Use of Mobile Phones as Intelligent Sensors for Sound Input Analysis and Sleep State Detection

Sleep is not just a passive process, but rather a highly dynamic process that is terminated by waking up. Throughout the night a specific number of sleep stages that are repeatedly changing in various periods of time take place. These specific time intervals and specific sleep stages are very important for the wake up event. It is far more difficult to wake up during the deep NREM (2–4) stage of sleep because the rest of the body is still sleeping. On the other hand if we wake up during the mild (REM, NREM1) sleep stage it is a much more pleasant experience for us and for our bodies. This problem led the authors to undertake this study and develop a Windows Mobile-based device application called wakeNsmile. The wakeNsmile application records and monitors the sleep stages for specific amounts of time before a desired alarm time set by users. It uses a built-in microphone and determines the optimal time to wake the user up. Hence, if the user sets an alarm in wakeNsmile to 7:00 and wakeNsmile detects that a more appropriate time to wake up (REM stage) is at 6:50, the alarm will start at 6:50. The current availability and low price of mobile devices is yet another reason to use and develop such an application that will hopefully help someone to wakeNsmile in the morning. So far, the wakeNsmile application has been tested on four individuals introduced in the final section

Current landscape of ecological momentary assessment (real-time data) methodology in cancer research: a systematic review.

To critically synthesize and describe the use and methods of ecological momentary assessment (EMA) in cancer research. A systematic review was conducted and has been reported according to the Preferred Reporting Items for Systematic Reviews and Meta-analysis (PRISMA) Guideline. Electronic databases (APA PsycINFO, CINAHL, Cochrane Central Register of Controlled Trials, MEDLINE, Scopus, and Web of Science Core Collection) were searched using a variety of keywords and subject headings by an expert systematic review librarian. All publications were double screened by two reviewers using predetermined exclusion and inclusion criteria throughout the full review process. The review used Covidence Systematic Review Software. Methodological quality assessment and data extraction were performed. A narrative synthesis was conducted to examine the aim for EMA, the characteristics of the study samples, the EMA sampling procedures, EMA completion rates, outcome measures, and any implications of findings for survivorship care. A total of 42 EMA studies in cancer were included. Most studies used an electronic mobile device to capture EMA data apart from several that used paper diaries. Existing studies were found to have significant heterogeneity in methods and widely varying approaches to design and self-report measurements. While EMA in cancer research holds significant promise to advance cancer care research into the future by increasing ecological validity and reducing retrospective bias and can capture the unique idiographic within-person change over time, in real-time, further research is needed to develop standardized EMA self-report questionnaires. This is the first comprehensive systematic review to describe the use and methods of EMA in cancer research. There is significant heterogeneity in methods and widely varying approaches to design and self-report measurements in EMA cancer research. People affected by cancer found taking part in EMA studies reported benefit from the experience. However, researchers must engage with cancer survivors in the development and co-design of future EMA questionnaires to ensure relevant and acceptability of EMA data collection protocols

Design and Development of Mobile Application for Academic Reminder System

The Academic Reminder System is built to help users, which focuses for the students in UiTM Tapah to manage their scheduled class and assignment deadline via their mobile smartphones. The application was built for android - based platform. The user only needs to update their schedule after getting logged into the system and list any important date for their assignment deadline to the system, Then   the system will give an alert to remind the user for the upcoming class and task deadline. The System Development Life Cycle (SDLC) which is the waterfall model has been chosen as the methodology for this project that containing five phases. The result of the discussion shows that Academic Reminder System receives positive feedback through usability testing that has been completed. A total 30 students completed the usability survey and 46.7% of the respondents are strongly agreed that this application meets their satisfaction with interface, usability, and performance. Future work recommendation for this project is to make a sharing application tool in the system so that the user can simply share the applica tion to their friends. Besides that, the application can engage with new technology, which is using near - field communication  (NFC) in the log in page to easier for students log into the system

Development and Usability Evaluation of an mHealth Application for Symptom Self-Management in Underserved Persons Living with HIV

Effective symptom management is essential to decrease symptom severity and improve health-related quality of life for persons living with HIV (PLWH). A mobile health (mHealth) application (app) has the potential to be an effective delivery mode of an existing paper-based symptom management manual with self-management strategies for underserved PLWH. The quality of the mHealth app requires a thorough understanding of the needs of the intended end-users and ensuring the app’s usability. The purpose of this study was to translate paper-based health information into an mHealth app for symptom self-management in underserved PLWH, entitled mVIP (mobile Video Information Provider), and assess its usability. To achieve this goal, usability was evaluated rigorously throughout the development process of mVIP. Based on a stratified view of health information technology (IT) usability evaluation framework, usability evaluation was sequentially conducted with the following three levels: 1) user-task, 2) user-task-system, and 3) user-task-system-environment. At level 1 (user-task), we applied a user-centered design method to guide the information architecture of mVIP. Using a reverse in-person card sorting technique, symptoms and self-management strategies from a paper-based HIV/AIDS symptom management manual were ranked. The rank order of the 13 symptoms and 151 self-management strategies determined the order of appearance to end-users of the mVIP app, with higher-ranked symptoms and strategies appearing first. Based on the findings, we developed a prototype of mVIP as following: 1) once users log in, they are guided by an avatar through a series of 13 symptom questions ascertaining the nature and severity of their symptoms, and 2) the avatar recommends three self-management strategies for each symptom reported. At level 2 (user-task-system), we conducted a usability evaluation of the mVIP prototype in a laboratory setting through end-user usability testing and heuristic evaluation. In end-user usability testing, we used an eye-tracking and retrospective think-aloud method to examine task performance by 20 PLWH. For the heuristic evaluation, five usability experts in informatics assessed the user interface. In the two usability evaluations conducted in a laboratory setting, we found strong user acceptance of the mVIP prototype while identifying a number of usability issues with this prototype. Based on the recommendations from the end-users and heuristic evaluators, we iteratively refined the app’s content, functionality, and interface. We then inserted videos of the finalized symptom self-management strategies into the refined mVIP prototype. At level 3 (user-task-system-environment), the usability of the refined mVIP prototype was evaluated in a real-world setting. Through 10 in-depth interviews and four focus groups conducted at the conclusion of a three-month randomized controlled trial, we explored in-depth understandings of users’ experiences, perceptions, and satisfaction of mVIP use. Findings from the study showed that first, mVIP is useful for HIV-related symptom self-management and has the potential for being used as a communication tool with healthcare providers; and second, mVIP is easy to use to monitor symptom experience over time. At the same time, participants suggested mVIP be more sensitively tailored based on years from initial diagnosis of HIV, an individuals’ age, and conditions. The overall user satisfaction with the mVIP prototype was high, which reflects strong user acceptance of mVIP. Integral to the findings from the three-level usability evaluation, we assessed the quality of the mVIP prototype in use and found the prototype was highly accepted by PLWH with high user satisfaction. This study will add to the body of literature on translation of evidence-based health information into an mHealth app and its usability assessment, which highlights the importance of the use of mobile technology for PLWH, specifically racial and ethnic minorities and those from low-socioeconomic groups who have limited health literacy and low level of education

Effect of sleep on experience sampling method

Abstract. Digital data collection is practically the norm in current research. Countless studies make use of questionnaires and separate data collection methods in aim to gather scientific data from research subjects. Experience Sampling Method (ESM) collects data using stand-alone reports, very much like in traditional diary surveys. Such an approach reduces the risk of errors caused by subjects memory and reconstruction phase of past experiences. By minimising potential points of failure, data can be made more reliable. In addition, this allows data collection to be targeted at main points of the study. Purpose of the study is to explore the impact of ESM surveys on the participants, and further how the methodological questionnaires affect the surveys results. The study makes use of a mobile application used for data collection, a server connection, as well as a database for storing the results. The results did not allow drawing of direct links between ESM responses and sleep quality, albeit importance of timing of the ESM questions was identified, need of a necessary saturation of sleep data was confirmed, and an observation was made that the parameters contributing to the same metric should be placed close together timewise

ACUTA Journal of Telecommunications in Higher Education

In This Issue President\u27s Message From the ACUTA CEO RIP for TDM IPTV: The Future of Gable TV Not All SIP Trunking ls Problem Free lnterview: Four Campuses Look at lPv6, SIB and More lPv6: What You Don\u27t Know CAN Hurt You Moving from the Old to the New 2013 Award Winners lnstitutional Excellence Award Honorable Mention: Abilene Christian University Virtual La

Developing an Autonomous Mobile Robotic Device for Monitoring and Assisting Older People

A progressive increase of the elderly population in the world has required technological solutions capable of improving the life prospects of people suffering from senile dementias such as Alzheimer's. Socially Assistive Robotics (SAR) in the research field of elderly care is a solution that can ensure, through observation and monitoring of behaviors, their safety and improve their physical and cognitive health. A social robot can autonomously and tirelessly monitor a person daily by providing assistive tasks such as remembering to take medication and suggesting activities to keep the assisted active both physically and cognitively. However, many projects in this area have not considered the preferences, needs, personality, and cognitive profiles of older people. Moreover, other projects have developed specific robotic applications making it difficult to reuse and adapt them on other hardware devices and for other different functional contexts. This thesis presents the development of a scalable, modular, multi-tenant robotic application and its testing in real-world environments. This work is part of the UPA4SAR project ``User-centered Profiling and Adaptation for Socially Assistive Robotics''. The UPA4SAR project aimed to develop a low-cost robotic application for faster deployment among the elderly population. The architecture of the proposed robotic system is modular, robust, and scalable due to the development of functionality in microservices with event-based communication. To improve robot acceptance the functionalities, enjoyed through microservices, adapt the robot's behaviors based on the preferences and personality of the assisted person. A key part of the assistance is the monitoring of activities that are recognized through deep neural network models proposed in this work. The final experimentation of the project carried out in the homes of elderly volunteers was performed with complete autonomy of the robotic system. Daily care plans customized to the person's needs and preferences were executed. These included notification tasks to remember when to take medication, tasks to check if basic nutrition activities were accomplished, entertainment and companionship tasks with games, videos, music for cognitive and physical stimulation of the patient