Smart Shunting and Monitoring of Hydrocephalus Patients
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J. Mustafina | O. Salih | H.B. Smadi | M. Messina | C. Mallucci | A.J. Aljaaf | C. Mallucci | J. Mustafina | M. Messina | A. Aljaaf | O. Salih | H. B. Smadi
[1] Hissam Tawfik,et al. MoHTAM: A Technology Acceptance Model for Mobile Health Applications , 2011, 2011 Developments in E-systems Engineering.
[2] K. Uchino. The Development of Piezoelectric Materials and the New Perspective , 2010 .
[3] Dhiya Al-Jumeily,et al. Home-Based Health Monitoring and Measurement for Personalised Healthcare , 2012 .
[4] Alistair A. Young,et al. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) , 2017, MICCAI 2017.
[5] Karl Spanner,et al. Piezoelectric Motors, an Overview , 2016 .
[6] Emiliano Miluzzo,et al. A survey of mobile phone sensing , 2010, IEEE Communications Magazine.
[7] Waleed Al-Nuaimy,et al. Design of an intelligent and personalised shunting system for hydrocephalus , 2008, 2008 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.
[8] H. Marth,et al. Advancements in linear piezoelectric actuator mechanisms , 2009, Optical Engineering + Applications.
[9] I. Pople,et al. HYDROCEPHALUS AND SHUNTS: WHAT THE NEUROLOGIST SHOULD KNOW , 2002, Journal of neurology, neurosurgery, and psychiatry.
[10] N. Venkataramana. Hydrocephalus Indian scenario – A review , 2011, Journal of pediatric neurosciences.
[11] I. Piper,et al. The Camino Intracranial Pressure Sensor: Is it Optimal Technology? An Internal Audit with a Review of Current Intracranial Pressure Monitoring Technologies , 2001, Neurosurgery.
[12] S. Browd,et al. Failure of cerebrospinal fluid shunts: part I: Obstruction and mechanical failure. , 2006, Pediatric neurology.
[13] Ciprian Dobre,et al. Social Aspects for Opportunistic Communication , 2012, 2012 11th International Symposium on Parallel and Distributed Computing.
[14] Carolyn A. Harris,et al. Cerebrospinal Fluid Shunting Complications in Children , 2017, Pediatric Neurosurgery.
[15] L Momani,et al. Programming and Managing Mechatronic Hydrocephalus Shunt: System and Method , 2017 .
[16] A. Filis,et al. Cerebrospinal Fluid and Hydrocephalus: Physiology, Diagnosis, and Treatment. , 2017, Cancer control : journal of the Moffitt Cancer Center.
[17] S. Browd,et al. New and improved ways to treat hydrocephalus: Pursuit of a smart shunt , 2013, Surgical neurology international.
[18] D. Al-Jumeily,et al. Supporting Cloud Computing Management through an Object Mapping Declarative Language , 2010, 2010 Developments in E-systems Engineering.
[19] D. Al-Jumeily,et al. Adaptive Neural Network Model Using the Immune System for Financial Time Series Forecasting , 2009, 2009 International Conference on Computational Intelligence, Modelling and Simulation.
[20] Dhiya Al-Jumeily,et al. Regularized dynamic self-organized neural network inspired by the immune algorithm for financial time series prediction , 2016, Neurocomputing.
[21] Dhiya Al-Jumeily,et al. Application of Pi-Sigma Neural Networks and Ridge Polynomial Neural Networks to Financial Time Series Prediction , 2009 .
[22] Charles Abraham,et al. Mobile Phone and Web 2.0 Technologies for Weight Management: A Systematic Scoping Review , 2015, Journal of medical Internet research.
[23] Brian J. Kim,et al. Parylene MEMS patency sensor for assessment of hydrocephalus shunt obstruction , 2016, Biomedical microdevices.
[24] Dhiya Al-Jumeily,et al. Regularized Dynamic Self Organized Neural Network Inspired by the Immune Algorithm for Financial Time Series Prediction , 2014, ICIC.
[25] S. Leonhardt,et al. Review of Current Actuator Suitability for Use in Medical Implants , 2006, 2006 International Conference of the IEEE Engineering in Medicine and Biology Society.
[26] P. Fergus,et al. Predicting the likelihood of heart failure with a multi level risk assessment using decision tree , 2015, 2015 Third International Conference on Technological Advances in Electrical, Electronics and Computer Engineering (TAEECE).
[27] Michael Kiefer,et al. Concepts for a mechatronic device to control intracranial pressure , 2006 .
[28] Dhiya Al-Jumeily,et al. Dynamic Ridge Polynomial Neural Networks in Exchange Rates Time Series Forecasting , 2007, ICANNGA.
[29] Hissam Tawfik,et al. e-HTAM: A Technology Acceptance Model for electronic health , 2011, 2011 International Conference on Innovations in Information Technology.
[30] M. Berman. An update on research priorities in hydrocephalus: overview of the third National Institutes of Health-sponsored symposium "Opportunities for Hydrocephalus Research: Pathways to Better Outcomes" , 2015 .
[31] J. Webster,et al. Invasive and noninvasive means of measuring intracranial pressure: a review , 2017, Physiological measurement.
[32] Dhiya Al-Jumeily,et al. The Application of the Neural Network Model Inspired by the Immune System in Financial Time Series Prediction , 2009, 2009 Second International Conference on Developments in eSystems Engineering.
[33] D. Al-Jumeily,et al. Can We Truly Learn from A Cloud Or Is It Just A Lot of Thunder? , 2010, 2010 Developments in E-systems Engineering.
[34] Mohammed Al-Jumaily,et al. A mechatronic valve in the management of hydrocephalus: methods and performance , 2010, Medical & Biological Engineering & Computing.
[35] Hongseok Noh,et al. Design and Fabrication of a PDMS/Parylene Microvalve for the Treatment of Hydrocephalus , 2011, Journal of Microelectromechanical Systems.