ORCID Profile
0000-0002-7636-4084
Current Organisation
Deakin University
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Publisher: Springer Science and Business Media LLC
Date: 27-03-2023
DOI: 10.1186/S12966-023-01439-9
Abstract: Digital interventions may help address low vegetable intake in adults, however there is limited understanding of the features that make them effective. We systematically reviewed digital interventions to increase vegetable intake to 1) describe the effectiveness of the interventions 2) examine links between effectiveness and use of co-design, personalisation, behavioural theories, and/or a policy framework and 3) identify other features that contribute to effectiveness. A systematic search strategy was used to identify eligible studies from MEDLINE, Embase, PsycINFO, Scopus, CINAHL, Cochrane Library, INFORMIT, IEEE Xplore and Clinical Trial Registries, published between January 2000 and August 2022. Digital interventions to increase vegetable intake were included, with effective interventions identified based on statistically significant improvement in vegetable intake. To identify policy-action gaps, studies were mapped across the three domains of the NOURISHING framework (i.e., behaviour change communication, food environment, and food system). Risk of bias was assessed using Cochrane tools for randomized, cluster randomized and non-randomized trials. Of the 1,347 records identified, 30 studies were included. Risk of bias was high or serious in most studies ( n = 25/30 83%). Approximately one quarter of the included interventions ( n = 8) were effective at improving vegetable intake. While the features of effective and ineffective interventions were similar, embedding of behaviour change theories (89% vs 61%) and inclusion of stakeholders in the design of the intervention (50% vs 38%) were more common among effective interventions. Only one (ineffective) intervention used true co-design. Although fewer effective interventions included personalisation (67% vs 81%), the degree of personalisation varied considerably between studies. All interventions mapped across the NOURISHING framework behaviour change communication domain, with one ineffective intervention also mapping across the food environment domain. Few digital interventions identified in this review were effective for increasing vegetable intake. Embedding behaviour change theories and involving stakeholders in intervention design may increase the likelihood of success. The under-utilisation of comprehensive co-design methods presents an opportunity to ensure that personalisation approaches better meet the needs of target populations. Moreover, future digital interventions should address both behaviour change and food environment influences on vegetable intake.
Publisher: Hindawi Limited
Date: 2014
DOI: 10.1155/2014/145870
Abstract: Affected by external noise and various nature disturbances, Wheel Force Transducer (WFT) signal may be completely submerged, and the sensitivity and the reliability of measurement can be strongly decreased. In this paper, a new wavelet packet denoising method based on sparse representation is proposed to remove the noises from WFT signal. In this method, the problem of recovering the noiseless signal is converted into an optimization problem of recovering the sparsity of their wavelet package coefficients, and the wavelet package coefficients of the noiseless signals can be obtained by the augmented Lagrange optimization method. Then the denoised WFT signal can be reconstructed by wavelet packet reconstruction. The experiments on simulation signal and WFT signal show that the proposed denoising method based on sparse representation is more effective for denoising WFT signal than the soft and hard threshold denoising methods.
Publisher: JMIR Publications Inc.
Date: 27-07-2022
Abstract: educing sedentary behaviour (SB) and increasing physical activity (PA) in people with type 2 diabetes (T2D) is associated with various positive health benefits. Just-in-time Adaptive Interventions (JITAIs) offer potential to target both these behaviours via more contextually aware, tailored, and personalised support. We have developed a JITAI intervention to promote sitting less and moving more in people with T2D. his paper presents the study protocol for a micro-randomised trial (MRT) to investigate whether motivational messages are effective in reducing time spent sitting in people with T2D, and to determine what behaviour change techniques are effective and in which context (e.g., location, etc.). six-week MRT design will be used. Twenty-two adults with T2D will be recruited. The intervention aims to reduce sitting time and increase time spent standing and walking, and comprises a mobile app (iMove), and a bespoke activity sensor (SORD), a messaging system and a secured database. Dependant on the randomisation sequence, participants will potentially receive motivational messages five times a day. ecruitment was initiated in October 2022. As of now, six participants (2 females and 4 males) have consented and enrolled in the study. Their baseline measurements have been completed and they have started using iMOVE. The mean age of six participants is 56.8 years and they were diagnosed with T2D for 9.4 years on average. he current study will inform the optimisation of digital behaviour change interventions to support people with T2D sit less and move more to increase daily PA. This study will generate new evidence about the immediate effectiveness of SB interventions, their active ingredients and associated factors. ustralian New Zealand Clinical Trial Registry (ACTRN12622000426785) anzctr.org.au/Trial/Registration/TrialReview.aspx?id=383664
Publisher: Trans Tech Publications, Ltd.
Date: 09-2013
DOI: 10.4028/WWW.SCIENTIFIC.NET/AMR.816-817.1126
Abstract: This paper proposes a new intelligent video surveillance system based on Android phone. By using Android phone, this system can be deployed easily and quickly. Compare with the traditional surveillance system, this new one uses Android phone to replace the large and expensive surveillance cameras. In addition, the functions of back-end equipment of the traditional system have been moved to the front-end equipment. With a modified invasion detection algorithm, the front-end equipment becomes more intelligent. This schema can significantly increase the mobility and flexibility of the entire system. Therefore this system will have a better performance dealing with emergencies in different surveillance scenarios. Moreover, this state-of-art intelligent video surveillance system not only brings a new method for surveillance, but also advances the development of surveillance techniques.
Publisher: IEEE
Date: 12-2021
DOI: 10.1109/ITHINGS-GREENCOM-CPSCOM-SMARTDATA-CYBERMATICS53846.2021.00023
Publisher: Elsevier BV
Date: 06-2023
Publisher: MDPI AG
Date: 09-03-2020
DOI: 10.3390/S20051510
Abstract: Background: A nanomaterial-based electronic-skin (E-Skin) wearable sensor has been successfully used for detecting and measuring body movements such as finger movement and foot pressure. The ultrathin and highly sensitive characteristics of E-Skin sensor make it a suitable alternative for continuously out-of-hospital lumbar–pelvic movement (LPM) monitoring. Monitoring these movements can help medical experts better understand in iduals’ low back pain experience. However, there is a lack of prior studies in this research area. Therefore, this paper explores the potential of E-Skin sensors to detect and measure the anatomical angles of lumbar–pelvic movements by building a linear relationship model to compare its performance to clinically validated inertial measurement unit (IMU)-based sensing system (ViMove). Methods: The paper first presents a review and classification of existing wireless sensing technologies for monitoring of body movements, and then it describes a series of experiments performed with E-Skin sensors for detecting five standard LPMs including flexion, extension, pelvic tilt, lateral flexion, and rotation, and measure their anatomical angles. The outputs of both E-Skin and ViMove sensors were recorded during each experiment and further analysed to build the comparative models to evaluate the performance of detecting and measuring LPMs. Results: E-Skin sensor outputs showed a persistently repeating pattern for each movement. Due to the ability to sense minor skin deformation by E-skin sensor, its reaction time in detecting lumbar–pelvic movement is quicker than ViMove by ~1 s. Conclusions: E-Skin sensors offer new capabilities for detecting and measuring lumbar–pelvic movements. They have lower cost compared to commercially available IMU-based systems and their non-invasive highly stretchable characteristic makes them more comfortable for long-term use. These features make them a suitable sensing technology for developing continuous, out-of-hospital real-time monitoring and management systems for in iduals with low back pain.
Publisher: JMIR Publications Inc.
Date: 06-09-2023
DOI: 10.2196/41502
Publisher: Springer Nature Switzerland
Date: 2022
Publisher: Elsevier BV
Date: 06-2022
DOI: 10.1016/J.BIOS.2022.114072
Abstract: Blood pressure (BP) is a cardiovascular parameter which exhibits significant variability. Whilst continuous BP monitoring would be of significant clinical utility. This is particularly challenging outside the hospital environment. New wearable cuff-based and cuffless BP monitoring technologies provide some capacity, however they have a number of limitations including bulkiness, rigidity and discomfort, poor accuracy and motion artefact. Here, we report on a lightweight, user-friendly, non-invasive wearable cardiac sensing system based on deformation-insensitive conductive gold nanowire foam (G-foam) and pressure-sensitive resistive gold nanowire electronic skin (G-skin). The G-foam could serve as a new soft dry bioelectrode for electrocardiogram (ECG) monitoring a new soft button-based G-skin design could avoid manual holding for continuous pulse recording. They could be integrated seamlessly with everyday bandage for facile wireless recording of ECG and artery pulses under real-word dynamic environments including walking, running, deep squatting, and jogging. Further machine learning algorithm was developed for estimation of systolic and diastolic BP, showing comparable accuracy to commercial cuff-based sphygmomanometer. The measured dynamic BP changes correlated well with the volunteer's daily activities, indicating the potential applications of our soft wearable systems for real-time diagnostics of cardiovascular functions in complex dynamic real-world setting.
Publisher: Frontiers Media SA
Date: 15-03-2023
DOI: 10.3389/FPUBH.2023.1092755
Abstract: Several research studies have demonstrated the potential of mobile health apps in supporting health management. However, the design and development process of these apps are rarely presented. We present the design and development of a smartphone-based lifestyle app integrating a wearable device for hypertension management. We used an intervention mapping approach for the development of theory- and evidence-based intervention in hypertension management. This consisted of six fundamental steps: needs assessment, matrices, theoretical methods and practical strategies, program design, adoption and implementation plan, and evaluation plan. To design the contents of the intervention, we performed a literature review to determine the preferences of people with hypertension (Step 1) and necessary objectives toward the promotion of self-management behaviors (Step 2). Based on these findings, we implemented theoretical and practical strategies in consultation with stakeholders and researchers (Steps 3), which was used to identify the functionality and develop an mHealth app (Step 4). The adoption (Step 5) and evaluation (Step 6) of the mHealth app will be conducted in a future study. Through the needs analysis, we identified that people with hypertension preferred having education, medication or treatment adherence, lifestyle modification, alcohol and smoking cessation and blood pressure monitoring support. We utilized MoSCoW analysis to consider four key elements, i.e., education, medication or treatment adherence, lifestyle modification and blood pressure support based on past experiences, and its potential benefits in hypertension management. Theoretical models such as (i) the information, motivation, and behavior skills model, and (ii) the patient health engagement model was implemented in the intervention development to ensure positive engagement and health behavior. Our app provides health education to people with hypertension related to their condition, while utilizing wearable devices to promote lifestyle modification and blood pressure management. The app also contains a clinician portal with rules and medication lists titrated by the clinician to ensure treatment adherence, with regular push notifications to prompt behavioral change. In addition, the app data can be reviewed by patients and clinicians as needed. This is the first study describing the design and development of an app that integrates a wearable blood pressure device and provides lifestyle support and hypertension management. Our theory-driven intervention for hypertension management is founded on the critical needs of people with hypertension to ensure treatment adherence and supports medication review and titration by clinicians. The intervention will be clinically evaluated in future studies to determine its effectiveness and usability.
Publisher: IEEE
Date: 03-2019
Publisher: ACM
Date: 07-12-2020
Publisher: JMIR Publications Inc.
Date: 02-10-2022
Abstract: everal research studies have demonstrated the potential of mobile health applications (apps) in supporting health management. However, the design and development process of these apps are rarely presented. e present the design and development of a smartphone-based lifestyle app integrating a wearable device for hypertension management. e used an intervention mapping approach for the development of theory- and evidence-based interventions for problem identification, problem-solving and mitigation strategies. This consisted of six fundamental steps of the intervention mapping approach: needs assessment, matrices, theoretical methods and practical strategies, program design, adoption and implementation plan, and evaluation plan. To design the contents of the intervention, we performed a literature review to determine the opinions and preferences of people with hypertension and implemented theoretical and practical strategies to support these needs in consultation with stakeholders and researchers. hrough the needs analysis, we identified that people with hypertension preferred having education, medication or treatment adherence, lifestyle modification, alcohol and smoking cessation and blood pressure monitoring support to manage their condition. Out of which, the authors utilized MoSCoW analysis to focus on four key elements, i.e., education, medication or treatment adherence, lifestyle modification and blood pressure support due to past experiences in developing interventions for hypertension, and its potential benefits in hypertension management. Theoretical models such as (i) the information, motivation, and behaviour skills (IMB) model, and (ii) the patient health engagement (PHE) model was implemented in the intervention development to ensure positive engagement and health behaviour. The app developed provides education to people with hypertension related to their condition, while utilizing wearable devices to promote lifestyle modification and blood pressure support. The app also contains rules and medication lists titrated by the clinician to ensure treatment adherence, with regular push notifications to prompt behavioural change. In addition, the app data can be reviewed by patients and clinicians as needed. his is the first study describing the development of an app that integrates a wearable blood pressure device and provides lifestyle support and hypertension management. Our theory-driven intervention for self-management of hypertension is founded on the critical needs of people with hypertension to ensure treatment adherence and supports medication review and titration by clinicians. The intervention will be evaluated clinically in future studies to determine its effectiveness and usability.
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2021
Publisher: Royal Society of Chemistry (RSC)
Date: 2022
DOI: 10.1039/D2NR01622B
Abstract: A mosquito-inspired 1D acoustic sensor is reported, comprising repeating soft joints (cracked Pt film) and rigid segments (non-cracked Pt film). By adjusting the joint positions and densities, we can fine-tune the acoustic sensing performance.
No related grants have been discovered for Yuxin Zhang.