Bloem
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_________::a46bd9ec12cf0018ff4cdf2b938ae8b4
https://doi.org/10.2196/preprints.19068
https://doi.org/10.2196/preprints.19068
Autor:
Max A. Little, Amir Hossein Poorjam, Yordan P. Raykov, Mads Grasboll Christensen, Reham Badawy, Jesper Jensen
Publikováno v:
ICASSP
Alavijeh, A H P, Raykov, Y P, Badawy, R, Jensen, J R, Christensen, M G & Little, M A 2019, Quality Control of Voice Recordings in Remote Parkinson's Disease Monitoring using the Infinite Hidden Markov Model . in 2019 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2019-Proceedings ., 8682523, IEEE, I E E E International Conference on Acoustics, Speech and Signal Processing. Proceedings, pp. 805-809, 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Brighton, United Kingdom, 12/05/2019 . https://doi.org/10.1109/ICASSP.2019.8682523
Alavijeh, A H P, Raykov, Y P, Badawy, R, Jensen, J R, Christensen, M G & Little, M A 2019, Quality Control of Voice Recordings in Remote Parkinson's Disease Monitoring using the Infinite Hidden Markov Model . in 2019 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2019-Proceedings ., 8682523, IEEE, I E E E International Conference on Acoustics, Speech and Signal Processing. Proceedings, pp. 805-809, 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Brighton, United Kingdom, 12/05/2019 . https://doi.org/10.1109/ICASSP.2019.8682523
The performance of voice-based systems for remote monitoring of Parkinson's disease is highly dependent on the degree of adherence of the recordings to the test protocols, which probe for specific symptoms. Identifying segments of the signal that adh