Simon Jeffrey Mcbride

Unaffiliated

Background The Australian Imaging, Biomarkers and Lifestyle (AIBL) Study commenced in 2006 as a prospective study of 1,112 individuals (768 cognitively normal (CN), 133 with mild cognitive impairment (MCI), and 211 with Alzheimer’s disease dementia (AD)) as an ‘Inception cohort’ who underwent detailed ssessments every 18 months. Over the past decad...

Alzheimer's Disease (AD) is the most common form of dementia, characterised by extracellular amyloid deposition as plaques and intracellular neurofibrillary tangles of tau protein. As no current clinical test can diagnose individuals at risk of developing AD, the aim of this project is to evaluate a blood-based biomarker panel to identify individua...

Serious games and gamified simulations are increasingly being used to aid instruction in technical disciplines including the medical field. Assessments of player performance are important in understanding user profiles in order to establish serious games as a reliable, consistent method for increasing skills and competence in all trainees. In this...

People with neurological conditions such as Parkinson's disease and dementia are known to have difficulties in language and communication. This paper presents initial testing of an artificial conversational agent, called Harlie. Harlie runs on a smartphone and is able to converse with the user on a variety of topics. A description of the applicatio...

Smartphones are being used to track the health of individuals in their own environments. For example, a smartphone app could be used to monitor the impact and progression of Parkinson’s disease, as well as indicate whether treatments may need to be adjusted, based on an analysis of voice and discourse. The app uses smartphone audio sensors to detec...

Topic Area: Academic and Clinical Education Format: Educational Seminar (1h) Summary: The remote collection of speech/conversation data through smartphones can provide unique data to SLPs. But what ethico-legal aspects does a team of clinicians or researchers need to be aware of when remotely collecting such data? This presentation will discuss rea...

Educational Seminar The remote collection of speech/conversation data through smartphones can provide unique data to SLPs. But what ethico-legal aspects does a team of clinicians or researchers need to be aware of when remotely collecting such data? This presentation will discuss real-life examples of ethico-legal hurdles experienced by our researc...

Signal processing on digitally sampled vowel sounds for the detection of pathological voices has been firmly established. This work examines compression artifacts on vowel speech samples that have been compressed using the adaptive multi-rate codec at various bit-rates. Whereas previous work has used the sensitivity of machine learning algorithm to...

People with Parkinson’s disease are known to have difficulties in language and communication. This paper proposes the use of an artificial conversational agent, commonly known as a chat-bot that runs on a smart-phone device and performs two-way conversation with the user. In this paper, initial work on a Parkinson’s disease themed chat-bot that int...

Over 380 million adults worldwide are currently living with diabetes and the number has been projected to reach 590 million by 2035. Uncontrolled diabetes often lead to complications, disability, and early death. In the management of diabetes, dietary intervention to control carbohydrate intake is essential to help manage daily blood glucose level...

Telehealth services base on at-home monitoring of vital signs and the administration of clinical questionnaires are being increasingly used to manage chronic disease in the community, but few statistically robust studies are available in Australia to evaluate a wide range of health and socio-economic outcomes. The objectives of this study are use r...

Background Lifespace is a multidimensional construct that describes the geographic area in which a person lives and conducts their activities, and reflects mobility, health, and well-being. Traditionally, it has been measured by asking older people to self-report the length and frequency of trips taken and assistance required. Global Positioning Sy...

A lifespace assessment comprising of metrics and clustering algorithms is applied to a GPS data-set released by the Michael J. Fox Foundation. Seven participants of the study who had been diagnosed with Parkinson's disease of various levels carried a smart-phone which recorded GPS data every second. Metrics indicated a relationship between lifespac...

Stroke and poststroke depression are common and have a profound and ongoing impact on an individual's quality of life. However, reliable biological correlates of poststroke depression and functional outcome have not been well established in humans. Our aim is to identify biological factors, molecular and imaging, associated with poststroke depressi...

Behavioural mapping (BM) is a long established method of structured observational study used to understand where patients are and what they are doing within a hospital setting. BM is prominent in stroke rehabilitation research, where that research indicates patients spend most of their time at bed rest. We evaluate the technical feasibility of usin...

Background: The Australian Imaging, Biomarkers and Lifestyle (AIBL) Flagship Study of Ageing is a prospective study of 1,112 individuals (211 with Alzheimer's disease (AD), 133 with mild cognitive impairment (MCI), and 768 healthy controls (HCs)). Here we report diagnostic and cognitive findings at the first (18-month) follow-up of the cohort. The...

Clinical trial data have historically been implemented using relational databases. While this has expedited the dissemination of data among partners, it has hindered on the ability to swiftly query the data by relying on monolithic tables. This paper outlines a project that investigates the semantic enrichment of a large-scale longitudinal clinical...

A large scale, long term clinical study faced significant quality issues with its medications use data which had been collected from participants using paper forms and manually entered into a data capture system. A method was developed that automatically mapped 72.2% of the unique medication names collected for the study to the AMT and SNOMED CT-AU...

Thrombolytic therapy with tissue plasminogen activator is effective for acute ischaemic stroke within 4·5 h of onset. Patients who wake up with stroke are generally ineligible for stroke thrombolysis. We hypothesized that ischaemic stroke patients with significant penumbral mismatch on either magnetic resonance imaging or computer tomography at thr...

A decline in cognition greater than expected with ageing and accompanied by subjective cognitive concerns or functional changes may be indicative of a dementing disorder. The capacity to correctly identify cognitive decline relies on comparisons with normative data from a suitably matched healthy reference group with relatively homogeneous demograp...

Clinical research studies offer many challenges for their supporting information systems. AIBL assembled 1112 participants who volunteered crucial information for a comprehensive study on neurodegenerative diseases. This paper discusses the shortcomings of the clinical trial management system chosen to record the results of the study. A set of guid...

Data streams, or data sets which continuously and rapidly grow over time, are a prominent form of clinical data generated during the monitoring and treatment of patients in the health care industry. We propose the name Health Data Stream Analytics (HDSA) to the application of stream data processing to clinical data. Our work in this area is demonst...

Pattern recognition has been used extensively in medical information retrieval and data analyses. Specifically, it involves pattern classification, indexing, clustering, anomaly detection and rule detection. Among various patterns, trend is a simple yet powerful pattern that can be associated with many complex clinical symptoms. Detecting adverse c...

Health Information Technologies (HIT) are being deployed world- wide to improve access to individual patient information. Primarily this is through the development of electronic health records (EHR) and electronic medical records (EMR). While the proper collection of this data has reached a high level of maturity, the use and analysis of it is only...

The design and implementation of new product features must be mindful of the existing product architecture. This report describes how we transformed our product from instances that resided as isolated nodes to instances that are able to share knowledge with each other over a peer-to-peer network. Our product, Health Data Integration (HDI), is a too...

The increasing openness and heterogeneity of distributed computing systems requires the representation of meta-information in distributed environments. Most type management systems can only define types within particular type systems. In contrast, the DSTC's Meta-Object Facility (MOF) first defines a type system as a set of meta-meta-objects, and t...

The increasing openness and heterogeneity of distributed computing systems requires the representation of meta-information in distributed environments. This paper presents a conceptual framework for discussing meta-information, and describes the DSTC's design for a universal Meta-Information Manager (MIM) with the key properties of heterogeneity, e...