All Outputs (18)

Change management: A systematic review on implementing robotic technology in healthcare (2025)
Journal Article

This study investigates how change management (CM) practices support the adoption of robotic technologies in healthcare. It aims to identify effective implementation strategies and develop a framework tailored to the organisational realities of compl... Read More about Change management: A systematic review on implementing robotic technology in healthcare.

Adapting deep-learning audio models for abnormal EEG classification (2025)
Presentation / Conference Contribution

EEG signal analysis and audio processing, though distinct in application, share inherent structural similarities in their data patterns. Recognizing this parallel, our study pioneers the application of two renowned audio processing models, PaSST and... Read More about Adapting deep-learning audio models for abnormal EEG classification.

Affective computing in anxiety disorders: A rapid literature review of emotion recognition applications (2025)
Presentation / Conference Contribution

Anxiety disorders (ADs) affect roughly one in ten people in the UK, and this number is expected to increase, intensifying the need for innovation. Digital technologies such as affective computing (AC, technology to detect human emotions) could foster... Read More about Affective computing in anxiety disorders: A rapid literature review of emotion recognition applications.

Exploring the EarMetrics concept: The bony ear canal as a non-pigmented site for photoplethysmography (2025)
Presentation / Conference Contribution

Photoplethysmography (PPG) is a well-established form of physiological sensing, but persistent challenges include skin-tone-dependent variations in performance and trade-offs between performance and acceptance factors in site selection. We propose th... Read More about Exploring the EarMetrics concept: The bony ear canal as a non-pigmented site for photoplethysmography.

Automation across interconnected smart homes (2024)
Presentation / Conference Contribution

This paper presents an affordable, open-source approach to enable interconnected smart homes, with emphasis on facilitating new modes of ambient interaction to address loneliness. Our system is designed to minimize dependence on the user's technical... Read More about Automation across interconnected smart homes.

Trusted research environments for health data (2024)
Digital Artefact

This video captures the workshop on 'Trusted Research Environments for Health Data', delivered by David Western, Felix Ritchie, and Andy Gibson. This was part of the Connect, Collaborate, Create with Data and AI 2023 event organised by UWE Bristol an... Read More about Trusted research environments for health data.

Scope and arbitration in machine learning clinical EEG classification (2023)
Presentation / Conference Contribution

A key task in clinical EEG interpretation is to classify a recording or session as normal or abnormal. In machine learning approaches to this task, recordings are typically divided into shorter windows for practical reasons, and these windows inherit... Read More about Scope and arbitration in machine learning clinical EEG classification.

Exploring the potential of a pronunciation guide app to support non-native speaking students in higher education (2023)
Presentation / Conference Contribution

Non-native speaking (NNS) students form an important part of the student population in the UK and many other countries’ higher education sectors. They face numerous additional challenges compared with their native speaking counterparts. Software to s... Read More about Exploring the potential of a pronunciation guide app to support non-native speaking students in higher education.

Disclosure control issues in complex medical data (2023)
Presentation / Conference Contribution

The covid19 pandemic assisted the acceleration of routine access to medical records for research. In the UK platforms including OpenSafely and NHSDigital, alongside emerging hospital trust based Trusted Research Environments (TREs), demonstrate the u... Read More about Disclosure control issues in complex medical data.

Automatic report-based labelling of clinical EEGs for classifier training (2022)
Presentation / Conference Contribution

Machine learning classifiers for detection of abnormal clinical electroencephalography (EEG) signals have advanced signficantly in recent years, largely supported by the carefully curated Temple University Hospital Abnormal EEG Corpus (TUAB). Further... Read More about Automatic report-based labelling of clinical EEGs for classifier training.

A corroborative approach to verification and validation of human–robot teams (2019)
Journal Article

© The Author(s) 2019. We present an approach for the verification and validation (V&V) of robot assistants in the context of human–robot interactions, to demonstrate their trustworthiness through corroborative evidence of their safety and functional... Read More about A corroborative approach to verification and validation of human–robot teams.

Personalised profiling to identify clinically relevant changes in tremor due to multiple sclerosis (2019)
Journal Article

Background: There is growing interest in sensor-based assessment of upper limb tremor in multiple sclerosis and other movement disorders. However, previously such assessments have not been found to offer any improvement over conventional clinical obs... Read More about Personalised profiling to identify clinically relevant changes in tremor due to multiple sclerosis.

Systematic and realistic testing in simulation of control code for robots in collaborative human-robot interactions (2016)
Presentation / Conference Contribution

© Springer International Publishing Switzerland 2016. Industries such as flexible manufacturing and home care will be transformed by the presence of robotic assistants. Assurance of safety and functional soundness for these robotic systems will requi... Read More about Systematic and realistic testing in simulation of control code for robots in collaborative human-robot interactions.

Effective emotion regulation strategies improve fMRI and ECG markers of psychopathology in panic disorder: Implications for psychological treatment action (2015)
Journal Article

© 2015 Macmillan Publishers Limited. All rights reserved. Impairments in emotion regulation are thought to have a key role in the pathogenesis of anxiety disorders, but the neurobiological underpinnings contributing to vulnerability remain poorly und... Read More about Effective emotion regulation strategies improve fMRI and ECG markers of psychopathology in panic disorder: Implications for psychological treatment action.

Coverage-driven verification — An approach to verify code for robots that directly interact with humans (2015)
Presentation / Conference Contribution

© Springer International Publishing Switzerland 2015. Collaborative robots could transform several industries, such as manufacturing and healthcare, but they present a significant challenge to verification. The complex nature of their working environ... Read More about Coverage-driven verification — An approach to verify code for robots that directly interact with humans.

Measurement bias in activation-recovery intervals from unipolar electrograms (2015)
Journal Article

© the American Physiological Society. The activation-recovery interval (ARI) calculated from unipolar electrograms is regularly used as a convenient surrogate measure of local cardiac action potential durations (APD). This method enables important re... Read More about Measurement bias in activation-recovery intervals from unipolar electrograms.

Inverse dynamics modelling of upper-limb tremor, with cross-correlation analysis (2014)
Journal Article

A method to characterise upper-limb tremor using inverse dynamics modelling in combination with cross-correlation analyses is presented. A 15 degree-of-freedom inverse dynamics model is used to estimate the joint torques required to produce the measu... Read More about Inverse dynamics modelling of upper-limb tremor, with cross-correlation analysis.

Effect of mental challenge induced by movie clips on action potential duration in normal human subjects independent of heart rate (2014)
Journal Article

Background-Mental stress and emotion have long been associated with ventricular arrhythmias and sudden death in animal models and humans. The effect of mental challenge on ventricular action potential duration (APD) in conscious healthy humans has no... Read More about Effect of mental challenge induced by movie clips on action potential duration in normal human subjects independent of heart rate.