OBJECTIVE: This study aims to determine the background of recent studies on wheelchair control based on BCI for disability and map the literature survey into a coherent taxonomy. The study intends to identify the most important aspects in this emerging field as an impetus for using BCI for disability in electric-powered wheelchair (EPW) control, which remains a challenge. The study also attempts to provide recommendations for solving other existing limitations and challenges.
METHODS: We systematically searched all articles about EPW control based on BCI for disability in three popular databases: ScienceDirect, IEEE and Web of Science. These databases contain numerous articles that considerably influenced this field and cover most of the relevant theoretical and technical issues.
RESULTS: We selected 100 articles on the basis of our inclusion and exclusion criteria. A large set of articles (55) discussed on developing real-time wheelchair control systems based on BCI for disability signals. Another set of articles (25) focused on analysing BCI for disability signals for wheelchair control. The third set of articles (14) considered the simulation of wheelchair control based on BCI for disability signals. Four articles designed a framework for wheelchair control based on BCI for disability signals. Finally, one article reviewed concerns regarding wheelchair control based on BCI for disability signals.
DISCUSSION: Since 2007, researchers have pursued the possibility of using BCI for disability in EPW control through different approaches. Regardless of type, articles have focused on addressing limitations that impede the full efficiency of BCI for disability and recommended solutions for these limitations.
CONCLUSIONS: Studies on wheelchair control based on BCI for disability considerably influence society due to the large number of people with disability. Therefore, we aim to provide researchers and developers with a clear understanding of this platform and highlight the challenges and gaps in the current and future studies.
Methods: We assessed study-related records to determine the pace of data collection, response from potential participants, and feedback following data and sample collection. Overall and stratified measures of data and sample availability were summarised. Crude prevalence of key risk factors was examined.
Results: Approximately half (49.5%) of invited individuals consented to participate in this study, for a final sample size of 203 (161 adults and 42 children). Women were more likely to consent to participate compared with men, whereas children, young adults and individuals of Malay ethnicity were less likely to consent compared with older individuals or those of any other ethnicity. At least one biological sample (blood from all participants - finger-prick and venous [for serum, plasma and whole blood samples], hair or urine for adults only) was successfully collected from all participants, with blood test data available from over 90% of individuals. Among adults, urine samples were most commonly collected (97.5%), followed by any blood samples (91.9%) and hair samples (83.2%). Cardiometabolic risk factor burden was high (prevalence of elevated HbA1c among adults: 23.8%; of elevated triglycerides among adults: 38.1%; of elevated total cholesterol among children: 19.5%).
Conclusions: In this study, we show that it is feasible to create biodata resources using existing HDSS frameworks, and identify a potentially high burden of cardiometabolic risk factors that requires further evaluation in this population.
OBJECTIVES: To determine the self-esteem among oncology patients receiving chemotherapy in selected government state hospitals, Peninsular Malaysia.
METHODS: A cross-sectional study was conducted using selfadministered questionnaires. 953 respondents were given questionnaires which included socio-demographic profile, physical effect, depression, anxiety, quality of life and self esteem. Inferential analysis was done by using Independent T-test or Pearson's Correlation and the level of significance was p<0.05. Multivariate logistic regression was then used to determine the predictors using Statistical Package for Social Sciences software version 22.0 RESULTS: All 953 respondents selected participated in this study. The overall mean self-esteem in this study was 22.67, SD=4.98. The significant predictors of self-esteem where pvalue was <0.05 were age; gender; marital status; working status; anxiety; depression; nausea; anemia; hair loss; skin and nail changes; overall quality of life and psychological domain of quality of life. The finding of this study indicates that predictors of selfesteem among patients undergoing chemotherapy should be taken into account to improve their quality of life. Guidelines on how to manage self-esteem in a chemotherapy patient can be done using this study as the baseline.
METHODS: This was a parallel, open-label randomised controlled trial with participants recruited from psychiatric outpatient services of a teaching hospital in Kuala Lumpur and a secondary hospital in Melaka. Adults (≥18 years) diagnosed with major depressive disorder; capable of reading and understanding English or Bahasa Malaysia; prescribed with at least one antidepressant and owns a smart phone were subsequently randomly assigned (1:1) to receive treatment reminders (intervention) or standard treatment without reminders (control), using a computergenerated randomisation programme. The intervention group received two reminder categories: Outpatient appointment reminders (a day before appointment); and medication reminders (weekly basis). Participants were followed-up over two months. We utilised Montgomery- Asberg Depression Rating Scale (MADRS) to measure the severity of depression; and Brief Adherence Rating Scale (BARS) to assess medication adherence. Primary outcomes were outpatient attendance rates and medication adherence assessed at two months. Secondary outcomes included changes in depression severity within each group at two months; comparison of changes in depression severity between both groups; preferences of participants towards treatment reminders, and reasons for non-attendance among participants. This trial was registered with the National Medical Research Registry, NMRR-19-3466-52001.
RESULTS: Between February and April 2020, 183 participants were randomised to each group, of whom 179 reached study endpoint (91 [98.9%] of 92 in intervention group and 88 [96.7%] of 91 in control group). All recruited participants (n=183) were analysed using intention-to-treat approach. At two months, intervention group has significantly higher outpatient attendance rates (76.8%) than control group (56.4%) (p=0.002), and reported higher medical adherence percentage (mean difference 23.1, [95%CI 0.4, 35.8]; p<0.001). There was also significant difference in the MADRS score change between both groups (mean difference 3.4, [95%CI 0.4, 6.3]; p=0.025). Treatment reminders preferences among participants varied; forgetfulness was the most commonly reported reason (53%) for missing outpatient appointments.
CONCLUSION: Reminders through mobile messaging applications significantly improved outpatient attendance and medication adherence among patients with depression. Our findings support the use of messaging apps for treatment reminders in psychiatric outpatient settings. However, concerns regarding confidentiality require careful measures to be taken.
METHODS: A comprehensive string was run on PubMed, Medscape and Medline. The final outcome included 113 studies. Finally, the most relevant 10 articles were critically assessed for inclusion and exclusion criteria against various parameters.
RESULTS AND CONCLUSIONS: Severe and Moderate ED need re-excision in order to improve prognosis. There is not enough sound evidence for the management of Mild ED at excision margins of oral squamous cell carcinoma. Guidelines for the management of ED at excision margins should be formulated after comprehensive multi center studies using lager cohorts of patients.
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