Mustafa Radha
Mustafa Radha
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Cited by
Cited by
Sleep stage classification with ECG and respiratory effort
P Fonseca, X Long, M Radha, R Haakma, RM Aarts, J Rolink
Physiological measurement 36 (10), 2027, 2015
Validation of photoplethysmography-based sleep staging compared with polysomnography in healthy middle-aged adults
P Fonseca, T Weysen, MS Goelema, EIS Møst, M Radha, ...
Sleep 40 (7), 2017
Sleep stage classification from heart-rate variability using long short-term memory neural networks
M Radha, P Fonseca, A Moreau, M Ross, A Cerny, P Anderer, X Long, ...
Scientific reports 9 (1), 1-11, 2019
Comparison of feature and classifier algorithms for online automatic sleep staging based on a single EEG signal
M Radha, G Garcia-Molina, M Poel, G Tononi
2014 36th Annual International Conference of the IEEE Engineering in …, 2014
Estimating blood pressure trends and the nocturnal dip from photoplethysmography
M Radha, K De Groot, N Rajani, CCP Wong, N Kobold, V Vos, P Fonseca, ...
Physiological measurement 40 (2), 025006, 2019
Lifestyle recommendations for hypertension through rasch-based feasibility modeling
M Radha, MC Willemsen, M Boerhof, WA IJsselsteijn
Proceedings of the 2016 Conference on User Modeling Adaptation and …, 2016
Automatic sleep staging using heart rate variability, body movements, and recurrent neural networks in a sleep disordered population
P Fonseca, MM van Gilst, M Radha, M Ross, A Moreau, A Cerny, ...
Sleep 43 (9), zsaa048, 2020
Arterial path selection to measure pulse wave velocity as a surrogate marker of blood pressure
M Radha, G Zhang, J Gelissen, K de Groot, R Haakma, RM Aarts
Biomedical Physics & Engineering Express 3 (1), 015022, 2017
Mediated interactions and musical expression—A survey
D Reidsma, M Radha, A Nijholt
Digital Da Vinci, 79-98, 2014
Deep learning approach for ECG-based automatic sleep state classification in preterm infants
J Werth, M Radha, P Andriessen, RM Aarts, X Long
Biomedical Signal Processing and Control 56, 101663, 2020
System and method for non-invasive determination of blood pressure dip based on trained prediction models
KTJ De Groot, MG Radha
US Patent App. 16/369,790, 2019
LSTM knowledge transfer for HRV-based sleep staging
M Radha, P Fonseca, M Ross, A Cerny, P Anderer, RM Aarts
arXiv preprint arXiv:1809.06221, 2018
A deep transfer learning approach for wearable sleep stage classification with photoplethysmography
M Radha, P Fonseca, A Moreau, M Ross, A Cerny, P Anderer, X Long, ...
NPJ digital medicine 4 (1), 1-11, 2021
Direct application of an ECG-based sleep staging algorithm on reflective photoplethysmography data decreases performance
MM Van Gilst, BM Wulterkens, P Fonseca, M Radha, M Ross, A Moreau, ...
BMC Research Notes 13 (1), 1-5, 2020
Device and method for monitoring a physiological state of a subject
R Haakma, PM Fonseca, MG Radha
WO Patent WO2016206921A1, 2015
Optical vital signs sensor
JH Gelissen, R Hilbig, AR Hilgers, MG Radha, KTJ De Groot, R Haakma
US Patent App. 16/318,567, 2019
Pulse wave velocity determination, for example for blood pressure monitoring
KTJ De Groot, MG Radha, JH Gelissen, R Haakma
US Patent 10,898,085, 2021
Self-learning verification method for data authenticity
MG Radha, LJF Geurts, MA Hennessy, MT Johnson
US Patent App. 16/870,037, 2020
Method and system for delivering sensory simulation to a user
US Patent App. 16/832,927, 2020
Testing the performance of an electrocardiogram-based sleep staging algorithm using reflective photoplethysmography data in a sleep disordered population
B Wulterkens, MM van Gilst, P Fonseca, MG Radha, M Ross, A Moreau, ...
Journal of Sleep Research 29 (S1), 89-90, 2020
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