ORCID Profile
0000-0002-2295-6818
Current Organisation
James Cook University
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Publisher: IEEE
Date: 11-2005
Publisher: Springer Science and Business Media LLC
Date: 13-02-2015
DOI: 10.1007/S10916-015-0191-9
Abstract: A worldwide demographic shift is in progress and the aged population proportion is projected to more than double across the next four decades. Our current healthcare models may not be adequate to handle this shift in demography, which may have serious consequences for the ageing population who are more prone to chronic diseases. One proposed remediation is to provide in-home assisted healthcare with technology-intervened approaches. Telemedicine, telehealth, e-health are paradigms found in scientific literature that provide clinical treatment through a technology intervention. In evidence-based medical science, these technology interventions are evaluated through clinical trials, which are targeted to measure improvements in medical conditions and the treatment's cost effectiveness. However, effectiveness of a technology also depends on the interaction pattern between the technology and its' users, especially the patients. This paper presents (1) a meta-synthesis of clinical trials for technology-intervened treatments of type 2 diabetes and (2) the Clinical User-Experience Evaluation (CUE). CUE is a recommendation for future telemedicine clinical trials that focuses on the patient as the user from Human-Computer Interaction (HCI) perspective and was developed as part of this research. The clinical trials reviewed were interpreted from a technology perspective and the non-medical or non-biological improvements of the users (patients) rather than the medical outcome. Results show that technology-intervened treatments provide positive behavior changes among patients and are potentially highly beneficial for chronic illness management such as type 2 diabetes. The results from the CUE method show how it complements clinical trials to capture patients' interaction with a technology.
Publisher: Informa UK Limited
Date: 02-02-2010
Publisher: Elsevier BV
Date: 11-1990
Publisher: Springer Science and Business Media LLC
Date: 12-05-2007
Publisher: IEEE
Date: 2007
Publisher: Inderscience Publishers
Date: 2015
Publisher: IEEE
Date: 12-2011
Publisher: IEEE
Date: 2011
Publisher: IEEE
Date: 12-2006
Publisher: IEEE
Date: 12-2011
Publisher: IEEE
Date: 2007
Publisher: Elsevier BV
Date: 05-2000
Publisher: American Chemical Society (ACS)
Date: 15-10-1993
DOI: 10.1021/AC00068A013
Publisher: IEEE
Date: 2007
Publisher: IEEE
Date: 12-2006
Publisher: Royal Society of Chemistry (RSC)
Date: 2000
DOI: 10.1039/A909102E
Publisher: IEEE
Date: 08-2014
Publisher: IEEE
Date: 12-2008
Publisher: American Chemical Society (ACS)
Date: 10-1988
DOI: 10.1021/JA00230A042
Publisher: IEEE
Date: 04-2015
Publisher: Springer International Publishing
Date: 2016
Publisher: IEEE
Date: 04-2015
Publisher: Elsevier BV
Date: 07-2016
Publisher: Royal Society of Chemistry (RSC)
Date: 1994
DOI: 10.1039/C39940001539
Publisher: Proceedings of the National Academy of Sciences
Date: 02-04-2002
Abstract: 1 H and 13 C NMR titrations in both CDCl 3 and CD 3 OD demonstrate that 4- tert -butylbenzoic acid interacts with both propane-1,2-diamine and propane-1,3-diamine to yield 1:2 host–guest complexes in these solvents. Based on this observation, the isolation of new three-dimensional molecular arrays through cocrystallization of the above diamines and 4- tert -butylbenzoic acid (in a 1:2 molar ratio) has been achieved. X-ray studies of these self-assembled structures show that they incorporate [propane-1,2-diamine⋅(4- tert -butylbenzoic acid) 2 ] or [propane-1,3-diamine⋅(4- tert -butylbenzoic acid) 2 ] hydrogen-bonded motifs. Three structural derivatives of the latter type (two monohydrate forms and one anhydrous form) have been characterized. The structures are compared with a previously described three-dimensional array based on the “parent” [ethane-1,2-diamine⋅(benzoic acid) 2 ] motif. Similarities occur between each of the structures. In each, a two-dimensional “ionic” layer consisting of an extensive network of hydrogen bonds is sandwiched between two “less polar” aromatic ring-containing layers. In the respective ionic layers, the carboxylic acid protons have been transferred onto the amines to yield diammonium cations, with all ammonium protons being involved in hydrogen bonding. In part, the adoption of these unusual layered structures seems to reflect a tendency toward maximization of both the number and strengths of the hydrogen bond interactions in the respective ionic layers.
Publisher: Royal Society of Chemistry (RSC)
Date: 25-10-2002
DOI: 10.1039/B206898B
Abstract: Biguanide-like bidentate ligands in a variety of transition metal complexes of different geometries exhibit conformational changes upon protonation/deprotonation that alter their capacity to recognise complementary hydrogen bonding motifs.
Publisher: Springer Science and Business Media LLC
Date: 12-05-2013
DOI: 10.1038/NCLIMATE1887
Publisher: Public Library of Science (PLoS)
Date: 08-04-2021
DOI: 10.1371/JOURNAL.PONE.0249843
Abstract: Continuous and non-invasive respiratory rate (RR) monitoring would significantly improve patient outcomes. Currently, RR is under-recorded in clinical environments and is often measured by manually counting breaths. In this work, we investigate the use of respiratory signal quality quantification and several neural network (NN) structures for improved RR estimation. We extract respiratory modulation signals from the electrocardiogram (ECG) and photoplethysmogram (PPG) signals, and calculate a possible RR from each extracted signal. We develop a straightforward and efficient respiratory quality index (RQI) scheme that determines the quality of each moonddulation-extracted respiration signal. We then develop NNs for the estimation of RR, using estimated RRs and their corresponding quality index as input features. We determine that calculating RQIs for modulation-extracted RRs decreased the mean absolute error (MAE) of our NNs by up to 38.17%. When trained and tested using 60-sec waveform segments, the proposed scheme achieved an MAE of 0.638 breaths per minute. Based on these results, our scheme could be readily implemented into non-invasive wearable devices for continuous RR measurement in many healthcare applications.
Publisher: ACM
Date: 02-12-2014
Publisher: Elsevier BV
Date: 08-2022
Publisher: IEEE
Date: 02-2010
Publisher: IEEE
Date: 12-2010
Publisher: Royal Society of Chemistry (RSC)
Date: 24-09-2002
DOI: 10.1039/B205776J
Abstract: A new second generation dendrimer incorporating nine S2N2-donor macrocyclic units that bind nine Pd(II) cations is reported.
Publisher: IEEE
Date: 12-2010
Publisher: MDPI AG
Date: 18-07-2012
DOI: 10.3390/S120709711
Publisher: Informa UK Limited
Date: 02-01-2014
Publisher: Elsevier BV
Date: 1992
Publisher: IEEE
Date: 12-2008
Publisher: IEEE
Date: 09-2012
Publisher: Elsevier BV
Date: 10-1996
Publisher: IEEE
Date: 09-2012
DOI: 10.1109/NBIS.2012.12
Publisher: Royal Society of Chemistry (RSC)
Date: 1991
DOI: 10.1039/DT9910000045
Publisher: Public Library of Science (PLoS)
Date: 08-08-2016
Publisher: ACM
Date: 05-08-2014
Publisher: Elsevier BV
Date: 07-1994
Publisher: Elsevier BV
Date: 02-2022
Publisher: Association for Computing Machinery (ACM)
Date: 12-2012
Abstract: Improved performance and a proven deployment strategy make SPDY a potential successor to HTTP.
Publisher: JMIR Publications Inc.
Date: 23-11-2017
Abstract: he use of telehealth to monitor patients from home is on the rise. Telehealth technology is evaluated in a clinical trial with measures of health outcomes and cost-effectiveness. However, what happens between a technology and the patients is not investigated during a clinical trial—the telehealth technology remains as a “black box.” Meanwhile, three decades of research in the discipline of human-computer interaction (HCI) presents design, implementation, and evaluation of technologies with a primary emphasis on users. HCI research has exposed the importance of user experience (UX) as an essential part of technology development and evaluation. his research investigates the UX of patients with type 2 diabetes mellitus (T2D) with a telehealth in-home monitoring device to manage T2D from home. We investigate how the UX during a clinical trial can be researched and what a clinical trial can learn from HCI research. e adopted an ethnographic philosophy and conducted a contextual inquiry due to time limitations followed by semistructured interviews of 9 T2D patients. We defined the method as Clinical User-experience Evaluation (CUE). The patients were enrolled in a telehealth clinical trial of T2D however, this research was an independent study conducted by information technologists and health researchers for a user-centered evaluation of telehealth. ey analytical findings were that patients valued the benefits of in-home monitoring, but the current device did not possess all functionalities that patients wanted. The results include patients’ experiences and emotions while using the device, patients’ perceived benefits of the device, and how patients domesticated the device. Further analysis showed the influence of the device on patients’ awareness, family involvement, and design implications for telehealth for T2D. CI could complement telehealth clinical trials and uncover knowledge about T2D patients’ UX and future design implications. Through HCI we can look into the “black box” phenomenon of clinical trials and create patient-centered telehealth solutions.
Publisher: JMIR Publications Inc.
Date: 06-06-2019
Publisher: Elsevier BV
Date: 03-2012
Publisher: ACM
Date: 05-08-2014
No related grants have been discovered for Ian Atkinson.