|
[1] D. Dilli, H. Soylu, and N. Tekin, “Neonatal hemodynamics and management of hypotension in newborns,” Turkish Archives of Pediatrics, vol. 53, no. Suppl 1, pp. S65-S75, 2018. [2] I. M. Wright, J. L. Latter, R. M. Dyson, C. R. Levi, and V. L. Clifton, “Videomicroscopy as a tool for investigation of the microcirculation in the newborn,” Physiological Reports, vol. 4, no. 19, 2016, Art. no. e12941. [3] N. V. Raju, M. J. Maisels, E. Kring, and L. Schwarz-Warner, “Capillary refill time in the hands and feet of normal newborn infants,” Clinical pediatrics, vol. 38, no. 3, pp. 139-144, 1999. [4] S. L. Vrancken, A. F. van Heijst, and W. P. de Boode, “Neonatal Hemodynamics: From Developmental Physiology to Comprehensive Monitoring,” Front Pediatr, vol. 6, 2018, Art. no. 87. [5] J. O'Doherty, P. McNamara, N. T. Clancy, J. G. Enfield, and M. J. Leahy, “Comparison of instruments for investigation of microcirculatory blood flow and red blood cell concentration,” Journal of Biomedical Optics, vol. 14, no. 3, 2009, Art. no. 034025. [6] H. E. Suichies, C. Brouwer, and J. G. Aarnoudse, “Skin blood flow changes, measured by laser Doppler flowmetry, in the first week after birth,” Early human development, vol. 23, no. 1, pp. 1-8, 1990. [7] M. Roustit and J. L. Cracowski, “Assessment of endothelial and neurovascular function in human skin microcirculation,” Trends in Pharmacological Sciences, vol. 34, no. 7, pp. 373-384, 2013. [8] V. Rajan, B. Varghese, T. G. van Leeuwen, and W. Steenbergen, “Review of methodological developments in laser Doppler flowmetry,” Lasers in Medical Science, vol. 24, no. 2, pp. 269-283, 2009. [9] H. C. Choo, K. Nosaka, J. J. Peiffer, M. Ihsan, C. C. Yeo, and C. R. Abbiss, “Reliability of laser Doppler, near-infrared spectroscopy and Doppler ultrasound for peripheral blood flow measurements during and after exercise in the heat,” Journal of Sports Sciences, vol. 35, no. 17, pp. 1715-1723, 2017. [10] P. T. Goedhart, M. Khalilzada, R. Bezemer, J. Merza, and C. Ince, “Sidestream Dark Field (SDF) imaging: a novel stroboscopic LED ring-based imaging modality for clinical assessment of the microcirculation,” Optics Express, vol. 15, no. 23, pp. 15101-15114, 2007. [11] D. De Backer, J. Creteur, J. C. Preiser, M. J. Dubois, and J. L. Vincent, “Microvascular blood flow is altered in patients with sepsis,” American Journal of Respiratory and Critical Care Medicine, vol. 166, no. 1, pp. 98-104, 2002. [12] W. Groner, J. W. Winkelman, A. G. Harris, C. Ince, G. J. Bouma, K. Messmer, and R. G. Nadeau, “Orthogonal polarization spectral imaging: a new method for study of the microcirculation,” Nature Medicine, vol. 5, no. 10, pp. 1209-1212, 1999. [13] M. P. Hartung, T. M. Grist, and C. J. Francois, “Magnetic resonance angiography: current status and future directions,” Journal of Cardiovascular Magnetic Resonance, vol. 13, pp. 1-11, 2011. [14] A. Pellicer and C. Bravo Mdel, “Near-infrared spectroscopy: a methodology-focused review,” Seminars in Fetal and Neonatal Medicine, vol. 16, no. 1, pp. 42-49, 2011. [15] J. -R. Kuo, M. -H. Chang, C. -C. Wang, C. -C. Chio, J. -J. Wang, and B. -S. Lin, “Wireless Near-infrared Spectroscopy System for Determining Brain Hemoglobin Levels in Laboratory Animals,” Journal of Neuroscience Methods, vol. 214, issue 2, pp. 204-209, 2013. [16] J. -R. Kuo, B. -S. Lin, C. -L. Cheng, and C. -C. Chio, “Hypoxic-state Estimation of Brain Cells by Using Wireless Near-infrared Spectroscopy,” IEEE Journal of Biomedical and Health Informatics, vol. 18, issue 1, pp. 167-173, 2014. [17] W. Chou, P. -J. Wu, C. -C. Fang, Y. -S. Yen, and B. -S. Lin, “Design of smart brain oxygenation monitoring system for estimating cardiovascular disease severity,” IEEE Access, vol. 8, pp. 98422-98429, 2020. [18] Y. -K. Huang, C. -C. Chang, P. -X. Lin, and B. -S. Lin, “Quantitative Evaluation of Rehabilitation Effect on Peripheral Circulation of Diabetic Foot,” IEEE Journal of Biomedical and Health Informatics, vol. 22, issue 4, pp. 1019-1025, 2017. [19] H. -C. Kuo, C. -C. Lo, P. -X. Lin, C. -C. Kao, Y. -H. Huang, and B. -S. Lin, “Wireless Optical Monitoring System Identifies Limb Induration Characteristics in Patients with Kawasaki Disease,” Journal of Allergy and Clinical Immunology, vol. 142, issue 2, pp. 710-711, 2018. [20] K. -D. Lin, B. -S. Lin, G. -A. Lin, and B. -S. Lin, “Design of Smart Peripheral Blood Perfusion Monitoring System for Diabetics,” IEEE Sensors journal, vol. 21, issue 8, pp. 10167-10173, 2021. [21] J. Menke, U. Voss, G. Moller, and G. Jorch, “Reproducibility of cerebral near infrared spectroscopy in neonates,” Biology of the Neonate, vol. 83, no. 1, pp. 6-11, 2003. [22] L. M. Dix, F. van Bel, W. Baerts, and P. M. Lemmers, “Comparing near-infrared spectroscopy devices and their sensors for monitoring regional cerebral oxygen saturation in the neonate,” Pediatric Research, vol. 74, no. 5, pp. 557-563, 2013. [23] L. Kocsis, P. Herman, and A. Eke, “The modified Beer-Lambert law revisited,” Physics in Medicine & Biology, vol. 51, no. 5, pp. N91-N98, 2006. [24] M. Friebel, J. Helfmann, U. Netz, and M. Meinke, “Influence of oxygen saturation on the optical scattering properties of human red blood cells in the spectral range 250 to 2,000 nm,” Journal of Biomedical Optics, vol. 14, no. 3, 2009 Art. no. 034001. [25] P. Giacometti and S. G. Diamond, “Diffuse Optical Tomography for Brain Imaging: Continuous Wave Instrumentation and Linear Analysis Methods,” Optical Methods and Instrumentation in Brain Imaging and Therapy, vol. 3, pp. 57-85, 2013. [26] V. Patil, J. Safaie, H. A. Moghaddam, F. Wallois, and R. Grebe, “Experimental investigation of NIRS spatial sensitivity,” Biomedical Optics Express, vol. 2, no. 6, pp. 1478-1493, 2011. [27] I. Seri and J. Evans, “Controversies in the diagnosis and management of hypotension in the newborn infant,” Current opinion in pediatrics, vol. 13, no. 2, pp. 116-123, 2001. [28] A. B. Zubrow, S. Hulman, H. Kushner, and B. Falkner, “Determinants of blood pressure in infants admitted to neonatal intensive care units: a prospective multicenter study Philadelphia Neonatal Blood Pressure Study Group,” Journal of Perinatology, vol. 15, no. 6, pp. 470-479, 1995. [29] G. Sainas, R. Milia, G. Palazzolo, G. Ibba, E. Marongiu, S. Roberto, and A. Crisafulli, “Mean blood pressure assessment during post-exercise: result from two different methods of calculation,” Journal of sports science and medicine, vol. 15, no. 3, pp. 424-433, 2016. [30] J. Tian, M. Li, F. Chen, and N. Feng, “Learning Subspace-Based RBFNN Using Coevolutionary Algorithm for Complex Classification Tasks,” IEEE Transactions on Neural Networks and Learning Systems, vol. 27, no. 1, pp. 47-61, 2016. [31] P. Kanirajan and V. Suresh Kumar, “Power quality disturbance detection and classification using wavelet and RBFNN,” Applied Soft Computing, vol. 35, pp. 470-481, 2015. [32] M. R. Cowper, B. Mulgrew, and C. P. Unsworth, “Nonlinear prediction of chaotic signals using a normalised radial basis function network,” Signal Processing, vol. 82, no. 5, pp. 775-789, 2002. [33] Y. Zou and Z. Zheng, “A Robust Adaptive RBFNN Augmenting Backstepping Control Approach for a Model-Scaled Helicopter,” IEEE Transactions on Control Systems Technology, vol. 23, no. 6, pp. 2344-2352, 2015. [34] B. -S. Lin, B. -S. Lin, F. -C. Chong, and F. Lai, “Higher-order-statistics-based radial basis function networks for signal enhancement,” IEEE Transactions on Neural Networks, vol. 18, no. 3, pp. 823-832, 2007. [35] A. Ahmad and L. Dey, “A k-mean clustering algorithm for mixed numeric and categorical data,” Data & Knowledge Engineering, vol. 63, no. 2, pp. 503-527, 2007. [36] S. Zhang, W. Xing Zheng, and J. Zhang, “A new combined-step-size normalized least mean square algorithm for cyclostationary inputs,” Signal Processing, vol. 141, pp. 261-272, 2017. [37] A. P. Schwepcke, A. K. Grzybowski, O. G. Boroviczény, and C. Nussbaum, “Effects of prematurity on the cutaneous microcirculatory network in the first weeks of life,” Frontiers in pediatrics, vol. 7, 2019, Art. no. 198. [38] R. E. Giesinger and P. J. McNamara, “Hemodynamic instability in the critically ill neonate: An approach to cardiovascular support based on disease pathophysiology,” Seminars in Perinatology, vol. 40, no. 3, pp. 174-188, 2016. [39] S. Gupta and S. M. Donn, “Assessment of neonatal perfusion,” Seminars in Fetal and Neonatal Medicine, vol. 25, no. 5, 2020, Art. no. 101144. [40] S. Eriksson, J. Nilsson, and C. Sturesson. “Non-invasive imaging of microcirculation: a technology review.” Medical devices (Auckland, NZ), vol. 7, pp. 445-452, 2014. [41] E. J. Droog, W. Steenbergen, and F. Sjöberg, “Measurement of depth of burns by laser Doppler perfusion imaging,” Burns, vol. 27, no. 6, pp. 561-568, 2001. [42] I. Fredriksson, M. Larsson, and T. Strömberg, “Measurement depth and volume in laser Doppler flowmetry,” Microvascular research, vol. 78, no. 1, pp. 4-13, 2009. [43] M. Larsson, W. Steenbergen, and T. Strömberg, “Influence of optical properties and fiber separation on laser Doppler flowmetry,” Journal of Biomedical Optics, vol. 7, no. 2, pp. 236-243, 2002. [44] D. W. Paul, P. Ghassemi, J. C. Ramella‐Roman, N. J. Prindeze, L. T. Moffatt, A. Alkhalil, and J. W. Shupp, “Noninvasive imaging technologies for cutaneous wound assessment: A review,” Wound Repair and Regeneration, vol. 23, no. 2, pp. 149-162, 2015. [45] R. C. Arnold, J. E. Parrillo, R. P. Dellinger, M. E. Chansky, N. I. Shapiro, D. J. Lundy, and S. M. Hollenberg, “Point-of-care assessment of microvascular blood flow in critically ill patients,” Intensive care medicine, vol. 35, no, 10, pp. 1761-1766, 2009. [46] M. Weindling and F. Paize, “Peripheral haemodynamics in newborns: best practice guidelines,” Early human development, vol. 86, no. 3, pp. 159-165, 2010. [47] M. Roustit and J. L. Cracowski, “Non‐invasive assessment of skin microvascular function in humans: an insight into methods,” Microcirculation, vol. 19, no. 1, pp. 47-64, 2012.
|