J
Jim Basilakis
Researcher at University of Western Sydney
Publications - 60
Citations - 1180
Jim Basilakis is an academic researcher from University of Western Sydney. The author has contributed to research in topics: Telecare & Telehealth. The author has an hindex of 16, co-authored 55 publications receiving 1042 citations. Previous affiliations of Jim Basilakis include University of Sydney & University of New South Wales.
Papers
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Journal ArticleDOI
Using information technology to improve the management of chronic disease.
TL;DR: A clinical case study demonstrates how early identification of adverse trends in clinical signs recorded in the home can either avoid hospital readmission or reduce the length of hospital stay.
Proceedings ArticleDOI
A system for monitoring posture and physical activity using accelerometers
TL;DR: A novel system is described for objectively and continuously monitoring movement, suitable for patients with chronic diseases including congestive heart failure and chronic obstructive pulmonary disease.
Journal ArticleDOI
A systematic review of speech recognition technology in health care
Maree Johnson,Maree Johnson,Samuel Lapkin,Samuel Lapkin,Vanessa Long,Paula Sanchez,Hanna Suominen,Jim Basilakis,Linda Dawson +8 more
TL;DR: Speech recognition systems have substantial benefits and should be considered in light of the cost and selection of the SR system, training requirements, length of the transcription task, potential use of macros and templates, the presence of accented voices or experienced and in-experienced typists, and workflow patterns.
Journal ArticleDOI
Predicting the risk of exacerbation in patients with chronic obstructive pulmonary disease using home telehealth measurement data.
Mas S. Mohktar,Mas S. Mohktar,Stephen J. Redmond,Nick C. Antoniades,Peter D Rochford,Jeffrey J. Pretto,Jim Basilakis,Nigel H. Lovell,Christine F McDonald +8 more
TL;DR: A classification algorithm for the early identification of patients, with a background of chronic obstructive pulmonary disease (COPD), who appear to be at high risk of an imminent exacerbation event is developed and validated using telehealth measurement data recorded from patients with moderate/severe COPD living at home.
Journal ArticleDOI
Electrocardiogram signal quality measures for unsupervised telehealth environments
TL;DR: The results indicate that the assessment of the quality of single-lead ECG recordings, acquired in unsupervised telehealth environments, is entirely feasible and may help to promote the acceptance and utility of future decision support systems for remotely managing chronic disease conditions.