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willemijn groenendaal
willemijn groenendaal
Imec the Netherlands
Verified email at imec.nl
Title
Cited by
Cited by
Year
Cell-specific cardiac electrophysiology models
W Groenendaal, FA Ortega, AR Kherlopian, AC Zygmunt, ...
PLoS computational biology 11 (4), e1004242, 2015
872015
Quantifying the composition of human skin for glucose sensor development
W Groenendaal, G Von Basum, KA Schmidt, PAJ Hilbers, NAW van Riel
Journal of diabetes science and technology 4 (5), 1032-1040, 2010
682010
Motion artifact reduction for wrist-worn photoplethysmograph sensors based on different wavelengths
Y Zhang, S Song, R Vullings, D Biswas, N Simões-Capela, ...
Sensors 19 (3), 673, 2019
672019
Automated sleep apnea detection in raw respiratory signals using long short-term memory neural networks
T Van Steenkiste, W Groenendaal, D Deschrijver, T Dhaene
IEEE journal of biomedical and health informatics 23 (6), 2354-2364, 2018
582018
Unsupervised heart-rate estimation in wearables with Liquid states and a probabilistic readout
A Das, P Pradhapan, W Groenendaal, P Adiraju, RT Rajan, F Catthoor, ...
Neural Networks 99, 134-147, 2018
512018
Modeling glucose and water dynamics in human skin
W Groenendaal, KA Schmidt, G Von Basum, NAW Van Riel, PAJ Hilbers
Diabetes technology & therapeutics 10 (4), 283-293, 2008
362008
Differential roles of two delayed rectifier potassium currents in regulation of ventricular action potential duration and arrhythmia susceptibility
RA Devenyi, FA Ortega, W Groenendaal, T Krogh‐Madsen, DJ Christini, ...
The Journal of physiology 595 (7), 2301-2317, 2017
332017
Voltage and calcium dynamics both underlie cellular alternans in cardiac myocytes
W Groenendaal, FA Ortega, T Krogh-Madsen, DJ Christini
Biophysical journal 106 (10), 2222-2232, 2014
292014
Wearable Bioimpedance Measurement for Respiratory Monitoring During Inspiratory Loading
D Blanco-Almazán, W Groenendaal, F Catthoor, R Jané
IEEE Access 7, 89487-89496, 2019
262019
Combined in vivo and in silico investigations of activation of glycolysis in contracting skeletal muscle
JPJ Schmitz, W Groenendaal, B Wessels, RW Wiseman, PAJ Hilbers, ...
American Journal of Physiology-Cell Physiology 304 (2), C180-C193, 2013
212013
Portable detection of apnea and hypopnea events using bio-impedance of the chest and deep learning
T Van Steenkiste, W Groenendaal, P Dreesen, S Lee, S Klerkx, ...
IEEE Journal of Biomedical and Health Informatics 24 (9), 2589-2598, 2020
182020
Computational modelling identifies the impact of subtle anatomical variations between amphibian and mammalian skeletal muscle on spatiotemporal calcium dynamics
W Groenendaal, JAL Jeneson, PJ Verhoog, NAW Van Riel, ...
IET systems biology 2 (6), 411-422, 2008
152008
Chest Movement and Respiratory Volume both Contribute to Thoracic Bioimpedance during Loaded Breathing
D Blanco-Almazán, W Groenendaal, F Catthoor, R Jané
Scientific Reports 9 (1), 1-11, 2019
142019
Combining bioimpedance and myographic signals for the assessment of COPD during loaded breathing
D Blanco-Almazan, W Groenendaal, M Lozano-Garcia, ...
IEEE Transactions on Biomedical Engineering 68 (1), 298-307, 2020
112020
The Added Value of In-Hospital Tracking of the Efficacy of Decongestion Therapy and Prognostic Value of a Wearable Thoracic Impedance Sensor in Acutely Decompensated Heart …
CJP Smeets, S Lee, W Groenendaal, G Squillace, J Vranken, ...
JMIR cardio 4 (1), e12141, 2020
112020
Systematic Comparison of Respiratory Signals for the Automated Detection of Sleep Apnea
T Van Steenkiste, W Groenendaal, J Ruyssinck, P Dreesen, S Klerkx, ...
2018 40th Annual International Conference of the IEEE Engineering in …, 2018
112018
Wearable Monitoring and Interpretable Machine Learning Can Objectively Track Progression in Patients during Cardiac Rehabilitation
H De Cannière, F Corradi, CJP Smeets, M Schoutteten, C Varon, ...
Sensors 20 (12), 3601, 2020
102020
Using Biosensors and Digital Biomarkers to Assess Response to Cardiac Rehabilitation: Observational Study
H De Cannière, CJP Smeets, M Schoutteten, C Varon, C Van Hoof, ...
Journal of Medical Internet Research 22 (5), e17326, 2020
62020
Artefact Detection in Impedance Pneumography Signals: A Machine Learning Approach
J Moeyersons, J Morales, N Seeuws, C Van Hoof, E Hermeling, ...
Sensors 21 (8), 2613, 2021
52021
Towards personalized fluid monitoring in haemodialysis patients: thoracic bioimpedance signal shows strong correlation with fluid changes, a cohort study
MK Schoutteten, J Vranken, S Lee, CJP Smeets, H De Cannière, ...
BMC Nephrology 21 (1), 1-9, 2020
32020
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