A Ballistographic Approach for Continuous and Non-Obtrusive Monitoring of Movement in Neonates
Open accessAbstract
Continuously monitoring body movement in preterm infants can have important clinical applications since changes in movement-patterns can be a significant marker for clinical deteriorations including the onset of sepsis, seizures, and apneas. This paper proposes a system and method to monitor body movement of preterm infants in a clinical environment using ballistography. The ballistographic signal (BSG) is acquired using a thin and a film-like sensor that is placed underneath an infant. Manual annotations based on video-recordings served as a reference standard for identifying movement. We investigated the performance of multiple features, constructed from the BSG waveform, to discriminate movement from no movement based on data acquired from 10 preterm infants. Since routine cardiorespiratory monitoring is prone to movement artifacts, we also compared the application of these features on the simultaneously acquired cardiorespiratory waveforms, i.e., the electrocardiogram, the chest impedance, and the photoplethysmogram. The BSG-based-features consistently outperformed those based on the routinely acquired cardiorespiratory waveforms. The best performing BSG-based feature-the signal instability index-had a mean (standard deviation) effect size of 0.90 (0.06), as measured by the area under the receiver operating curve. The proposed system for monitoring body movement is robust to noise, non-obtrusive, and has high performance in clinical settings.
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Quantifying such measures has potential to provide insight into the role these activities have on physiologic stability, neurodevelopmental, and other short and long term outcomes.
“Quantifying such measures has potential to provide insight into the role these activities have on physiologic stability, neurodevelopmental, and other short and long term outcomes.54”
From Skin-interfaced biosensors for advanced wireless physiological monitoring in neonatal and pediatric intensive-care units (2020) · cites this paper as [54]
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Cites
Permutation Entropy: A Natural Complexity Measure for Time Series
Bandt, C., & Pompe, B. (2002) · Physical Review Letters · doi:10.1103/physrevlett.88.174102 · Cited by 4,899 · see citing works
On a simple algorithm to calculate the 'energy' of a signal
Kaiser, J. F. (2002) · International Conference on Acoustics, Speech, and Signal Processing · doi:10.1109/icassp.1990.115702 · Cited by 1,172 · see citing works
Ballistocardiography and Seismocardiography: A Review of Recent Advances
Inan, O. T., Migeotte, P.-F., Park, K.-S., Etemadi, M., Tavakolian, K., Casanella, R., Zanetti, J., Tank, J., Funtova, I., Prisk, G. K., et al. (2015) · IEEE Journal of Biomedical and Health Informatics · doi:10.1109/jbhi.2014.2361732 · Cited by 775 · see citing works
Wasterlain, C. G. (1990) · Cited by 743 · see citing works
Easily calculable measure for the complexity of spatiotemporal patterns
Kaspar, F., & Schuster, H. G. (1987) · Physical Review A · doi:10.1103/physreva.36.842 · Cited by 504 · see citing works
ElectroMechanical Film (EMFi) — a new multipurpose electret material
Paajanen, M., Lekkala, J. O., & Kirjavainen, K. (2000) · Sensors and Actuators A Physical · doi:10.1016/s0924-4247(99)00269-1 · Cited by 289 · see citing works
Prechtl, H. F. R. (1997) · Early Human Development · doi:10.1016/s0378-3782(97)00088-1 · Cited by 246 · see citing works
Robust ballistocardiogram acquisition for home monitoring
Inan, O. T., Etemadi, M., Wiard, R. M., Giovangrandi, L., & Kovacs, G. T. A. (2009) · Physiological Measurement · doi:10.1088/0967-3334/30/2/005 · Cited by 234 · see citing works
Als, H., Butler, S., Kosta, S., & McAnulty, G. B. (2005) · Mental Retardation and Developmental Disabilities Research Reviews · doi:10.1002/mrdd.20053 · Cited by 195 · see citing works
Ballistocardiography — A method worth revisiting
Giovangrandi, L., Inan, O. T., Wiard, R. M., Etemadi, M., & Kovacs, G. T. A. (2011) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/iembs.2011.6091062 · Cited by 165 · see citing works
Marcroft, C., Khan, A., Embleton, N. D., Trenell, M., & Plötz, T. (2015) · Frontiers in Neurology · doi:10.3389/fneur.2014.00284 · Cited by 146 · see citing works
Predictors of neonatal sepsis in developing countries
WEBER, M. W., Carlin, J. B., GATCHALIAN, S. R., Lehmann, D., Muhe, L. M., & Mulholland, K. (2003) · The Pediatric Infectious Disease Journal · doi:10.1097/01.inf.0000078163.80807.88 · Cited by 145 · see citing works
Smart Jacket Design for Neonatal Monitoring with Wearable Sensors
Bouwstra, S., Chen, W., Feijs, L., & Oetomo, S. B. (2009) · 2009 Sixth International Workshop on Wearable and Implantable Body Sensor Networks · doi:10.1109/bsn.2009.40 · Cited by 129 · see citing works
Self-citationA new algorithm for detecting central apnea in neonates
Lee, H., Rusin, C. G., Lake, D. E., Clark, M., Guin, L. E., Smoot, T., Paget-Brown, A. O., Vergales, B. D., Kattwinkel, J., Moorman, J. R., et al. (2011) · Physiological Measurement · doi:10.1088/0967-3334/33/1/1 · Cited by 119 · see citing works
Holsti, L., GRUNAU, R. E., Oberlander, T. F., & Whitfield, M. F. (2004) · PEDIATRICS · doi:10.1542/peds.114.1.65 · Cited by 115 · see citing works
A Review of Wearable Sensor Systems for Monitoring Body Movements of Neonates
Chen, H., Xue, M., Mei, Z., Oetomo, S. B., & Chen, W. (2016) · Sensors · doi:10.3390/s16122134 · Cited by 107 · see citing works
Unobtrusive sleep state measurements in preterm infants – A review
Werth, J., Atallah, L., Andriessen, P., Long, X., Zwartkruis-Pelgrim, E., & Aarts, R. M. (2016) · Sleep Medicine Reviews · doi:10.1016/j.smrv.2016.03.005 · Cited by 106 · see citing works
Self-citationIatrogenic skin injury in the neonatal intensive care unit
Sardesai, S. R., Kornacka, M. K., Walas, W., & Ramanathan, R. (2011) · The Journal of Maternal-Fetal & Neonatal Medicine · doi:10.3109/14767051003728245 · Cited by 73 · see citing works
Prediction Models for Neonatal Health Care–Associated Sepsis: A Meta-analysis
Verstraete, E. H., Blot, K. Y., Mahieu, L. M., Vogelaers, D., & Blot, S. I. (2015) · PEDIATRICS · doi:10.1542/peds.2014-3226 · Cited by 72 · see citing works
Hoppenbrouwers, T. T., Hodgman, J. E., & Cabal, L. A. (1993) · Pediatric Pulmonology · doi:10.1002/ppul.1950150102 · Cited by 59 · see citing works
Fiore, J. M. D., Martin, R. J., Li, H., Morris, N. J., Carlo, W. A., Finer, N., Walsh, M. C., Jobe, A. H., Caplan, M. S., Polin, R. A., et al. (2017) · The Journal of Pediatrics · doi:10.1016/j.jpeds.2017.01.057 · Cited by 58 · see citing works
Detection of Voltage Envelope Using Prony Analysis–Hilbert Transform Method
Feilat, E. A. (2006) · IEEE Transactions on Power Delivery · doi:10.1109/tpwrd.2006.881983 · Cited by 55 · see citing works
Promoting and Protecting Infant Sleep
Allen, K. A. (2012) · Advances in Neonatal Care · doi:10.1097/anc.0b013e3182653899 · Cited by 54 · see citing works
Ballistocardiography in sitting and horizontal positions
Alametsä, J., Viik, J., Alakare, J., Värri, A. O., & Palomäki, A. (2008) · Physiological Measurement · doi:10.1088/0967-3334/29/9/006 · Cited by 45 · see citing works
Multi-channel optical sensor-array for measuring ballistocardiograms and respiratory activity in bed
Brüser, C., Kerekes, A., Winter, S., & Leonhardt, S. K. (2012) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/embc.2012.6347126 · Cited by 44 · see citing works
Zupanc, M. L. (2004) · Pediatric Clinics of North America · doi:10.1016/j.pcl.2004.03.002 · Cited by 40 · see citing works
Nosocomial Sepsis Risk Score for Preterm Infants in Low-resource Settings
Rosenberg, R. E., Ahmed, A. N. U., Saha, S. K., Chowdhury, M. A., Ahmed, S., Law, P. A., Black, R. E., Santosham, M., & Darmstadt, G. L. (2009) · Journal of Tropical Pediatrics · doi:10.1093/tropej/fmp061 · Cited by 39 · see citing works
Automatic detection of spiking events in EMFi sheet during sleep
Alametsä, J., Rauhala, E., Huupponen, E., Saastamoinen, A., Värri, A. O., Joutsen, A. S., Hasan, J., & Himanen, S. (2005) · Medical Engineering & Physics · doi:10.1016/j.medengphy.2005.07.008 · Cited by 38 · see citing works
Kudawla, M., Dutta, S., & Narang, A. P. S. (2007) · Journal of Tropical Pediatrics · doi:10.1093/tropej/fmm065 · Cited by 38 · see citing works
Joshi, R., van de Mortel, H., Feijs, L. M. G., Andriessen, P., & van Pul, C. (2017) · PLoS ONE · doi:10.1371/journal.pone.0184567 · Cited by 37 · see citing works
Self-citationPattern discovery in critical alarms originating from neonates under intensive care
Joshi, R., van Pul, C., Atallah, L., Feijs, L. M. G., Huffel, S. V., & Andriessen, P. (2016) · Physiological Measurement · doi:10.1088/0967-3334/37/4/564 · Cited by 35 · see citing works
Self-citationEpileptic and non-epileptic paroxysmal motor phenomena in newborns
Facini, C., Spagnoli, C., & Pisani, F. (2016) · The Journal of Maternal-Fetal & Neonatal Medicine · doi:10.3109/14767058.2016.1140735 · Cited by 30 · see citing works
The unfinished agenda of preterm births
Lancet, T. (2016) · The Lancet · doi:10.1016/s0140-6736(16)32170-5 · Cited by 30 · see citing works
PVDF and EMFi sensor materials — A comparative study
Rajala, S., & Lekkala, J. O. (2010) · Procedia Engineering · doi:10.1016/j.proeng.2010.09.245 · Cited by 28 · see citing works
Motor Activity and Apnea in Preterm Infants: Is There a Causal Relationship?
Mathew, O. P., Thoppil, C. K., & Belan, M. (1991) · American Review of Respiratory Disease · doi:10.1164/ajrccm/144.4.842 · Cited by 23 · see citing works
Computerized fetal heart rate analysis in labor: detection of intervals with un-assignable baseline
Georgieva, A., Payne, S. J., Moulden, M., & Redman, C. W. G. (2011) · Physiological Measurement · doi:10.1088/0967-3334/32/10/004 · Cited by 22 · see citing works
Short and longer term repeatability of ballistocardiography in a sitting position with EMFi sensor
Alametsä, J., Palomäki, A., & Viik, J. (2011) · Medical & Biological Engineering & Computing · doi:10.1007/s11517-011-0746-y · Cited by 21 · see citing works
Estimating actigraphy from motion artifacts in ECG and respiratory effort signals
Fonseca, P. M., Aarts, R. M., Long, X., Rolink, J., & Leonhardt, S. K. (2015) · Physiological Measurement · doi:10.1088/0967-3334/37/1/67 · Cited by 14 · see citing works
Self-citationUnderstanding Neurodevelopmental Outcomes of Prematurity
Watson, A. (2010) · Advances in Neonatal Care · doi:10.1097/anc.0b013e3181e9414b · Cited by 11 · see citing works
Understanding Neurodevelopmental Outcomes of Prematurity
Watson, A. (2013) · Advances in Neonatal Care · doi:10.1097/anc.0000000000000024 · Cited by 9 · see citing works
Transforming artifact to signal: A wavelet-based algorithm for quantifying neonatal movement
Zuzarte, I., Temple, C., Indic, P., & Paydarfar, D. (2014) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/embc.2014.6944863 · Cited by 8 · see citing works
Surface electromyography for analysis of heart rate variability in preterm infants
Jost, K., Scherer, S., Angelis, C. D., Büchler, M., Datta, A., Cattin, P. C., Frey, U., Suki, B., & Schulzke, S. M. (2017) · Physiological Measurement · doi:10.1088/1361-6579/aa996a · Cited by 6 · see citing works
Combining unobtrusive electrocardiography and ballistography for more accurate monitoring of sleep
Vehkaoja, A. T., Peltokangas, M., Verho, J. A., & Lekkala, J. O. (2012) · IEEE International Conference on Bioinformatics and Bioengineering (BIBE) · doi:10.1109/bibe.2012.6399674 · Cited by 5 · see citing works
EMFi material as wearable heart rate sensor for night time recordings
Vehkaoja, A. T., Salpavaara, T., Verho, J. A., & Lekkala, J. O. (2010) · Proceedings of IEEE Sensors/Proceedings of IEEE Sensors ... · doi:10.1109/icsens.2010.5690674 · Cited by 5 · see citing works
Approximate entropy (ApEn) as a complexity measure.
Pincus, S. (1995) · PubMed · doi:10.1063/1.166092 · Cited by 2 · see citing works
Flagged first, then by citations
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Sorted by citations
Chung, H. U., Rwei, A. Y., Hourlier-Fargette, A., Xu, S., Lee, K., Dunne, E. C., Xie, Z., Liu, C., Carlini, A., Kim, D. H., et al. (2020) · Nature Medicine · doi:10.1038/s41591-020-0792-9 · Cited by 482 · see citing works
Heart Rate Variability in the Perinatal Period: A Critical and Conceptual Review
Chiera, M., Cerritelli, F., Casini, A., Barsotti, N., Boschiero, D., Cavigioli, F., Corti, C. G., & Manzotti, A. (2020) · Frontiers in Neuroscience · doi:10.3389/fnins.2020.561186 · Cited by 128 · see citing works
Joshi, R., Kommers, D. R., Oosterwijk, L., Feijs, L. M. G., van Pul, C., & Andriessen, P. (2019) · IEEE Journal of Biomedical and Health Informatics · doi:10.1109/jbhi.2019.2927463 · Cited by 94 · see citing works
Self-citationVital signs as physiomarkers of neonatal sepsis
Sullivan, B. A., & Fairchild, K. D. (2021) · Pediatric Research · doi:10.1038/s41390-021-01709-x · Cited by 70 · see citing works
Prediction of Late-Onset Sepsis in Preterm Infants Using Monitoring Signals and Machine Learning
Cabrera-Quirós, L., Kommers, D. R., Wolvers, M. K., Oosterwijk, L., Arents, N. L., van der Sluijs-Bens, J., Cottaar, E. J. E., Andriessen, P., & van Pul, C. (2021) · Critical Care Explorations · doi:10.1097/cce.0000000000000302 · Cited by 58 · see citing works
Self-citationDeep learning approach for ECG-based automatic sleep state classification in preterm infants
Werth, J., Radha, M., Andriessen, P., Aarts, R. M., & Long, X. (2019) · Biomedical Signal Processing and Control · doi:10.1016/j.bspc.2019.101663 · Cited by 35 · see citing works
Self-citationKausch, S. L., Brandberg, J. G., Qiu, J., Panda, A., Binai, A., Isler, J. R., Sahni, R., Vesoulis, Z. A., Moorman, J. R., Fairchild, K. D., et al. (2023) · Pediatric Research · doi:10.1038/s41390-022-02444-7 · Cited by 34 · see citing works
Noncontact Neonatal Respiration Rate Estimation Using Machine Vision
Kyrollos, D. G., Tanner, J. B., Greenwood, K., Harrold, J., & Green, J. R. (2021) · IEEE Sensors Applications Symposium (SAS) · doi:10.1109/sas51076.2021.9530013 · Cited by 23 · see citing works
Joshi, R., Bierling, B., Feijs, L. M. G., van Pul, C., & Andriessen, P. (2019) · Physiological Measurement · doi:10.1088/1361-6579/ab1595 · Cited by 20 · see citing works
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Cohen-McFarlane, M., Bennett, S. L., Wallace, B., Goubran, R. A., & Knoefel, F. D. (2021) · IEEE Instrumentation & Measurement Magazine · doi:10.1109/mim.2021.9400964 · Cited by 19 · see citing works
Predictive Monitoring of Critical Cardiorespiratory Alarms in Neonates Under Intensive Care
Joshi, R., Peng, Z. Q., Long, X., Feijs, L. M. G., Andriessen, P., & van Pul, C. (2019) · IEEE Journal of Translational Engineering in Health and Medicine · doi:10.1109/jtehm.2019.2953520 · Cited by 16 · see citing works
Self-citationDetection of False Alarms in the NICU Using Pressure Sensitive Mat
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Continuous sensing and quantification of body motion in infants: A systematic review
Peng, Z. Q., Kommers, D. R., Liang, R.-H., Long, X., Cottaar, W., Niemarkt, H. J., Andriessen, P., & van Pul, C. (2023) · Heliyon · doi:10.1016/j.heliyon.2023.e18234 · Cited by 12 · see citing works
Self-citationPeng, Z., Lorato, I., Long, X., Liang, R.-H., Kommers, D., Andriessen, P., Cottaar, W., Stuijk, S., & van Pul, C. (2021) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/embc46164.2021.9630133 · Cited by 12 · see citing works
Self-citationDetection of Neonatal Patient Motion Using a Pressure-Sensitive Mat
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Kumaki, D., Motoshima, Y., Higuchi, F., Sato, K., Sekine, T., & Tokito, S. (2023) · Sensors · doi:10.3390/s23229252 · Cited by 9 · see citing works
Baker, S., Yogavijayan, T., & Kandasamy, Y. (2023) · Healthcare · doi:10.3390/healthcare11243107 · Cited by 11 · see citing works
Fusing Pressure-Sensitive Mat Data with Video through Multi-Modal Registration
Kyrollos, D. G., Hassan, R., Dosso, Y. S., & Green, J. R. (2021) · IEEE International Instrumentation and Measurement Technology Conference · doi:10.1109/i2mtc50364.2021.9459886 · Cited by 8 · see citing works
van der Kamp, M. R., Hengeveld, V., Willard, N. P., Thio, B., de Graaf, P., Geven, I., & Tabak, M. (2023) · JMIR Research Protocols · doi:10.2196/45585 · Cited by 8 · see citing works
A Comparison of Video-based Methods for Neonatal Body Motion Detection
Peng, Z. Q., van de Sande, D., Lorato, I. R., Long, X., Liang, R.-H., Andriessen, P., Cottaar, W., Stuijk, S., & van Pul, C. (2022) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/embc48229.2022.9871700 · Cited by 7 · see citing works
Self-citationBester, M., Escorcia, M. J. A., Fonseca, P. M., Mollura, M., van Gilst, M. M., Barbieri, R., Mischi, M., van Laar, J. O. E. H., Vullings, R., & Joshi, R. (2023) · Scientific Reports · doi:10.1038/s41598-023-47980-2 · Cited by 6 · see citing works
Self-citationTransfer Learning Approaches for Neonate Head Localization from Pressure Images
Kyrollos, D. G., Greenwood, K., Harrold, J., & Green, J. R. (2022) · IEEE International Symposium on Medical Measurements and Applications (MeMeA) · doi:10.1109/memea54994.2022.9856457 · Cited by 5 · see citing works
de Boer, E. C., van Houte, J., Fernandes, C. D., Bakkes, T. H. G. F., Muehlsteff, J., Bouwman, R. A., & Mischi, M. (2025) · Perioperative Medicine · doi:10.1186/s13741-025-00508-w · Cited by 4 · see citing works
Peng, Z. Q., Zhao, Y., Kommers, D. R., van den Boom, H., Liang, R.-H., Long, X., Niemarkt, H. J., Andriessen, P., & van Pul, C. (2024) · IEEE Transactions on Instrumentation and Measurement · doi:10.1109/tim.2024.3369135 · Cited by 4 · see citing works
Self-citationTowards unobtrusive sleep stage classification in preterm infants using machine learning
Demme, N., Shadaydeh, M., Schieder, L., Doerfel, C., Jähkel, S., Holthoff, K., Proquitté, H., Denzler, J., & Graf, J. (2025) · Biomedical Signal Processing and Control · doi:10.1016/j.bspc.2025.107904 · Cited by 3 · see citing works
Palladino, G., Peng, Z. Q., Kommers, D. R., van den Boom, H., Raz, O., Long, X., Andriessen, P., Niemarkt, H. J., & van Pul, C. (2024) · IEEE International Symposium on Medical Measurements and Applications (MeMeA) · doi:10.1109/memea60663.2024.10596738 · Cited by 2 · see citing works
Self-citationWilliams, E. E., Ascherl, R., Gaertner, V. D., Sibrecht, G., Kurul, Ş., Herrmann, M.-L., Szakmár, E., Raffaeli, G., Bresesti, I., & Jost, K. (2025) · Journal of Clinical Monitoring and Computing · doi:10.1007/s10877-025-01310-1 · Cited by 2 · see citing works
Zhang, B., Peng, Z. Q., Dong, C., Hu, J., Long, X., Lyu, T., & Lu, P. (2025) · Frontiers in Neuroscience · doi:10.3389/fnins.2025.1549783 · Cited by 1 · see citing works
Self-citationSmits, L. C. A., Datema, M., Voskuijl, W. P., Ngari, M. M., Kumwenda, M., & Calis, J. C. J. (2025) · PLoS ONE · doi:10.1371/journal.pone.0336233 · Cited by 1 · see citing works
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Prins, W., Stamatelou, E., Dellimore, K. H. J., Likumbo, A., Kafulafula, E., Langton, J., Njirammadzi, J., Mwenisungo, J., Msukwa, T., Calis, J. C. J., et al. (2022) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/embc48229.2022.9871797 · Cited by 1 · see citing works
Self-citationJähne-Raden, N., Bavendiek, U., Gütschleg, H., Kulau, U., Sigg, S., Wolf, M. C., Zeppernick, T., & Marschollek, M. (2020) · Studies in health technology and informatics · doi:10.3233/shti200273 · Cited by 1 · see citing works
Sleep Monitoring in Adults Using Wearables and Unobtrusive Technology
Deviaene, M., Huysmans, D., Castro, I. D., Borzée, P., Testelmans, D., Buyse, B., Huffel, S. V., & Varon, C. (2021) · Springer eBooks · doi:10.1007/978-981-16-5324-7_8 · Cited by 1 · see citing works
Movement as a vital sign in neonates
Zuzarte, I. (2020) · doi:10.17760/d20385584 · Cited by 1 · see citing works
Human Respiratory Sound Classification for Remote Health Monitoring Applications
Cohen-McFarlane, M. (2022) · doi:10.22215/etd/2022-15017 · Cited by 1 · see citing works
eHealth in pediatric asthma care : From smart home-monitoring to implementing a new care standard
van der Kamp, M. R. (2023) · doi:10.3990/1.9789036555654 · Cited by 1 · see citing works
Region-of-Interest Detection for the Neonatal Intensive Care Unit
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Predicting Hypotension After Spinal Anesthesia Using Carotid Ultrasound and Clinical Variables
de Boer, E. C., van Houte, J., Fernandes, C. D., Muehlsteff, J., Bouwman, R. A., & Mischi, M. (2024) · IEEE International Symposium on Medical Measurements and Applications (MeMeA) · doi:10.1109/memea60663.2024.10596875
Palladino, G., Peng, Z. Q., Kommers, D. R., van den Boom, H., Raz, O., Long, X., Andriessen, P., Niemarkt, H. J., & van Pul, C. (2025) · Sensors · doi:10.3390/s25154774
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Cosoli, G., Bencivenga, C., Arnesano, M., Verdini, F., & D’Alvia, L. (2026) · IEEE International Workshop on Metrology for Living Environment (MetroLivEnv) · doi:10.1109/metrolivenv70468.2026.11659921
- Authors
- Joshi, R., Bierling, B. L., Long, X., Weijers, J., Feijs, L., Van Pul, C., & Andriessen, P.
- Affiliations
- Philips (Netherlands) (NL)
- Eindhoven University of Technology (NL)
- Máxima Medisch Centrum (NL)
- Corresponding author
- Joshi, Rohan
- Venue
- IEEE Journal of Translational Engineering in Health and Medicine
- Published
- 2018
- Volume
- 6
- Pages
- 1-10
- ISSN
- 2168-2372 (ISSN-L)
- PMC
- PMC6204923
- OpenAlex
- W2897425389
- Cited by
- 43
- References
- 45
- Citations by year
- 2026: 3 · 2025: 6 · 2024: 3 · 2023: 8 · 2022: 5 · 2021: 8 · 2020: 5 · 2019: 5
- FWCI
- 1.80
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- IEEE Journal of Translational Engineering in Health and Medicine (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- TU/e Research Portal (submittedVersion, cc-by)
- TU/e Research Portal (submittedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- TU/e Research Portal (submittedVersion, other-oa)
- Topics
- Physical Sciences › Engineering › Biomedical Engineering › Non-Invasive Vital Sign Monitoring
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Context-Aware Activity Recognition Systems
- Health Sciences › Medicine › Pediatrics, Perinatology and Child Health › Infant Development and Preterm Care
- Keywords
- preterm infants, non-invasive monitoring, cardiorespiratory monitoring, sepsis detection, apnea detection, seizures, photoplethysmogram, electrocardiogram
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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