Artefact detection and removal algorithms for EEG diagnostic systems

The electroencephalogram (EEG) is a medical technology that is used in the monitoring of the brain and in the diagnosis of many neurological illnesses. Although coarse in its precision, the EEG is a non-invasive tool that requires minimal set-up times, and is suitably unobtrusive and mobile to allow continuous monitoring of the patient, either in clinical or domestic environments. Consequently, the EEG is the current tool-of-choice with which to continuously monitor the brain where temporal resolution, ease-of- use and mobility are important. Traditionally, EEG data are examined by a trained clinician who identifies neurological events of interest. However, recent advances in signal processing and machine learning techniques have allowed the automated detection of neurological events for many medical applications. In doing so, the burden of work on the clinician has been significantly reduced, improving the response time to illness, and allowing the relevant medical treatment to be administered within minutes rather than hours. However, as typical EEG signals are of the order of microvolts (μV ), contamination by signals arising from sources other than the brain is frequent. These extra-cerebral sources, known as artefacts, can significantly distort the EEG signal, making its interpretation difficult, and can dramatically disimprove automatic neurological event detection classification performance. This thesis therefore, contributes to the further improvement of auto- mated neurological event detection systems, by identifying some of the major obstacles in deploying these EEG systems in ambulatory and clinical environments so that the EEG technologies can emerge from the laboratory towards real-world settings, where they can have a real-impact on the lives of patients. In this context, the thesis tackles three major problems in EEG monitoring, namely: (i) the problem of head-movement artefacts in ambulatory EEG, (ii) the high numbers of false detections in state-of-the-art, automated, epileptiform activity detection systems and (iii) false detections in state-of-the-art, automated neonatal seizure detection systems. To accomplish this, the thesis employs a wide range of statistical, signal processing and machine learning techniques drawn from mathematics, engineering and computer science. The first body of work outlined in this thesis proposes a system to automatically detect head-movement artefacts in ambulatory EEG and utilises supervised machine learning classifiers to do so. The resulting head-movement artefact detection system is the first of its kind and offers accurate detection of head-movement artefacts in ambulatory EEG. Subsequently, addtional physiological signals, in the form of gyroscopes, are used to detect head-movements and in doing so, bring additional information to the head- movement artefact detection task. A framework for combining EEG and gyroscope signals is then developed, offering improved head-movement arte- fact detection. The artefact detection methods developed for ambulatory EEG are subsequently adapted for use in an automated epileptiform activity detection system. Information from support vector machines classifiers used to detect epileptiform activity is fused with information from artefact-specific detection classifiers in order to significantly reduce the number of false detections in the epileptiform activity detection system. By this means, epileptiform activity detection which compares favourably with other state-of-the-art systems is achieved. Finally, the problem of false detections in automated neonatal seizure detection is approached in an alternative manner; blind source separation techniques, complimented with information from additional physiological signals are used to remove respiration artefact from the EEG. In utilising these methods, some encouraging advances have been made in detecting and removing respiration artefacts from the neonatal EEG, and in doing so, the performance of the underlying diagnostic technology is improved, bringing its deployment in the real-world, clinical domain one step closer.

Prostate cancer treatment as an embodied rite of passage: impotence and incontinence as challenges to status reversal and reintegration

Introduction and Rationale: A central argument in the thesis is that performative acts of control, sexual potency and spontaneity are central to the continuous construction of embodied masculine identities. The acts of control, and particularly issues of spontaneity, are central to understandings and addressing the difficulties men face at varying levels of embodied identity. Using Watson’s (2000) ‘Male body schema’, I will explore the challenges and opportunities men face when negotiating normative, pragmatic, and experiential embodiment. I will later then explore the importance of these levels of embodiment to achieving visceral embodiment; or what I would define as a renewed unconscious satisfaction and ability to achieve and maintain normative, pragmatic and experiential forms of embodiment. Purpose and Objectives: Using the concept of liminality, and permanent liminality, the thesis explores how we can interpret and understand men’s experience of prostate cancer diagnosis and treatment, and their struggle to regain power and control in the context of diagnosis, and also the side effects to treatment. The strategies men adopt in seeking out personalised medical programmes of treatment with their doctors are explored in detail. The power and control that can be exercised over medical professionals and treatment options is demonstrated. Method: Collecting responses online from prostate specific discussion boards via gatekeepers, and from interviews on the ‘health talk’ online database, three intersecting conceptual categories - liminality, masculinity and the body/embodiment - are combined in this research. Liminality and ‘time’ are directly linked to notions of ‘success’ and ‘outcome’ during the treatment process, and mark distinct points at which men, and their families, expect measures or limits to have been reached. Exploring liminality within the context of Turner’s ‘rites of passage’, I explore the difficulty men face in concluding the third stage of the rites; reintegration. Results: Prostate cancer diagnosis and treatment, impotence and incontinence, in particular, have profound implications for the continuous construction of embodied masculine identities, and thus identity in general, making the construction of hegemonic ideals in the context of a highly ‘performative’ society highly troublesome. The issue of ‘spontaneity’ in the construction of various forms of embodied identities is of particular concern for men who contributed to this study.