Publications

  • Fiedler, P.; Graichen, U.; Zimmer, E.; Haueisen, J. Simultaneous Dry and Gel-Based High-Density Electroencephalography Recordings. Sensors 2023, 23, 9745. https://doi.org/10.3390/s23249745Download
  • Warsito IF, Komosar M, Bernhard MA, Fiedler P, Haueisen J. Flower electrodes for comfortable dry electroencephalography. Sci Rep. 2023 Oct 3;13(1):16589. doi: 10.1038/s41598-023-42732-8. PMID: 37789022; PMCID: PMC10547758. Download
  • Wang X, Trabatti C, Weeke L, Dudink J, de Veye HS, Eijsermans RM, Koopman-Esseboom C, Benders MJ, Tataranno ML. Early qualitative and quantitative amplitude-integrated electroencephalogram and raw electroencephalogram for predicting long-term neurodevelopmental outcomes in extremely preterm infants in the Netherlands: a 10-year cohort study. The Lancet Digital Health. 2023 Dec 1;5(12):e895-904. https://doi.org/10.1016/S2589-7500(23)00198-X Download
  • Wang X, de Groot ER, Tataranno ML, van Baar A, Lammertink F, Alderliesten T, Long X, Benders MJ, Dudink J. Machine learning-derived active sleep as an early predictor of white matter development in preterm infants. Journal of Neuroscience. 2023 Nov 1. https://doi.org/10.1523/JNEUROSCI.1024-23.2023  
  • Tim Hermans, Mohammad Khazaei, Khadijeh Raeisi Nafchi, Pierpaolo Croce, Gabriella Tamburro, Anneleen Dereymaeker, Maarten De Vos, Filippo Zappasodi and Silvia Comani (2023) Microstate analysis reflects maturation of the preterm brain.Brain Topography 2023 (Special Issue: Microstates in EEG/MEG and ERP Research). https://doi.org/10.1007/s10548-023-01008-0. Download
  • Arasteh, E., Veldhoen, E. S., Long, X., van Poppel, M., van der Linden, M., Alderliesten, T., Nijman, J., de Goederen, R., & Dudink, J. (2023). Ultra-Wideband Radar for Simultaneous and Unobtrusive Monitoring of Respiratory and Heart Rates in Early Childhood: A Deep Transfer Learning Approach. Sensors, 23(18). https://doi.org/10.3390/s23187665Download
  • Mohammad Khazaei, Khadijeh Raeisi, Sampsa Vanhatalo, Filippo Zappasodi, Silvia Comani, Anton Tokariev (2023) Neonatal cortical activity organizes into transient network states that are affected by vigilance states and brain injury. NeuroImage 279 (2023) 120342. https://doi.org/10.1016/j.neuroimage.2023.120342. Download
  • Wang X, Borovac A, van den Hoogen A, Tataranno ML, Benders MJ, Dudink J. Nurses’ experiences and perspectives on aEEG monitoring in neonatal care: A qualitative study. Journal of Neonatal Nursing. 2023 Aug 22. https://doi.org/10.1016/j.jnn.2023.08.003 Download
  • Khadijeh Raeisi, Mohammad Khazaei, Gabriella Tamburro, Pierpaolo Croce, Silvia Comani and Filippo Zappasodi (2023) A class-imbalance aware and explainable spatio-temporal graph attention network for neonatal seizure detection. International Journal of Neural Systems, 33(9): 2350046. https://doi.org/10.1142/S0129065723500466. Download
  • N. Hakimi et al., "Heart rate extraction from neonatal near-infrared spectroscopy signals," in IEEE Transactions on Instrumentation and Measurement, https://doi.org/10.1109/TIM.2023.3295015. Download
  • Arasteh, E., de Groot, E. R., van den Ende, D., Alderliesten, T., Long, X., de Goederen, R., Benders, M., & Dudink, J. (2023). Unobtrusive cot side sleep stage classification in preterm infants using ultra-wideband radar. Frontiers in Sleep, 2. https://doi.org/10.3389/frsle.2023.1150962Download
  • Hakimi N, Shahbakhti M, Horschig JM, Alderliesten T, Van Bel F, Colier WNJM, Dudink J. Respiratory Rate Extraction from Neonatal Near-Infrared Spectroscopy Signals. Sensors. 2023; 23(9):4487. https://doi.org/10.3390/s23094487Download
  • Shahbakhti M, Hakimi N, Horschig JM, Floor-Westerdijk M, Claassen J, Colier WNJM. Estimation of Respiratory Rate during Biking with a Single Sensor Functional Near-Infrared Spectroscopy (fNIRS) System. Sensors. 2023; 23(7):3632. https://doi.org/10.3390/s23073632Download
  • Fiedler P, Haueisen J, Alvarez AMC, Cheron G, Cuesta P, Maestú F, et al. (2023) Noise characteristics in spaceflight multichannel EEG. PLoS ONE 18(2): e0280822. https://doi.org/10.1371/journal.pone.0280822Download
  • T. Hermans et al., “A multi-task and multi-channel convolutional neural network for semi-supervised neonatal artefact detection,” Journal of Neural Engineering, Feb. 2023, doi: 10.1088/1741-2552/acbc4b Download
  • T. Hermans et al., “Partial wavelet coherence as a robust method for assessment of neurovascular coupling in neonates with hypoxic ischemic encephalopathy,” Scientific Reports, vol. 13, no. 1, Jan. 2023, doi: 10.1038/s41598-022-27275-8. Download
  • Wang, X., Bik, A., de Groot, E. R., Tataranno, M. L., Benders, M. J. N. L., & Dudink, J. (2022). Feasibility of automated early postnatal sleep staging in extremely and very preterm neonates using dual-channel EEG. Clinical Neurophysiology, 146, 55–64. https://doi.org/10.1016/j.clinph.2022.11.018Download
  • Ng, C.R.; Fiedler, P.; Kuhlmann, L.; Liley, D.; Vasconcelos, B.; Fonseca, C.; Tamburro, G.; Comani, S.; Lui, T.K.-Y.; Tse, C.-Y.; et al. Multi-Center Evaluation of Gel-Based and Dry Multipin EEG Caps. Sensors 2022, 22, 8079. https://doi.org/10.3390/s22208079Download
  • Sentner T*, Wang X*, de Groot ER, van Schaijk L, Tataranno ML, Vijlbrief DC, Benders MJ, Bartels R, Dudink J. The Sleep Well Baby project: an automated real-time sleep–wake state prediction algorithm in preterm infants. Sleep. 2022 Oct 1;45(10):zsac143. [*These authors contributed equally and are shared first authors] https://doi.org/10.1093/sleep/zsac143 Download
  • Wang X, Bik A, de Groot ER, Tataranno ML, Benders MJ, Dudink J. Feasibility of automated early postnatal sleep staging in extremely and very preterm neonates using dual-channel EEG. Clinical Neurophysiology. 2023 Feb 1;146:55-64. https://doi.org/10.1016/j.clinph.2022.11.018
  • Hakimi N, Shahbakhti M, Sappia S, Horschig JM, Bronkhorst M, Floor-Westerdijk M, Valenza G, Dudink J, Colier WNJM. Estimation of Respiratory Rate from Functional Near-Infrared Spectroscopy (fNIRS): A New Perspective on Respiratory Interference. Biosensors. 2022; 12(12):1170. https://doi.org/10.3390/bios12121170Download
  • Laura Angelini, Gabriella Tamburro, Francesca Lionetti, Maria Spinelli, Silvia Comani, Filippo Zappasodi, Mirco Fasolo, Tiziana Aureli (2023) Alpha and theta brain activity in 9 month-old infants during a live referential gaze paradigm. Psychophysiology, 60(3), e14198 (ISSN: 0048-5772; eISSN:1469-898). https://doi.org/10.1111/psyp.14198Download
  • Saeed Montazeri Moghadam, Päivi Nevalainen, Nathan J. Stevenson, Sampsa Vanhatalo, Sleep State Trend (SST), a bedside measure of neonatal sleep state fluctuations based on single EEG channels, Clinical Neurophysiology, Volume 143, 2022, Pages 75-83, ISSN 1388-2457, https://doi.org/10.1016/j.clinph.2022.08.022. Download
  • Borovac, A., Runarsson, T. P., Thorvardsson, G., & Gudmundsson, S. (2022). Neonatal seizure detection algorithms: The effect of channel count. Current Directions in Biomedical Engineering, 8(2), 604–607. https://doi.org/10.1515/cdbme-2022-1154
  • Failla, A., Filatovaite, L., Wang, X., Vanhatalo, S., Dudink, J., de Vries, L. S., Benders, M., Stevenson, N., & Tataranno, M. L. (2022). The relationship between interhemispheric synchrony, morphine and microstructural development of the corpus callosum in extremely preterm infants. Human Brain Mapping, 43(16), 4914–4923. https://doi.org/10.1002/hbm.26040 Download
  • Tamburro G, Jansen K, Lemmens K, Dereymaeker A, Naulaers G, De Vos M, Comani S. 2022. Automated detection and removal of flat line segments and large amplitude fluctuations in neonatal electroencephalography. PeerJ 10:e13734 DOI 10.7717/peerj.13734 Download
  • Khadijeh Raeisi, Mohammad Khazaei, Pierpaolo Croce, Gabriella Tamburro, Silvia Comani, Filippo Zappasodi, "A graph convolutional neural network for the automated detection of seizures in the neonatal EEG". In Computer Methods and Programs in Biomedicine, Volume 222, 2022, 106950, ISSN 0169-2607, https://doi.org/10.1016/j.cmpb.2022.106950. Download
  • de Groot, E. R., Bik, A., Sam, C., Wang, X., Shellhaas, R. A., Austin, T., Tataranno, M. L., Benders, M. J. N. L., van den Hoogen, A., & Dudink, J. (2022). Creating an optimal observational sleep stage classification system for very and extremely preterm infants. Sleep Medicine, 90, 167–175. https://doi.org/10.1016/j.sleep.2022.01.020Download
  • Bik, A., Sam, C., de Groot, E. R., Visser, S. S. M., Wang, X., Tataranno, M. L., Benders, M. J. N. L., van den Hoogen, A., & Dudink, J. (2022). A scoping review of behavioral sleep stage classification methods for preterm infants. Sleep Medicine, 90, 74–82. https://doi.org/10.1016/j.sleep.2022.01.006Download
  • T. Hermans et al., “Functional brain maturation and sleep organisation in neonates with congenital heart disease,” European Journal of Paediatric Neurology, vol. 36, pp. 115–122, Jan. 2022, doi: 10.1016/j.ejpn.2021.12.008. Download
  • Vasconcelos, B.; Fiedler, P.; Machts, R.; Haueisen, J.; Fonseca, C.: The Arch Electrode: "A Novel Dry Electrode Concept for Improved Wearing Comfort." Frontiers in Neuroscience, 2021, 15:748100 Download
  • Fiedler, P.; Fonseca, C.; Supriyanto, E.; Zanow, F.; Haueisen, J.: "A high-density 256-channel cap for dry electroencephalography"; Human Brain Mapping, 2021, 1-14. Download
  • Indhika Fauzhan Warsito, Rene Machts, Stefan Griebel, Patrique Fiedler, Jens Haueisen: “Influence of silver/silver chloride electroless plating on the Shore hardness of polyurethane substrates for dry EEG electrodes”. Current Directions of Biomedical Eng., accepted.
  • Tamburro, G.; Croce, P.; Zappasodi, F.; Comani, S. "Automated Detection and Removal of Cardiac and Pulse Interferences from Neonatal EEG Signals". Sensors 2021, 21, 6364. https://doi.org/10.3390/s21196364Download
  • Costa, F.G.; Hakimi, N.; Van Bel, F. “Neuroprotection of the Perinatal Brain by Early Information of Cerebral Oxygenation and Perfusion Patterns”. Int. J. Mol. Sci. 2021, 22, 5389. https://doi.org/10.3390/ijms22105389Download
  • Moghadam, S. M., Pinchefsky, E., Tse, I., Marchi, V., Kohonen, J., Kauppila, M., Airaksinen, M., Tapani, K., Nevalainen, P., Hahn, C., Tam, E., Stevenson, N. J., & Vanhatalo, S. (2021). Building an Open Source ClassifierfortheNeonatal EEG Background: A Systematic Feature-Based Approach From Expert Scoring to Clinical Visualization. Frontiers in human neuroscience, 15, 675154. https://doi.org/10.3389/fnhum.2021.675154Download
  • Tamburro G, Croce P, Zappasodi F and Comani S (2021) "Is Brain Dynamics Preserved in the EEG After Automated Artifact Removal? A Validation of the Fingerprint Method and the Automatic Removal of Cardiac Interference Approach Based on Microstate Analysis", Front. Neurosci. 14:577160. doi: 10.3389/fnins.2020.577160 Download
  • Khazaei M, Raeisi K, Croce P, Tamburro G, Tokariev A, Vanhatalo S, Zappasodi F, Comani S. "Characterization of the Functional Dynamics in the Neonatal Brain during REM and NREM Sleep States by means of Microstate Analysis", Brain Topogr. 2021 Jul 13. doi: 10.1007/s10548-021-00861-1 Download
  • de Groot, E. R., Knoop, M. S., van den Hoogen, A., Wang, X., Long, X., Pillen, S., Benders, M., & Dudink, J. (2021). The value of cardiorespiratory parameters for sleep state classification in preterm infants: A systematic review. Sleep Medicine Reviews, 58. https://doi.org/10.1016/j.smrv.2021.101462Download
  • Kleuskens DG, Gonçalves Costa F, Annink KV, van den Hoogen A, Alderliesten T, Groenendaal F, Benders MJN, Dudink J. Pathophysiology of Cerebral Hyperperfusion in Term Neonates With Hypoxic-Ischemic Encephalopathy: A Systematic Review for Future Research. Front Pediatr. 2021 Feb 2;9:631258. doi: 10.3389/fped.2021.631258 Download
  • Lavanga M, Heremans E, Moeyersons J, Bollen B, Jansen K, Ortibus E, Naulaers G, Van Huffel S and Caicedo A (2021), "Maturation of the Autonomic Nervous System in Premature Infants: Estimating Development Based on Heart-Rate Variability Analysis", Front. Physiol. 11:581250. doi: 10.3389/fphys.2020.581250. Download
  • De Wel, O., Van Huffel, S., Lavanga, M. et al., "Relationship Between Early Functional and Structural Brain Developments and Brain Injury in Preterm Infants", Cerebellum (2021). https://doi.org/10.1007/s12311-021-01232-z. Download
  • Warsito, I. F., Hunold, A., Haueisen, J., & Supriyanto, E. (2020). “Performance Evaluation of Capacitive Based Force Sensor for Electroencephalography Head Caps”. International Journal on Robotics, Automation and Sciences, 2, 4-8. doi: 10.33093/ijoras.2020.2.1Download
  • Lavanga, Marioa,*; Bollen, Biekeb; Caicedo, Alexanderc; Dereymaeker, Anneleenb; Jansen, Katrienb; Ortibus, Elsb; Van Huffel, Sabinea; Naulaers, Gunnarb, "The effect of early procedural pain in preterm infants on the maturation of EEG and heart rate variability", PAIN: October 26, 2020 - Volume Articles in Press - Issue - doi: 10.1097/j.pain.0000000000002125. Download
  • Lavanga M, Bollen B, Jansen K, Ortibus E, Naulaers G, Van Huffel S and Caicedo A (2020), "A Bradycardia-Based Stress Calculator for the Neonatal Intensive Care Unit: A Multisystem Approach", Front. Physiol. 11:741. doi: 10.3389/fphys.2020.00741. Download
  • Lavanga, Mario & Smets, Laura & Bollen, Bieke & Jansen, Katrien & Ortibus, Els & Huffel, Sabine & Naulaers, Gunnar & Caicedo, Alexander. (2020), "A perinatal stress calculator for the neonatal intensive care unit: an unobtrusive approach", Physiological Measurement. 41. 10.1088/1361-6579/ab9b66. Download
  • M. Sofía Sappia, Naser Hakimi, Willy N. J. M. Colier, and Jörn M. Horschig, "Signal quality index: an algorithm for quantitative assessment of functional near infrared spectroscopy signal quality", Biomed. Opt. Express 11, 6732-6754 (2020). Download
  • Ansari, Amir H. & De Wel, Ofelie & Pillay, Kirubin & Dereymaeker, Anneleen & Jansen, Katrien & Huffel, Sabine & Naulaers, Gunnar & de Vos, Maarten. (2019), "A convolutional neural network outperforming state-of-the-art sleep staging algorithms for both preterm and term infants", Journal of Neural Engineering. 17. 10.1088/1741-2552/ab5469. Download
  • Hendrikx D, Smits A, Lavanga M, et al. "Measurement of Neurovascular Coupling in Neonates", Frontiers in Physiology. 2019 ;10:65. DOI: 10.3389/fphys.2019.00065. Download
  • U. Graichen, R. Eichardt, J. Haueisen, "SpharaPy: A Python toolbox for spatial harmonic analysis of nonuniformly sampled data", SoftwareX, Vol. 10, 2019. more, Download