Medicine and Health Sciences Commons^™

Exploring The Design Of Low-End Technology To Increase Patient Connectivity To Electronic Health Records, Rens Kievit, Abdullahi Abubakar Kawu, Mirjam Van Reisen, Dympna O'Sullivan, Lucy Hederman

Conference papers

The tracking of the vitals of patients with long term health problems is essential for clinicians to determine proper care. Using Patient Generated Health Data (PGHD) communicated remotely allows patients to be monitored without requiring frequent hospital visits. Issues might arise when the communication of data digitally is difficult or impossible due to a lack of access to internet or a low level of digital literacy as is the case in many African countries. The VODAN-Africa project (van Reisen et al., 2021) started in 2020 and has greatly increased the capabilities of clinics in different countries in both Africa and …

Chatting For Change: Insights Into And Directions For Using Online Peer Support Groups To Interrupt Prolonged Workplace Sitting, Ekaterina Uetova, Lucy Hederman, Dympna O'Sullivan, Robert J. Ross, Marily Oppezzo

Conference papers

Prolonged sedentary behavior and insufficient physical activity increase the risk for non-communicable diseases. Online peer support groups, driven by the widespread use of mobile phones and social media, have gained popularity among people seeking health condition management advice. This position paper examines the role of online peer support groups within a behaviour change intervention, MOV’D (Move Often eVery Day), which promotes physical activity and reduces sedentary behavior in the workplace. We conducted a thematic analysis of post-study interviews from two randomized control trials to identify the benefits and limitations of online peer support groups and provide recommendations for improvement. We …

The Suitability Of Demand-Controlled Sensor Based Ventilation Systems In Retrofit Dwellings - A Longitudinal Study., Seamus Harrington, Mark Mulville

Conference papers

A fabric-first approach to dwelling retrofit results in increased airtightness, therefore there is an obligation to ensure that the upgrades do not lead to poor indoor air quality (IAQ) resulting from inadequate ventilation. The sensor-based demand-controlled ventilation (SBDCV) under review seeks to provide fresh air for breathing and to dilute and exhaust pollutants and odours. This system modulates the ventilation rate over time based on relative humidity levels and/or presence detection and considers that the level of ventilation provided is sufficient to control the concentration of all other indoor air pollutants, including those that are not a result of human …

Optimisation Of Raman Spectral Processing For Classification Of Radiotherapeutic Toxicity, Isha Behl, Dinesh Medipally, Chris Talbot, Aidan Meade, Fiona Lyng

Conference papers

Severe radiation toxicity can continue years after the completion of radiotherapy for prostate cancer patients. Currently, it is impossible to predict before treatment which patients will experience these long-term side effects. New approaches based on vibrational spectroscopy have advantages over lymphocyte and genomic assays in terms of minimal sample preparation, speed and cost. A high throughput method has been developed to measure Raman spectra from liquid plasma in a cover glass bottomed 96 well plate. However, the Raman spectra can show contributions from glass and water. The current study aims to optimise pre-processing steps to improve classification performance.

The Clinical Transferability Of Raman Micro-Spectroscopic Systems For Cervical Cytopathology, Rubina Shaikh Dr, Sarah Loughlin, Alison Malkin, John J. O'Leary, Cara M. Martin, Fiona Lyng

Conference papers

The clinical potential for Raman microscopic systems is well established for early diagnosis via cytology. Although Raman systems offer a complementary diagnostic tool providing molecular information, it is not yet utilised substantially in clinics. A few challenges for the clinical implementation of Raman spectroscopy are system and user variability. In this study, we asked how much variability occurs due to different Raman systems or users. To address these questions, we measured the same set of cells using two different Raman microscopes and by two different users. And classification models were generated using multivariate partial least squares discriminant analysis (PLS-DA) and …

Medical Concept Mention Identification In Social Media Posts Using A Small Number Of Sample References, Vasudevan Nedumpozhimana, Sneha Rautmare, Meegan Gower, Maja Popovic, Nishtha Jain, Patricia Buffini, John Kelleher

Conference papers

Identification of mentions of medical concepts in social media text can provide useful information for caseload prediction of diseases like Covid-19 and Measles. We propose a simple model for the automatic identification of the medical concept mentions in the social media text. We validate the effectiveness of the proposed model on Twitter, Reddit, and News/Media datasets.

Identification Of Precancerous Oral Lesions Using Minimally Invasive Sampling Techniques And Raman Microspectroscopy, Isha Behl

Conference papers

The gold standard diagnosis of oral pre-cancer/cancer is an invasive biopsy followed by a histological examination, which may present psychological trauma and risk of infection to patients. Moreover, multiple biopsies are often required to monitor precancer lesions' progression. With the aim of reducing the need for multiple biopsies, this study was undertaken to identify pre-cancerous lesions using minimally invasive brush biopsy and saliva samples, analysed by Raman spectroscopy.

Thermodynamic Analysis Of Digestate Pyrolysis Coupled With Co2 Sorption, Antonella Dimotta, Cesare Freda

Conference papers

To date the management of digestate is a crucial task for anaerobic digestion process. In the present work a strategy for digestate management is thermodynamically analyzed by a commercial software for process simulation called CHEMCAD®. Pyrolysis of digestate is simulated by a minimization of the free Gibbs energy. The sequestration of the carbon dioxide (CO2) released by the pyrolysis is investigated by the addition of calcium oxide, in order to reduce CO2 emissions. The effect of the pyrolysis temperature between 400–900 °C and of the CaO/digestate mass ratio between 0–0.5 was discussed, as well. The CHEMCAD application allowed to investigate …

The Effects Of Differences In Vaccination Rates Across Socioeconomic Groups On The Size Of Measles Outbreaks, Elizabeth Hunter, John D. Kelleher

Conference papers

Vaccination rates are often presented at the level of a country or region. However, within those areas there might be geographic or demographic pockets that have higher or lower vaccination rates. We use an agent-based model designed to simulate the spread of measles in Irish towns to examine if the effectiveness of vaccination rates to reduce disease at a population level is sensitive to the uniformity of vaccinations across socioeconomic groups. We find that when vaccinations are not applied evenly across socioeconomic groups we see more outbreaks and outbreaks with larger magnitudes.

An Analysis Of The Interpretability Of Neural Networks Trained On Magnetic Resonance Imaging For Stroke Outcome Prediction, Esra Zihni, John D. Kelleher, Bryony Mcgarry

Conference papers

Applying deep learning models to MRI scans of acute stroke patients to extract features that are indicative of short-term outcome could assist a clinician’s treatment decisions. Deep learning models are usually accurate but are not easily interpretable. Here, we trained a convolutional neural network on ADC maps from hyperacute ischaemic stroke patients for prediction of short-term functional outcome and used an interpretability technique to highlight regions in the ADC maps that were most important in the prediction of a bad outcome. Although highly accurate, the model’s predictions were not based on aspects of the ADC maps related to stroke pathophysiology.

Physiological Measurements For Real-Time Fatigue Monitoring In Train Drivers: Review Of The State Of The Art And Reframing The Problem, Bojana Bjegojevic, Maria Chiara Leva, Nora Balfe, Sam D. Cromie, Luca Longo

Conference papers

The impact of fatigue on train drivers is one of the most important safety-critical issues in rail. It affects drivers’ performance, significantly contributing to railway incidents and accidents. To address the issue of real-time fatigue detection in drivers, most reliable and applicable psychophysiological indicators of fatigue need to be identified. Hence, this paper aims to examine and present the current state of the art in physiological measures for real-time fatigue monitoring that could be applied in the train driving context. Three groups of such measures are identified: EEG, eye-tracking and heart-rate measures. This is the first paper to provide the …

A Class Act - Revising Food Classifications To Enable Automated Assessment Of Compliance With Food-Based Dietary Guidelines, H. Al-Sehaim, F. E. Douglas

Conference papers

Food classification systems make it easier to compare data from various sources and aids in the creation of public health guidelines. These systems can include a large amount of foods divided into various food groups and broader food categories.(1) Nutritics employs a standardised food categorisation system containing 114 unique categories. Food-based dietary guidelines (FBDG) categorise food types into general food groups to enable communication around amounts to consume daily basis to promote good health.(2) The correct classification of foods is essential to enable the implementation of an automated feature in Nutritics to assess compliance with FBDGs.This project aims to revise …

Human Skills Assessment As A Support To Human Factor Management, Lorenzo Comberti, Micaela Demichela, Maria Chiara Leva

Conference papers

Automatization, robotics and Industry 4.0 are deeply modifying the working condition with an expected reduction of the number of workers employed in traditional job and an increasing request of new professions. Despite these technologies could limit the involvement of workers, in some sectors humans are still widely employed, as in assembly line of manufacturing companies. As a consequence of this, the Human Factor (HF) will still have relevant influence in term efficiency, quality and safety performances.

This paper approached the HF analysis into the manufacturing field in an assembly line. This study was focused on the analysis of those human-skills …

Driver Persistence, Safety And Older Adult Self-Efficacy: Addressing Driving Challenges Using Innovative Multimodal Communication Concepts, Joan Cahill, Katie Crowley, Sam Cromie, Alison Kay, Michael Gormley, Eamonn Kenny, Sonja Hermann, Ciaran Doyle, Ann Hever, Robert J. Ross

Conference papers

New assisted driving technology provides a solution to enabling driver persistence while also addressing older adult fitness to drive issues. The proposed driver assistance system follows a detailed literature review, an analysis of secondary data, and the specification of a solution using human machine interaction (HMI) design methods. Overall, the assisted driving concept follows from a principled/ethical perspective in relation to promoting self-efficacy and enablement for older adults. The system is conceptualized as a supportive friend or ‘co-pilot’. It is argued that the use of new car-based sensors, along with machine learning intelligence and novel multimodal HMI communication methods will …

Start Of Epidemy In A City: Short-Term Forecast Of Covid-19 With Gmdh-Based Algorithms And Official Medical Statistics, Anna Boldyreva, Mikhail Alexandrov, Olexiy Koshulko, Svetland Popova

Conference papers

The sudden onset and quick development of an unknown epidemic may lead to tragic consequences: panic of population due to victims and unpreparedness of authorities for effectively help to population. These circumstances define extremely high requirements to the tools for short-term operational forecast. Namely, such tools should provide reliable results when model of phenomenon is unknown (factors of disease spreading) and data are limited (time series of observations). GMDH-based algorithms just meet these requirements unlike modern differential or advanced statistical models. In this study we test different algorithms from GMDH Shell platform on the example of Covid-19 epidemic in Moscow …

Human Performance In Manufacturing Tasks: Optimization And Assessment Of Required Workload And Capabilities, Maria Chiara Leva, Lorenzo Comberti, Micaela Demichela, Alberto Caimo

Conference papers

This paper discusses some examples where human performance and or human error prediction was achieved by using a modified version of the Rasch model(1980), where the probability of a specified outcome is modelled as a logistic function of the difference between the person capacity and item difficulty. The model needs to be modified to take into account an outcome that may not be dichotomous and o take into account the interaction between two macro factors: (a) Task complexity: that summarises all factors contributing to physical and mental workload requirements for execution of a given operative task & (b) Human capability: …

Building A Risk Model For The Patient-Centred Care Of Multiple Chronic Diseases, Stephane Deparis, Pierpaolo Tommasi, Alessandra Pascale, Hicham Rifai, Julie Doyle, John Dinsmore

Conference papers

With the increase of multimorbidity due to population ageing, managing multiple chronic health conditions is a rising challenge. Machine-learning can contribute to a better understanding of persons with multimorbidity (PwMs) and how to design an effective framework of care and support for them. We present a risk model of older PwMs that was derived from the TILDA dataset, a longitudinal study of the ageing Irish population. This model is based on a 26-nodes Bayesian network that represents patients possibly having one or more chronic conditions among diabetes, chronic obstructive pulmonary disease and arthritis, through a joint probability distribution of demographic, …

Investigation Of Wavenumber Calibration For Raman Spectroscopy Using A Polymer Reference, Dongyue Liu, Hugh Byrne, Luke O'Neill, Bryan M. Hennelly

Conference papers

Raman spectroscopy is an optical technique that can be used to evaluate the biomolecular composition of tissue and cell samples in a real-time and non-invasive manner. Subtle differences between datasets of spectra obtained from related cell groups can be identified using multivariate statistical algorithms. Such techniques are highly sensitive to small errors, however, and, therefore, the classification sensitivity of Raman spectroscopy can be significantly impacted by miscalibration of the optical system due to small misalignments of the optical elements and/or variation in ambient temperature. Wavenumber calibration is often achieved by recording the spectrum from a wavenumber reference standard, such as …

Diagnosis Of Advanced Skin Cancer Using Infrared Spectral Histopathology, Cassio A. Lima, Luciana Correa, Hugh Byrne, Denise M. Zezell

Conference papers

Abstract: In this study, we investigated the feasibility of Infrared Spectral Histopathology to diagnose invasive squamous cell carcinoma using hematoxylin and eosin stained tissue placed on conventional glass slides, as used in the pathologist workflow.

The Benefits Of Task And Cognitive Workload Support For Operators In Ground Handling, Maria Chiara Leva, Yilmar Builes

Conference papers

The scope of the present work is to report an action research project applied to the relationship of task and cognitive workload support on one of the most important aspects of an airport: ground handling. At the beginning of the project workload management was not in the scope of work but as the project progressed and preliminary results and feedback were gained the researcher came to realize that some form of workload management support was also achieved as a by-product. The present paper is an attempt to account for what was achieved and how. Safe and efficient ground handling during …

Risk Register And Risk Intelligence: The Challenge Of Operational Risks In The Energy Sector, Maria Chiara Leva, B. Mcaleer, M. Rocke, D. Brogan

Conference papers

This paper presents the needs and the challenges encountered in developing a company-wide risk register in the energy sector. The study presented comes from an electricity generation company and it was useful to indicate areas where the concept of risk registers could be extended to make better use of existing data and to support continuous improvement of risk management. Six key areas are discussed 1) aggregation of risks across the business, 2) supporting controls over mitigation measures, 3) improved estimation of event likelihood, 4) integrating with critical asset registers, 5) improving risk communication, and 6) linking with day-to-day operational practice. …

The Impact Of Regulatory Changes On The Development Of Mobile Medical Apps, Martin Mchugh, Deirdre Lillis

Conference papers

Mobile applications are being used to perform a wide variety of tasks in day-to-day life ranging from checking email, to controlling your home heating. Application developers have recognized the potential to transform a smart device into a medical device, by using a mobile medical application i.e. a mobile phone or a tablet. When initially conceived these mobile medical applications performed basic functions e.g. BMI calculator, accessing reference material etc.; however, increasing complexity offers clinicians and patients a range of functionality. As this complexity and functionality increases, so too does the potential risk associated with using such an application. Examples include …

A Competitive Random Sequential Adsorption Model For Immunoassay Activity, Dana Mackey, Eilis Kelly, Robert Nooney

Conference papers

Immunoassays rely on highly specific reactions between antibodies and antigens and are used in biomedical diagnostics applications to detect biomarkers for a variety of diseases. Antibody immobilization to solid interfaces through random adsorption is a widely used technique but has the disadvantage of severely reducing the antigen binding activity and, consequently, the assay performance. This paper proposes a simple mathematical framework, based on the theory known as competitive random sequential adsorption (CRSA), for describing how the activity of immobilized antibodies depends on their orientation and packing density and generalizes a previous model by introducing the antibody aspect ratio as an …

Analysis Of Glottal Source Parameters In Parkinsonian Speech, Jane Hanratty, Catherine Deegan, Mary Walsh, Barry Kirkpatrick

Conference papers

Diagnosis and monitoring of Parkinson's disease has a number of challenges as there is no definitive biomarker despite the broad range of symptoms. Research is ongoing to produce objective measures that can either diagnose Parkinson's or act as an objective decision support tool. Recent research on speech based measures have demonstrated promising results. This study aims to investigate the characteristics of the glottal source signal in Parkinsonian speech. An experiment is conducted in which a selection of glottal parameters are tested for their ability to discriminate between healthy and Parkinsonian speech. Results for each glottal parameter are presented for a …

Work Placement Blogs To Harness Diverse Learning Experiences And Foster A Community Of Practice, Julie Dunne

Conference papers

Students on work placement will have very different experiences from each other, however they are generally not connected to their peers, but working with professionals under the guidance of a college tutor. Therefore during placement they are not formally supported by peers and cannot learn from the diverse range of activities their peers will experience. An active learning community and a sense of connectedness to others are critical to real learning (LaPointe, 2008), while learning through participation in a community of practice involves sharing experiences and discovering how to improve by regularly interacting with peers (Wenger, 2002). The aim of …

Authentication Of Biometric Features Using Texture Coding For Id Cards, Jonathan Blackledge, Eugene Coyle

Conference papers

The use of image based information exchange has grown rapidly over the years in terms of both e-to-e image storage and transmission and in terms of maintaining paper documents in electronic form. Further, with the dramatic improvements in the quality of COTS (Commercial-Off-The-Shelf) printing and scanning devices, the ability to counterfeit electronic and printed documents has become a widespread problem. Consequently, there has been an increasing demand to develop digital watermarking techniques which can be applied to both electronic and printed images (and documents) that can be authenticated, prevent unauthorized copying of their content and, in the case of printed …

Convergence In Human Dialogues Time Series Analysis Of Acoustic Feature, Spyros Kousidis, David Dorran, Ciaran Mcdonnell, Eugene Coyle

Conference papers

Convergence of acoustic/prosodic (a/p) features between two speakers is a well-known property of human dialogue. It has been suggested that this particular aspect of human interaction should be implemented in spoken dialogue systems, so that they can be perceived as more “humanlike”. This paper presents a quantitative analysis method that can provide information required for modeling the phenomenon of convergence. The analysis is a combination of TAMA, a previously introduced data extraction method, and bivariate time series analysis. Results show significant correlation of a/p features between speaker dyads in the recorded dialogues analyzed, and indicate a significant,amount of feedback, which …

Monitoring Convergence Of Temporal Features In Spontaneous Dialogue Speech, Spyros Kousidis, David Dorran

Conference papers

This paper presents ongoing research on convergence of speech features in human dialogues, in view of simulating this behaviour in spoken dialogue systems. The TAMA method (time-aligned moving average), previously used on monitoring convergence of acoustic prosodic (a/p) features, is applied to temporal properties of speech (between-turn pauses and overlaps). The results are compared to those of an older study on the same features.

Towards Measuring Continuous Acoustic Feature Convergence In Unconstrained Spoken Dialogues, Spyros Kousidis, David Dorran, Yi Wang, Brian Vaughan, Charlie Cullen, Dermot Campbell, Ciaran Mcdonnell, Eugene Coyle

Conference papers

Acoustic/prosodic feature (a/p) convergence has been known to occur both in dialogues between humans, as well as in human-computer interactions. Understanding the form and function of convergence is desirable for developing next generation conversational agents, as this will help increase speech recognition performance and naturalness of synthesized speech. Currently, the underlying mechanisms by which continuous and bi-directional convergence occurs are not well understood. In this study, a direct comparison between time-aligned frames shows significant similarity in acoustic feature variation between the two speakers. The method described (TAMA) constitutes a first step towards a quantitative analysis of a/p convergence.

Framework And Architecture For The Management Of Event-Condition-Action (Eca) Rule Based Clinical Protocols, Kudakwashe Dube, Bing Wu, Jane Grimson

Conference papers

Computer-based support for the incorporation of clinical practice guidelines and protocol into daily practice has recently attracted a lot of research interest within the healthcare informatics area. The aim is not only to provide support for the flexible specification and execution of clinical guidelines or protocols but also the dynamic management of these guidelines or protocols. This paper presents a framework and architecture for the management of clinical protocols whose specification and execution models are based on the event-condition-action (ECA) rule paradigm.