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Willemijn Groenendaal
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2020 – today
- 2024
- [j13]Melanie Schoutteten
, Lucas Lindeboom
The Feasibility of Semi-Continuous and Multi-Frequency Thoracic Bioimpedance Measurements by a Wearable Device during Fluid Changes in Hemodialysis Patients. Sensors 24(6): 1890 (2024) - [c14]John F. Morales
Validation of a Novel Wearable Device to Estimate Heart Rate Variability and Cardiorespiratory Indexes. MeMeA 2024: 1-6 - 2023
- [c13]Dolores Blanco-Almazán, John F. Morales, Willemijn Groenendaal, Francky Catthoor, Raimon Jané:
Wearable ECG-Derived Respiration Performance for Respiratory Monitoring with a Non-Standard ECG Lead. CinC 2023: 1-4 - [c12]Thomas T. Kok, Willemijn Groenendaal, Dolores Blanco-Almazán, Lien Lijnen, Christophe Smeets, David Ruttens, John F. Morales, Tom Dhaene, Femke Ongenae, Sofie Van Hoecke, Dirk Deschrijver:
Comparator Model for Detecting Changes in the Ease of Breathing of COPD Patients. KDH@IJCAI 2023 - 2022
- [j12]Daniel Romero
Predicting 6-minute walking test outcomes in patients with chronic obstructive pulmonary disease without physical performance measures. Comput. Methods Programs Biomed. 225: 107020 (2022) - [j11]Dolores Blanco-Almazán
Breathing Pattern Estimation Using Wearable Bioimpedance for Assessing COPD Severity. IEEE J. Biomed. Health Informatics 26(12): 5983-5991 (2022) - [c11]Yolanda Castillo-Escario, Lorin Werthen-Brabants
Convolutional Neural Networks for Apnea Detection from Smartphone Audio Signals: Effect of Window Size. EMBC 2022: 666-669 - [c10]Dolores Blanco-Almazán
The Effect of Walking on the Estimation of Breathing Pattern Parameters using Wearable Bioimpedance. EMBC 2022: 3257-3260 - 2021
- [j10]Jonathan Moeyersons
Artefact Detection in Impedance Pneumography Signals: A Machine Learning Approach. Sensors 21(8): 2613 (2021) - [j9]Dolores Blanco-Almazán
Combining Bioimpedance and Myographic Signals for the Assessment of COPD During Loaded Breathing. IEEE Trans. Biomed. Eng. 68(1): 298-307 (2021) - [c9]Andrejs Fedjajevs
Evaluation of HRV from Repeated Measurements of PPG and Arterial Blood Pressure Signals. CinC 2021: 1-4 - [c8]Andrea Rozo
Controlled Breathing Effect on Respiration Quality Assessment Using Machine Learning Approaches. CinC 2021: 1-4 - [c7]Dolores Blanco-Almazán
Detection of Respiratory Phases to Estimate Breathing Pattern Parameters using Wearable Bioimpendace. EMBC 2021: 5508-5511 - 2020
- [j8]Hélène De Cannière
Wearable Monitoring and Interpretable Machine Learning Can Objectively Track Progression in Patients during Cardiac Rehabilitation. Sensors 20(12): 3601 (2020) - [j7]Andrejs Fedjajevs
Platform for Analysis and Labeling of Medical Time Series. Sensors 20(24): 7302 (2020) - [j6]Tom Van Steenkiste
Portable Detection of Apnea and Hypopnea Events Using Bio-Impedance of the Chest and Deep Learning. IEEE J. Biomed. Health Informatics 24(9): 2589-2598 (2020) - [c6]Dolores Blanco-Almazán
Relationship Between Heart Rate Recovery and Disease Severity in Chronic Obstructive Pulmonary Disease Patients. CinC 2020: 1-4 - [c5]Daniel Romero, Dolores Blanco-Almazán
Cardiac Comorbidities in COPD Patients Explained Through HRV and Respiratory Indices. CinC 2020: 1-4
2010 – 2019
- 2019
- [j5]Dolores Blanco-Almazán
Wearable Bioimpedance Measurement for Respiratory Monitoring During Inspiratory Loading. IEEE Access 7: 89487-89496 (2019) - [j4]Yifan Zhang, Shuang Song, Rik Vullings
Motion Artifact Reduction for Wrist-Worn Photoplethysmograph Sensors Based on Different Wavelengths. Sensors 19(3): 673 (2019) - [j3]Tom Van Steenkiste
Automated Sleep Apnea Detection in Raw Respiratory Signals Using Long Short-Term Memory Neural Networks. IEEE J. Biomed. Health Informatics 23(6): 2354-2364 (2019) - [c4]Federico Corradi
Real Time Electrocardiogram Annotation with a Long Short Term Memory Neural Network. BioCAS 2019: 1-4 - [c3]Hélène De Cannière, John F. Morales, Carolina Varon, Christophe Smeets, Melanie Schoutteten, Chris Van Hoof
The Progression of Heart Rate Variability Parameters Throughout Cardiac Rehabilitation. CinC 2019: 1-4 - [c2]Dolores Blanco-Almazán
Analysis of Time Delay between Bioimpedance and Respiratory Volume Signals under Inspiratory Loaded Breathing. EMBC 2019: 2365-2368 - 2018
- [j2]Anup Das
Unsupervised heart-rate estimation in wearables with Liquid states and a probabilistic readout. Neural Networks 99: 134-147 (2018) - [c1]Tom Van Steenkiste, Willemijn Groenendaal, Joeri Ruyssinck, Pauline Dreesen, Susie Klerkx, Christophe Smeets, Ruben de Francisco, Dirk Deschrijver
Systematic Comparison of Respiratory Signals for the Automated Detection of Sleep Apnea. EMBC 2018: 449-452 - 2017
- [i1]Anup Das, Paruthi Pradhapan, Willemijn Groenendaal, Prathyusha Adiraju, Raj Thilak Rajan, Francky Catthoor, Siebren Schaafsma, Jeffrey L. Krichmar, Nikil D. Dutt, Chris Van Hoof:
Unsupervised Heart-rate Estimation in Wearables With Liquid States and A Probabilistic Readout. CoRR abs/1708.05356 (2017) - 2015
- [j1]Willemijn Groenendaal, Francis A. Ortega, Armen R. Kherlopian, Andrew C. Zygmunt, Trine Krogh-Madsen, David J. Christini
Cell-Specific Cardiac Electrophysiology Models. PLoS Comput. Biol. 11(4) (2015)
Coauthor Index
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