Non-Invasive Ventilation Sensor Mask (NIVSM): Preliminary Design and Testing

Conference paper

Lebetiou, H., Morad, S., Sharif, S. and Nichols, P. 2023. Non-Invasive Ventilation Sensor Mask (NIVSM): Preliminary Design and Testing. 3ICT 2023: International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies. University of Bahrain, Bahrain 20 - 21 Nov 2023 IEEE. https://doi.org/10.1109/3ICT60104.2023.10391452
AuthorsLebetiou, H., Morad, S., Sharif, S. and Nichols, P.
TypeConference paper
Abstract

Previous research has emphasized the significance of mask and interface design in non-invasive ventilation (NIV) and the prevention of pressure ulcers (PUs). Multiple variables are involved in the necrosis process, but the skin-mask interface has the significant impact. A preliminary design of a custom-fit Mask (CFM) embedded with microclimate sensor has been introduced previously. This study aims to improve the comfort and safety of patients that use NIV masks for long periods. The personalized cushion fit (PCF) is designed using 3D scanning and printing technology and integrated into a pre existing mask. Integration with a preexisting mask has been achieved by fabricating a modular design that acts as a disposable PCF. Embedded sensors are added to the mask to measure the skin-mask microclimate. Real-time data is plotted and monitored for critical conditions and to identify other key features. A preliminary temperaturehumidity (T-H) monitoring of the skin-mask interface for both PCF and pre-existing mask shows fluctuation trends that could potentially induce PUs. However, there is a more sensitive reaction in the PCF test.

Year2023
Conference3ICT 2023: International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies
PublisherIEEE
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Publication dates
Print19 Jan 2024
Publication process dates
Accepted14 Sep 2023
Deposited25 Sep 2023
Journal citationpp. 314-318
ISSN2770-7466
2770-7458
Book titleProceedings: International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies (3ICT 2023)
ISBN9798350307788
9798350307771
Digital Object Identifier (DOI)https://doi.org/10.1109/3ICT60104.2023.10391452
Web address (URL) of conference proceedingshttps://ieeexplore.ieee.org/xpl/conhome/10391285/proceeding
Copyright holder© 2023, IEEE
Copyright informationPersonal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
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Okoye, Kingsley, Islam, S., Naeem, U., Sharif, M., Azam, Muhammad Awais and Karami, A. 2018. The Application of a Semantic-Based Process Mining Framework on a Learning Process Domain. Arai, Kohei, Kapoor, Supriya and Bhatia, Rahul (ed.) Intelligent Systems Conference (IntelliSys) 2018. London, UK 06 - 07 Sep 2018 Springer, Cham. https://doi.org/10.1007/978-3-030-01054-6_96
Taskification – Gamification of Tasks
Naeem, U., Islam, S., Sharif, M., Sudakov, Sergey and Azam, Awais 2017. Taskification – Gamification of Tasks. in: Proceedings of the 2017 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2017 ACM International Symposium on Wearable Computers Association for Computing Machinery (ACM). pp. 631-634
SignalSense - Towards Quality Service
Islam, S., Sharif, M., Naeem, U. and Geehan, James 2017. SignalSense - Towards Quality Service. in: Proceedings of the 2017 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2017 ACM International Symposium on Wearable Computers Association for Computing Machinery (ACM). pp. 627-630
CrimeSafe - Helping you stay safe
Islam, S., Naeem, U., Sharif, M. and Dovnarovic, Arnold 2017. CrimeSafe - Helping you stay safe. in: Proceedings of the 2017 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2017 ACM International Symposium on Wearable Computers Association for Computing Machinery (ACM). pp. 642-645
The Future of Enterprise Security with Regards to Mobile Technology and Applications
Tagoe, F. T. and Sharif, M. 2017. The Future of Enterprise Security with Regards to Mobile Technology and Applications. in: Jahankhani, Hamid, Carlile, Alex, Emm, David, Hosseinian-Far, Amin, Brown, Guy, Sexton, Graham and Jamal, Arshad (ed.) Global Security, Safety and Sustainability - The Security Challenges of the Connected World. ICGS3 2017 Proceedings Springer International Publishing.
Actor-Network Theory as a Framework to Analyse Technology Acceptance Model’s External Variables: The Case of Autonomous Vehicles
Seuwou, Patrice, Banissi, Ebad, Ubakanma, George, Sharif, M. and Healey, Ann 2017. Actor-Network Theory as a Framework to Analyse Technology Acceptance Model’s External Variables: The Case of Autonomous Vehicles. in: Jahankhani, Hamid, Carlile, Alex, Emm, David, Hosseinian-Far, Amin, Brown, Guy, Sexton, Graham and Jamal, Arshad (ed.) Global Security, Safety and Sustainability - The Security Challenges of the Connected World. ICGS3 2017 Proceedings Springer International Publishing.
An efficient system for preprocessing confocal corneal images for subsequent analysis
Sharif, M., Qahwaji, Rami, Hayajneh, Sofyan, Ipson, Stanley, Alzubaidi, Rania and Brahma, Arun 2014. An efficient system for preprocessing confocal corneal images for subsequent analysis. in: 2014 14th UK Workshop on Computational Intelligence (UKCI) IEEE.
Artificial Neural Network-Based System for PET Volume Segmentation
Sharif, M., Abbod, Maysam, Amira, Abbes and Zaidi, Habib 2010. Artificial Neural Network-Based System for PET Volume Segmentation. International Journal of Biomedical Imaging. 2010 (105610). https://doi.org/10.1155/2010/105610
Artificial Neural Network-Statistical Approach for PET Volume Analysis and Classification
Sharif, M., Abbod, Maysam, Amira, Abbes and Zaidi, Habib 2012. Artificial Neural Network-Statistical Approach for PET Volume Analysis and Classification. Advances in Fuzzy Systems. 2012 (327861). https://doi.org/10.1155/2012/327861
Machine Learning Optimisation for Realistic 2D and 3D PET-CT Phantom Study
Sharif, M., Abbod, Maysam, Sonoda, Luke I. and Sanghera, Bal 2013. Machine Learning Optimisation for Realistic 2D and 3D PET-CT Phantom Study. British Journal of Applied Science & Technology. 4 (4), pp. 634-649. https://doi.org/10.9734/bjast/2014/5084
Preparation of 2D sequences of corneal images for 3D model building
Elbita, Abdulhakim, Qahwaji, Rami, Ipson, Stanley, Sharif, M. and Ghanchi, Faruque 2015. Preparation of 2D sequences of corneal images for 3D model building. Computer Methods and Programs in Biomedicine. 114 (2), pp. 194-205. https://doi.org/10.1016/j.cmpb.2014.01.009
Medical image classification based on artificial intelligence approaches: A practical study on normal and abnormal confocal corneal images
Sharif, M., Qahwaji, R., Ipson, S. and Brahma, A. 2015. Medical image classification based on artificial intelligence approaches: A practical study on normal and abnormal confocal corneal images. Applied Soft Computing. 36 (Nov.), pp. 269-282. https://doi.org/10.1016/j.asoc.2015.07.019
An efficient intelligent analysis system for confocal corneal endothelium images
Sharif, M., Qahwaji, R., Shahamatnia, E., Alzubaidi, R., Ipson, S. and Brahma, A. 2015. An efficient intelligent analysis system for confocal corneal endothelium images. Computer Methods and Programs in Biomedicine. 122 (3), pp. 421-436. https://doi.org/10.1016/j.cmpb.2015.09.003
In Vivo Confocal Microscopic Corneal Images in health and disease with an emphasis on extracting features and visual signatures for corneal diseases: A review study
Alzubaidi, Rania, Sharif, M., Qahwaji, Rami, Ipson, Stanley and Brahma, Arun 2015. In Vivo Confocal Microscopic Corneal Images in health and disease with an emphasis on extracting features and visual signatures for corneal diseases: A review study. British Journal of Ophthalmology. 100 (1), pp. 41-55. https://doi.org/10.1136/bjophthalmol-2015-306934
Robot-Bone Attachment Device for Robot-Assisted Percutaneous Bone Fragment Manipulation
Dagnino, G., Georgilas, K., Köhler, P., Morad, S., Gibbons, P., Atkins, R. and Dogramadzi, S. 2017. Robot-Bone Attachment Device for Robot-Assisted Percutaneous Bone Fragment Manipulation. 17th Annual Meeting of the International Society for Computer Assisted Orthopaedic Surgery (CAOS) . Aachen, DE 14 - 17 Jun 2017 Easy Chair. https://doi.org/10.29007/6wtt
Intra-operative fiducial-based CT/fluoroscope image registration framework for image-guided robot-assisted joint fracture surgery
Dagnino, G., Georgilas, I., Morad, S., Gibbons, P., Tarassoli, P., Atkins, R. and Dogramadzi, S. 2017. Intra-operative fiducial-based CT/fluoroscope image registration framework for image-guided robot-assisted joint fracture surgery. International Journal of Computer Assisted Radiology and Surgery. 12, p. 1383–1397. https://doi.org/10.1007/s11548-017-1602-9
Image-Guided Surgical Robotic System for Percutaneous Reduction of Joint Fractures
Dagnino, G., Georgilas, I., Morad, S., Gibbons, P., Tarassoli, P., Atkins, R. and Dogramadzi, S. 2017. Image-Guided Surgical Robotic System for Percutaneous Reduction of Joint Fractures. Annals of Biomedical Engineering. 45, p. 2648–2662. https://doi.org/10.1007/s10439-017-1901-x
A Mutlimodal Approach to Measure the Levels Distraction of Pedestrians using Mobile Sensing
Pizzamiglio, S., Naeem, U., ur Réhman, Shafiq, Sharif, M., Abdalla, H. and Turner, D. 2017. A Mutlimodal Approach to Measure the Levels Distraction of Pedestrians using Mobile Sensing. Procedia Computer Science. 113, pp. 89-96. https://doi.org/10.1016/j.procs.2017.08.297
Navigation system for robot-assisted intra-articular lower-limb fracture surgery
Dagnino, G., Georgilas, I., Köhler, P., Morad, S., Atkins, R. and Dogramadzi, S. 2016. Navigation system for robot-assisted intra-articular lower-limb fracture surgery. International Journal of Computer Assisted Radiology and Surgery. 11, p. 1831–1843. https://doi.org/10.1007/s11548-016-1418-z
Modelling and control of a water jet cutting probe for flexible surgical robot
Morad, S., Ulbricht, C., Harkin, P., Chan, J., Parker, K. and Vaidyanathan, R. 2015. Modelling and control of a water jet cutting probe for flexible surgical robot. 2015 IEEE International Conference on Automation Science and Engineering (CASE). Gothenburg, Sweden 24 - 28 Aug 2015 IEEE. https://doi.org/10.1109/CoASE.2015.7294254
Flexible robotic device for spinal surgery
Morad, S., Ulbricht, C., Harkin, P., Chan, J., Parker, K. and Vaidyanathan, R. 2014. Flexible robotic device for spinal surgery. 2014 IEEE International Conference on Robotics and Biomimetics (ROBIO 2014). Bali, Indonesia 05 - 10 Dec 2014 IEEE. https://doi.org/10.1109/ROBIO.2014.7090336
The Shape of the Urine Stream — From Biophysics to Diagnostics
Wheeler, A. P. S., Morad, S., Buchholz, N. and Knight, M. M. 2012. The Shape of the Urine Stream — From Biophysics to Diagnostics. PLoS ONE. 7 (Art. e47133). https://doi.org/10.1371/journal.pone.0047133