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Citations since 2017
17 Research Items
January 2017 - present
DISE INNOVATION LTD
- Principal Investigator
- Developing innovative computational solutions for drug-induced sleep endoscopy.
Drug-induced sedation endoscopy (DISE) classification systems play a significant role in clinical analysis based on DISE findings, treatment decision process, treatment planning process and fundamentally in treatment outcomes. However, there is a major problem: there is no universally agreed DISE classification system. Hence, for the same DISE exam...
Purpose: Drug-induced sedation endoscopy (DISE) classification systems have been used to assess anatomical findings on upper airway obstruction, and decide and plan surgical treatments and act as a predictor for surgical treatment outcome for obstructive sleep apnoea management. The first objective is to identify if there is a universally accepted...
There is a lack of consensus on how to assess and report upper airway obstruction based drug-induced sleep endoscopy findings, a lack of multiple information visualisation system for real-time drug-induced sleep endoscopy assessment and a lack of a relational model for drug-induced sleep endoscopy information management. The key objective of this t...
Drug-induced sleep endoscopy (DISE) is a diagnostic technique for 3D dynamic anatomical visualisation of upper airway obstruction during sedated sleep. There is a lack of standardised procedure and objective measurement associated with information capture, information management, evaluation of DISE findings, treatment planning, and treatment outcom...
To the Editor We read with great interest the article published by Gobbi et al.¹ We would like to acknowledge 3 key points presented in the article. First, the authors presented a novel objective technique—a drug-induced sleep endoscopy technique implemented with simultaneous polygraphic monitoring of cardiorespiratory parameters (DISE-PG)—for capt...
Clinicians lack in robust continuous measurements on important aspects of prescribed home long-term oxygen therapy (LTOT) for chronic obstructive pulmonary disease (COPD) such as the usage and the wellbeing of the patient whilst using the machine. Consequently, it is challenging to objectively determine if LTOT is beneficial for the patient but als...
A desktop based real time oxygen auto-ventilation and gas monitoring system is proposed for home care respiratory application. The system consists of four sub-systems: oxygen monitoring system, oxygen ventilation system, gas monitoring system, and data transfer system. An oximeter transmits arterial oxygen saturation level and heart rate to the des...
A portable mobile real time oxygen monitoring auto-ventilation system using a mobile phone, oximeter, mass gas flow controller, and a portable oxygen cylinder is proposed. The system consists of a tele-monitoring system and an oxygen tele-controller system. The tele-monitoring system consists of a mobile phone and a portable oximeter. The oximeter...
A semi-automatic image segmentation technique, the Dijemeni Algorithm, is proposed for segmenting MRI scans of the human forearm. This technique is applied to segmenting axial T1 and T2 weighted MRI scans for computational electromagnetic modelling of the human forearm. Simulation results show its effectiveness in identifying different bone parts w...
I am interested in quantitatively assessing the sustainable impact of a company's products/services on the environment. I will like to represent the environmental impact of a company's product and services quantitatively. In addition, I will like to be able to compare different companies based on their products/services environmental impact based on a quantitative score/factor.
I am interested in statistical effectiveness of different surgical procedures. Given the only source of data I have is published papers. How can I measure the effectiveness of a surgical procedure based on only data in published papers?
I am interested in preprocessing DTI dataset of the calf using FSL FEAT. For the registration process, one of the input is a standard space model for the calf. Are there any free standard space MRI models for the calf muscle?
I am interested in knowing the different data formats of diffusion tension imaging datasets in order to design and develop a complete diffusion tension imaging file reader.
I am interested in optimising agricultural / farming practices in Africa using image processing. Are there any open image datasets from drones and/or satellites on different agriculture / farming applications in Africa?
I am interested in the role of image processing in the financial / investment industry. What are the interesting image processing projects / applications have been conducted in the financial / investment industry?
I am interested in MATLAB implementation of correcting ghosting effect in DWI datasets. Are there any MATLAB toolbox for correcting ghosting in DWI dataset?
I am interested in analysing muscle groups of the lower legs and looking for an MRI database of segmented muscle groups in the lower legs. Is there any MRI database of segmented muscles groups in the lower legs?
I am interested in automatic segmentation of different muscle types in the calf region using MATLAB. Please, are there any robust MATLAB toolbox for MRI Calf Muscle Segmentation?
I am interested in insight analysis and computational analysis Epworth Sleepiness Scale score. Please is there any published dataset / database on Epworth Sleepiness Scale score?
I am interested in capturing and visualizing different type of snoring sounds in real time during sleep. Please what is the best sound system / platform for real time sound acquisition and real time visualisation?