Overview
Background
Recent News
August, 2019: Post Doctoral Researchers/Resercah Associates/PhD Candidates
A/Prof Abeyratne is accepting (2021) post-doctoral researchers/covering the areas of: pattern recognition, machine learning, respiratory sound analysis, digital signal processing and smart phone programming. Qualified students are invited to apply for PhD scholarships on a competitve basis.
June 2021:
Snore sound based Sleep Apnea diagnostics intellectual property developed by Dr. Udantha Abeyratne and his team are available for commercialisation. The technology is the culmination of 20 years of ground breaking work leading to four patent applications including two granted ones in the USA (the rest are under examination at various stages) and a large portfolio of peer reviewed publications in international scholarly journals. A Matlab implementation of re-trainable technology and performance comparions against American Academy of Sleep Medicine scoring critera of 2007 (AASM 2007) are available. Prior comparisons on Chicago Criteria ("AASM 1999") are also available via peer-reviewed literature. Our software models indicate that the technology can diagnose sleep apnea at a sensitivity and specificity approching that of a standard facility-based polysomnography (sensitivity, specificity around 90%, 90%-- cross validation studies). Note that the model development data sets available to us (n=100 approx) had been scored per AASM 2007 clinical criteria. Thus, the resulting models require a straight-forward re-training (re-calibration) process on AASM 2012 data before they can be used on subjects diagnosed under AASM 2012 criteria (which is the clinical scoring standard in effect since 2012).
-----------------------------------------------------------------------------------------------------------------------
Assoc./Prof. Udantha Abeyratne is the inventor of the cough-sound based respiratory diagnosis technology (ResApp Health Ltd. (ASX: RAP)) and snore sound based sleep apnea diagnosis technology SnoreSounds.
He earned a PhD (Biomedical Engineering) from Drexel University, USA, and MEng and BScEE degrees in Electrical & Electronic Engineering from Tokushima U, Japan and U Peradeniya, (video here) Sri Lanka respectively. He also received formal post-graduate training in Higher Education (Grad Cert , U of Queensland, Australia) and Paediatric Sleep Science (Grad Cert., U of Western Australia, Australia). He is a Senior Member of the Institute of Electrical & Electronic Engineers (IEEE, USA), and a full Member of the American Academy of Sleep Medicine (AASM).
Dr. Abeyratne started his research career with a paper on coding techniques for low-bandwidth communication channels. His master's thesis was on a machine learning approach to the human brain activity analysis using electroencephalography (EEG, Brain Waves) and evoked potentials. This approach won the best paper award in ISBET Brain Topography Conference (Osaka, Japan, 1990) and also placed Dr. Abeyratne as a finalist at the Young Investigators' Competition in IFMBE World Congress on Medical Physics and Biomedical Engineering, 1991 (Kyoto, Japan). He completed his PhD (1996) with Prof. Athina Petropulu as the advisor, working on Higher-Order-Spectra and medical ultrasound imaging. The thesis developed slice-based low-complexity algorithms for blind signal identification, tumor detection in ultarsound images, and image deconvolution.
Teaching Activities:
Assoc/Prof. Abeyratne has designed and taught university level courses on digital signal processing, electronic circuits, medical and general instrumentation, medical signal processing, medical imaging, control systems, project management and electromagnetic waves. He has supervised both undergraduate and postgraduate dissertation thesis projects in these areas. Within the last decade five students supervised by him won competitive awards at the UQ Innovation Expo.
Current Research Profile:
Assoc./Prof. Abeyratne's research interests encompass digital signal processing, machine learning, medical instrumentation, medical imaging, electrophysiology, bio-signal analysis and electronics. Over the last two decades A/Prof. Abeyratne has conceptualized, initiated and led the development of a number of innovative technologies funded by prestigious granting agencies such as the Bill & Melinda Gates Foundation, Australian Research Council and the A*-Star Singapore. His research programmes are characteristic of unorthodox approaches resulting in pioneering outcomes that produced spin-off companies, patents and scholarly publications. His research has recieved multiple peer accolades at the international level.
1. Electronic Instrument Design: hand-held ultrasound devices for medical, agricultural and industrial use; stethoscopes for the 21st century (The "Magithescope(c)", winner of two UQ Expo awards in 2013, 2014); biomimetic sensing devices (e.g. electronic nose, e-tongue), low-cost, portable electronic devices ("Tricoders") for diagnosing diseases such as apnea, asthma, pneumonia; wearable electrophysiological devices; real-time fatigue measurement and warning systems; hand-held instruments for the condition monitoring of machinery such as power transformers. Development of diagnostic and treatment devices for sleep apnea. Dr. Abeyratne is especially interested in developing accurate, multi-purpose and low-cost in-situ decision devices for applications in resource-poor regions of the world.
2. Diagnostic and Treatment Technology for Sleep Disorders: speech-like analysis of snore and breathing sounds; sleep diagnostic instrument design; sleep polysomnography, brain wave (EEG) analysis in sleep, quantification of fatigue and sleepiness; sleep apnea; design of apnea treatment devices (CPAP, dental devices); interaction of apnea and chronic diseases. mHealth approaches in sleep diagnostics. A/Prof. Abeyratne pioneered speech-like processing of respiratory sounds, leading to patents, papers and a spin-off company. He conceptualized and led the development of EEG based technology to quantifiy sleepiness in real-time in actual work environments. Outcomes of this program have recieved wide coverage in international media outlets due to its groundbreaking nature and the potential impact.
3. Respiratory Diagnostic Technology: diagnostic instrumentation and algorithm design for respiratory illnesses such as pneumonia, bronchiolitis, asthma, bronchiectasis and COPD; cough sound analysis in respiratory medicine; imaging technology for respiratory diagnosis; Portable diagnostic technologies and mHealth approaches for remote resource-poor areas of the world. About 1 million children below the age of 5 yrs die every year of pneumonia alone, mainly in remote resource-poor areas of the world. Poor access to diagnostics and medical treatment are the major reasons for pneumonia fatalities. A/Prof. Abeyratne proposed a ground-breaking new technology to diagnose pneumonia centred about cough sound analysis. For this research Dr. Abeyratne received funding from UQ, UniQuest and the Bill & Melinda Gates Foundation, which lauded the project (Page 4) as an exmaple for an innovative idea with high impact. Outcomes led to scholarly publications and contributed to patents as well as a spinoff company by UQ.
4. Signal Processing and Machine Intelligence: the analysis of bio-signals such as electroencephalography (EEG), electromyography (EMG); speech and industrial sound analysis, bowel sound analysis and the characterisation of inflammatory bowel disease; cardiovascular signal processing, source localization and blind source separation, higher order spectra, wavelets, pattern recognition, classifier design. Developing technology for monitoring the condition of Left Ventricular Assist Devices (LVAD).
5. mHealth: research on smart phone and other consumer devices as a platform for healthcare delivery. A/Prof Abeyratne is actively engaged in developing mHealth diagnostic solutions, including translating and customising sleep and respiratory technologies. He is also in the process of expanding the work to include meaningful deployment of the technology in both the developed and developing worlds, in collaboration with international NGOs, experts in community medicine, and the UQ spin-off companies resulting from the research program. New national and international collaborations are currently being negotiated to fund and facilitate this work.
The Research Team, Past & Present:
Associate professor Udantha Abeyratne, Dr. Keegan Kosasih (Past PhD graduate); Dr Duleep Herath (past PhD gradute, )Dr. Shahin Akhter (Past PhD graduate), Dr. Vinayak Swarnkar (Past PhD graduate ); Dr. Yusuf Amrulloh (Past PhD graduate); Dr. Shaminda de Silva (Past PhD graduate); Dr. Samantha Karunajeewa (Past PhD graduate); Dr. Suren Rathnayake (Past PhD graduate), Dr. Xiao Di (Past PhD graduate), Dr. T. Emoto (Past PhD work in UQ while at UT), ; Mrunal Markendeya (Current PhD Student); Karen McCloy (current PhD student), Ajith Wakwella (Past MPhil graduate); Lee Teck Hock (Past MPhil Graduate), Tang Xiaoyan (Past MPhil Graduate), Dr. Zhang Guanglan (Past MPhil Graduate), Dr. Syed Adnan (Past MPhil Graduate) and many past and present dissertation thesis students.
Research Collaborators:
Dr. Craig Hukins & Brett Duce (Princess Alexandra Hospital), Prof. Y. Kinouchi & Dr. T. Emoto (U of Tokushima, Japan), Dr. Sarah Biggs (Monash), Dr.Simon Smith (QUT), Dr. Chandima Ekanayake (Griffith U), Dr. Paul Porter (PMH Hospital), Prof. Anne Chang (Menzies School of Health Reserach, CDU), Dr. Scott Mckenzie (Princess Charles Hospital), Dr. Nirmal Weeresekera (JKMRC, UQ), Dr. Rina Triasih (Gadjah Mada U, Indonesia), Dr. K. Puvanendran (1998-2002: Singapore General Hospital, Singapore), Prof.Stanislaw Gubanski (Chalmers U, Sweden).
Availability
- Dr Udantha Abeyratne is:
- Available for supervision
- Media expert
Fields of research
Qualifications
- Bachelor (Honours) of Science (Advanced), University of Peradeniya
- Masters (Coursework) of Engineering, University of Tokushima
- Doctor of Philosophy, Drexel University
- Postgraduate Diploma in Education, The University of Queensland
- Postgraduate Diploma, University of Western Australia
Research interests
-
Cough Counting: Respiratory Diagnostics for the Developing and Developed Worlds
Cough is a common and one of the earliest symptoms in a range of respiratory diseases such as bronchitis, Congestive Heart Disease, pneumonia, asthma and pertussis. Cough frequency and coughing patterns can be useful in the differential diagnosis of diseases and in assessing the treatment outcomes. The nature of nocturnal cough patterns can also be highly useful in managing respiratory diseases. The manual counting of coughs in overnight (or long term) recordings is a tedious process. We are developing cough identification technology targeting ubiquitous consumer devices such as iPads/smart phones. Our methods will be available for both adults and children, including subjects with respiratory diseases. These methods need further development, validation and implementation on smart phones. Students with a background on Digital Signal Processing/Machine Learning/Pattern Recognition/iOS-Android programming and a keen interest in biomedical signal processing will be suitable for this project.
-
Differential Diagnosis of Pneumonia: Respiratory Diagnostics for the Developing and Developed Worlds
Pneumonia annually kills about a million children throughout the world. The vast majority of these deaths occur in resource poor regions such as the sub-Saharan Africa and remote Asia. Throughout the world pneumonia can be a serious problem in the aftermath of natural disasters and among the elderly. The management of pneumonia is difficult due to field-ready diagnostic facilities as well as the scarcity of trained healthcare workers. The World Health Organization (WHO) has developed a simple clinical algorithm to classify pneumonia. It has a reasonably high sensitivity but a poor specificity leading to over-prescription of antibiotics and the wastage of drug stocks. It has also met with operational challenges in remote communities. We are developing automated pneumonia diagnostic decision technology targeting ubiquitous consumer devices such as iPads/smart phones. Our mathematical algorithms will be available on self-contained smart phones. The phone will be used as the data acquisition, analysis and decision display unit. Our pilot studies indicate that it is indeed possible to diagnose pneumonia using cough sound analysis alone at high performance (sensitivity >90%, specificity>80%). We have also demonstrated that other clinical observations can be used alone, or, together with cough. Recent results we obtained suggest that other measurements alone (e.g. existence of runny nose, #days with runny nose, breathing rate and temperature) can achieve a sensitivity of 91% at the specificity around 72%. Specificity of our method is substantially higher than that, i.e., 38%, of the WHO algorithm while the sensitivities are similar. These methods need further development, validation and implementation on smart phones. Students with a background on Digital Signal Processing/Machine Learning/Pattern Recognition/iOS-Android programming and a keen interest in biomedical signal processing will be suitable for this project.
Research impacts
Patents rsulting from A/Prof Abeyratne's Research Programs:
Multi-parametric analysis of snore sounds for the community screening of sleep apnea with non-gaussianity index, #18880207, USA, Granted (2014); An expanded version under examination (#20150039110, USA, (2015)); Method and apparatus for determining sleep stages, Application #20110301487, USA (2011); A method and apparatus for processing patient sounds, application #2013239327 (Australia); #14/389291 (USA); #13768257.1 (Europe); 2015-502020 (Japan); #201380028268 (China); 10-2014-7030062 (Korea); About 5 other Australian & International PCT stage filings since 2005.
Research spinoff companies resulting from A/Prof Abeyratne's Research Programs (all through The University of Queensland):
News Media Coverage of Research Outputs:
More than 200 major news outlets have reported my work on sleep apnea and respiratory disgnostics. Examples include: ABC Science (Australia), Discovery News (USA), The Australian (Australia), Medical News Today (USA), Z-News (India), (Journal) Otolaryngology-Head & Neck Surgery, Springer USA Press Release, HealthLine News, Science Daily, Australian Life Sceintist, The Times (UK), Nine News (Australia) - video, CBC News (Canada), Sleep Review (journal), Lung Disease News, 2015.
Featured in Magazines
The Future of Healthcare, Ingenuity ("UQ Biomedical Engineering Research Addresses Global Issues", Pages 26-27), Discovery at UQ 2012 ("Sound Asleep?" Page 12), Bill & Melind Gates Foundation Discovery Stretegy Overview (page 4). International Innovation ("Field of Dreams"), UK, 2015.
Works
Search Professor Udantha Abeyratne’s works on UQ eSpace
2007
Conference Publication
Prediction of respiratory measurements based on cross embedding techniques
Rathnayake, S. and Abeyratne, U. R. (2007). Prediction of respiratory measurements based on cross embedding techniques. 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2007), Lyon, France, 23-26 August 2007. Piscataway, NJ, U.S.A.: IEEE - Institute of Electrical Electronics Engineers Inc.. doi: 10.1109/IEMBS.2007.4352219
2007
Conference Publication
Order estimation and screening of apneic snore sound using the Akaike Information Criterion
Inoue, Kunihiko, Akutagawa, Masatake, Emoto, Takahiro, Abeyratne, Udantha, Uemura, Tetsuya, Nagashino, Hirofumi and Kinouchi, Yohsuke (2007). Order estimation and screening of apneic snore sound using the Akaike Information Criterion. World Congress on Medical Physics and Biomedical Engineering 2006, Seoul, South Korea, 27 August - 1 September 2006. Berlin, Germany: Springer. doi: 10.1007/978-3-540-36841-0_272
2007
Journal Article
Inter-hemispheric asynchrony of the brain during events of apnoea and EEG arousals
Swarnkar, V., Abeyratne, U.R. and Hukins, C. (2007). Inter-hemispheric asynchrony of the brain during events of apnoea and EEG arousals. Physiological Measurement, 28 (8), 869-880. doi: 10.1088/0967-3334/28/8/010
2007
Conference Publication
Localization of an inert region in the brain using modified Levenberg Marquarts neural network
Katayama, Masato, Akutagawa, Masatake, Abeyratne, Udantha R., Kaji, Yoshio, Schichijo, Fumio, Nagashino, Hirofumi and Kinouchi, Yohsuke (2007). Localization of an inert region in the brain using modified Levenberg Marquarts neural network. 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2007), Lyon, France, 23-26 August 2007. Piscataway, USA: IEEE. doi: 10.1109/IEMBS.2007.4353237
2007
Journal Article
A region and gradient based active contour model and its application in boundary tracking on anal canal ultrasound images
Xiao, D., Ng, W.S., Tsang, C.B. and Abeyratne, U.R. (2007). A region and gradient based active contour model and its application in boundary tracking on anal canal ultrasound images. Pattern Recognition, 40 (12), 3522-3539. doi: 10.1016/j.patcog.2007.03.024
2007
Conference Publication
Prediction of polysomnographic measurements
Rathnayake, S. I. and Abeyratne, U. R. (2007). Prediction of polysomnographic measurements. 20th Australian Joint Conference on Artifical Intelligence, Gold Coast, Australia, 2-6 December 2007. Berlin, Germany: Springer-Verlag. doi: 10.1007/978-3-540-76928-6_15
2007
Conference Publication
Feature extraction for snore sound via neural network processing
Emoto, T., Abeyratne, U. R., Akutagawa, M., Nagashino, H. and Kinouchi, Y. (2007). Feature extraction for snore sound via neural network processing. 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2007), Lyon, France, 23-26 August 2007. Piscataway, NJ, U.S.A.: IEEE - Institute of Electrical Electronics Engineers Inc.. doi: 10.1109/IEMBS.2007.4353585
2007
Conference Publication
Neural networks for the novel diagnosis method based on clinical snoring sound analysis in apnea
Emoto, T., Abeyratne, U. R., Akutagawa, M., Nagashino, H. and Kinouchi, Y. (2007). Neural networks for the novel diagnosis method based on clinical snoring sound analysis in apnea. 10th World Congress on Medical Physics and Biomedical Engineering, WC 2006, Seoul, , August 27, 2006-September 1, 2006. Springer Verlag. doi: 10.1007/978-3-540-36841-0_224
2007
Journal Article
Mixed-phase modeling in snore sound analysis
Abeyratne, U.R., Karunajeewa, A.S. and Hukins, C. (2007). Mixed-phase modeling in snore sound analysis. Medical & Biological Engineering & Computing, 45 (8), 791-806. doi: 10.1007/s11517-007-0186-x
2007
Conference Publication
Sleep-stage and event dependency of brain asynchrony as manifested through surface EEG
Abeyratne, U. R., Swarnkar, V., Rathnayake, S. and Hukins, C. (2007). Sleep-stage and event dependency of brain asynchrony as manifested through surface EEG. 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2007), Lyon, France, 23-26 August 2007. Piscataway, NJ, U.S.A.: IEEE - Institute of Electrical Electronics Engineers Inc.. doi: 10.1109/IEMBS.2007.4352389
2006
Journal Article
Tracking the states of a nonlinear and nonstationary system in the weight-space of artificial neural networks
Emoto, T., Akutagawa, M., Abeyratne, U. R., Nagashino, H. and Kinouchi, Y. (2006). Tracking the states of a nonlinear and nonstationary system in the weight-space of artificial neural networks. Medical and Biological Engineering & Computing, 44 (1), 146-159. doi: 10.1007/s11517-005-0019-8
2006
Conference Publication
Statistical analysis of EEG arousals in sleep apnea syndrome
Swarnkar, V and Abeyratne, U R (2006). Statistical analysis of EEG arousals in sleep apnea syndrome. Fourth IASTED International Conference on Biomedical Engineering (BioMED 2006), Innsbruck, Austria, 15-17 February, 2006. Anaheim, USA: ACTA Press.
2006
Conference Publication
Left-right information flow in the brain during EEG arousals
Swarnkar, V., Abeyratne, Udantha R. and Karunajeewa, A. S. (2006). Left-right information flow in the brain during EEG arousals. 28th Annual International Conference IEEE Engineering in Medicine and Biology Society, New York, U.S.A., 30 August - 3 September, 2006. Piscataway, NJ, United States: IEEE. doi: 10.1109/IEMBS.2006.260093
2006
Conference Publication
Some limitations of localizing inert region from EEG
Katayama, Masato, Akutagawa, Masatake, Abeyratne, Udantha R., Kaji, Yoshio, Shichijo, Fumio, Nagashino, Hirofumi and Kinouchi, Yohsuke (2006). Some limitations of localizing inert region from EEG. ICBPE 2006: The International Conference on Biomedical and Pharmaceutical Engineering 2006, Singapore, Singapore, 11-14 December 2006. Piscataway, NJ, U.S.A.: Research Publishing Services, IEEE. doi: 10.1109/ICBPE.2006.348578
2006
Conference Publication
Autonic correlates of arousal from sleep in patients with sleep disorders
Karunajeewa, A. S., Cervena, K., Adjivon, B., Herrmann, F. R., Abeyratne, U. R. and Sforza, E. (2006). Autonic correlates of arousal from sleep in patients with sleep disorders. 18th Congress of the European Sleep Research Society, Innsbruck, Austria, 12-16 September 2006. Oxford ; Boston: Published on behalf of the European Sleep Research Society by Blackwell Science. doi: 10.1111/j.1365-2869.2006.00540_17.x
2006
Conference Publication
Dynamic data analysis in obstructive sleep apnea
Karunajeewa, A. S., Abeyratne, U .R., Rathnayake, S .I. and Swarnkar, V. (2006). Dynamic data analysis in obstructive sleep apnea. 28th Annual International Conference IEEE Engineering in Medicine and Biology Society, New York, U.S.A., 30 August - 3 September 2006. United States: IEEE (Institute for Electrical and Electronic Engineers). doi: 10.1109/IEMBS.2006.260203
2005
Conference Publication
Giant magnetoresistance based eddy-current sensor for high speed PCB detection
Koggalage, R, Chomsuwan, K, Yamada, S., Iwahara, M and Abeyratne, U. R. (2005). Giant magnetoresistance based eddy-current sensor for high speed PCB detection. ICIA 2005, Colombo, Sri Lanka, 15-18 December, 2005. Sri Lanka: Industrial Automation Research Centre.
2005
Conference Publication
Tracking the states of a nonlinear system in the weight-space of a feed-forward neural network
Emoto, Takahiro, Akutagawa, Masakate, Abeyratne, Udanthe R., Nagashino, Hirofumi and Kinouchi, Yohsuke (2005). Tracking the states of a nonlinear system in the weight-space of a feed-forward neural network. International Joint Conference on Neural Networks, Montreal, Canada, 31 July - 4 August 2005. USA: IEEE. doi: 10.1109/IJCNN.2005.1555812
2005
Conference Publication
A comparison of neural network and fast fourier transforn-based approach for the state analysis of brain
Emoto, T., Akutagawa, M., Abeyratne, U. R., Nagashino, H. and Kinouchi, Y. (2005). A comparison of neural network and fast fourier transforn-based approach for the state analysis of brain. International Conference on Neural Networks and Brain, Beijing, China, 13-15 October, 2005. USA: IEEE. doi: 10.1109/icnnb.2005.1614575
2005
Conference Publication
Inter-hemispheric asynchrony of the brain during apnea related EEG arousals
Swarnkar, V. and Abeyratne, U. R. (2005). Inter-hemispheric asynchrony of the brain during apnea related EEG arousals. ICIA 2005, Colombo, Sri Lanka, 15-18 December, 2005. Sri Lanka: Industrial Automation Research Centre.
Funding
Supervision
Availability
- Dr Udantha Abeyratne is:
- Available for supervision
Before you email them, read our advice on how to contact a supervisor.
Supervision history
Current supervision
-
Doctor Philosophy
Physiologic Signal Correlates of Vigilance Related Cognitive Decline in Patients with Obstructive Sleep Apnoea
Principal Advisor
Other advisors: Professor Nadeeka Dissanayaka
-
Doctor Philosophy
Physiologic Signal Correlates of Vigilance Related Cognitive Decline in Patients with Obstructive Sleep Apnoea
Principal Advisor
Other advisors: Professor Nadeeka Dissanayaka
Completed supervision
-
2025
Doctor Philosophy
Physiologic Signal Correlates of Vigilance Related Cognitive Decline in Patients with Obstructive Sleep Apnoea
Principal Advisor
Other advisors: Professor Nadeeka Dissanayaka
-
2023
Doctor Philosophy
Identifying level of upper airway obstructions centered on sleep related respiratory sounds in OSA patients
Principal Advisor
Other advisors: Dr Chamith Wijenayake
-
2020
Doctor Philosophy
Obstructive Sleep Apnea Detection using Automatic Speech Recognition Approaches
Principal Advisor
-
2017
Doctor Philosophy
Automatic identification of REM/NREM snores from Obstructive Sleep Apnea patients and estimation of OSA Severity
Principal Advisor
-
2017
Doctor Philosophy
On the Use of Cough Sound and Clinical Measurements for Diagnosing Childhood Pneumonia
Principal Advisor
-
2014
Doctor Philosophy
Automated Methods for Cough Assessments and Applications in Screening Paediatric Respiratory Diseases
Principal Advisor
-
2013
Doctor Philosophy
Snore sound analysis for automatic Obstructive Sleep Apnoea screening
Principal Advisor
-
2010
Doctor Philosophy
Nonlinear analysis of respiratory signals for diagnosis of sleep disordered breathing diseases
Principal Advisor
Other advisors: Dr Ian Wood
-
2010
Doctor Philosophy
Analysis of Snore Sound Pitch and Total Airway Response in Obstructive Sleep Apnoea Hypopnoea Detection
Principal Advisor
Other advisors: Emeritus Professor Stuart Crozier
-
2009
Doctor Philosophy
EEG based Macro-Sleep-Architecture and Apnea Severity Measures
Principal Advisor
-
2005
Master Philosophy
PROCESSING OF SNORE RELATED SOUNDS FOR THE DIAGNOSIS OF OBSTRUCTIVE SLEEP APNOEA (OSA)
Principal Advisor
Other advisors: Emeritus Professor Stuart Crozier
-
2023
Doctor Philosophy
Recognition and Location of Power Quality Disturbances and Anomalies in Electricity Networks
Associate Advisor
Other advisors: Dr Chandima Ekanayake, Dr Hui Ma
Media
Enquiries
Contact Dr Udantha Abeyratne directly for media enquiries about:
- Brain waves
- cough sound analysis
- Diagnosis of sleep disorders
- Diagnostic ultrasound
- fatigue & sleepiness
- Medical instrumentation
- mHealth
- respiratory diagnostics
- Sleep apnea
- Sleep disorders
- smart phone as a medical instrument
- Snoring
Need help?
For help with finding experts, story ideas and media enquiries, contact our Media team: