Browsing Electronic & Electrical Eng (Theses and Dissertations) by Sponsor "Irish Research Council (IRC)"
Now showing items 1-9 of 9
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Characterising the Human Auditory System using a Linear Least-Squares System Identification Approach
(Trinity College Dublin. School of Engineering. Discipline of Electronic & Elect. Engineering, 2019)Disabling hearing loss affects many millions of people around the world.Early identification and suitable interventions, e.g., the provision of hearing aids, cochlear implants, etc., can help but are limited ... -
Development of audio-based signal processing methods to objectively assess patient adherence in respiratory medicine
(Trinity College Dublin. School of Engineering. Discipline of Electronic & Elect. Engineering, 2018)Over four million people die every year from chronic respiratory diseases such as asthma and chronic obstructive pulmonary disease (COPD). There is no cure currently available for these diseases; however, they may be ... -
Investigating cortical encoding of auditory space & motion in humans using EEG
(Trinity College Dublin. School of Engineering. Discipline of Electronic & Elect. Engineering, 2020)This work uses a novel linear regression-based framework together with scalp recorded electroencephalography (EEG) to study various aspects of spatial hearing in humans. In our first study, we showed that in an acoustic ... -
Investigating the Neural Correlates of Cervical Dystonia and Temporal Discrimination using Neuroimaging based Computational Modelling and Multimodal Pattern Recognition
(Trinity College Dublin. School of Engineering. Discipline of Electronic & Elect. Engineering, 2020)Movement disorders, such as Parkinson s disease and Dystonia, have traditionally been considered as disorders of impaired motor control resulting predominantly from dysfunction of the Basal Ganglia. However, there has been ... -
Investigating the Neural Correlates of Speech Processing & Selective Auditory Attention using EEG
(Trinity College Dublin. School of Engineering. Discipline of Electronic & Elect. Engineering, 2020)Speech comprehension is a remarkable human ability. Most normal-hearing people are adept at attending to a speech stream even amidst a noisy multi-talker background and parsing the layers of information it contains in ... -
Isolating neural indices of continuous speech processing from multivariate neural data
(Trinity College Dublin. School of Engineering. Discipline of Electronic & Elect. Engineering, 2017)The human ability to understand speech is underpinned by a hierarchical auditory system whose successive stages process increasingly complex attributes of the auditory input. To produce categorical speech perception, it ... -
Massive MIMO and Millimetre Wave Technologies: Design, Application and Integration with ML Techniques for 5G and Beyond Networks
(Trinity College Dublin. School of Engineering. Discipline of Electronic & Elect. Engineering, 2021)Massive Multiple-Input-Multiple-Output (mMIMO) and millimetre Wave (mmWave) are key enabling technologies to realise omnipresent, scalable and dynamic 5-th Generation (5G) and beyond networks that provide seamless wireless ... -
The sense ensemble; An approach to music composition for deaf and hearing alike
(Trinity College Dublin. School of Engineering. Discipline of Electronic & Elect. Engineering, 2018)Effective music composition approaches for the deaf are investigated. After a review of existing methods for deaf musical engagement, the reasons for music being popularly regarded as an auditory-centred experience are ... -
Uncovering the effects of semantic context on the cortical processing of continuous speech using computational models of language
(Trinity College Dublin. School of Engineering. Discipline of Electronic & Elect. Engineering, 2021)The semantic context in which spoken words appear will greatly shape how they are understood by the human brain. This understanding is underpinned by a hierarchical system that processes increasingly abstract features of ...
