Current Issue : October - December Volume : 2014 Issue Number : 4 Articles : 5 Articles
Recently, remote healthcare systems have received increasing attention in the last decade, explaining why intelligent systems with\nphysiology signal monitoring for e-health care are an emerging area of development. Therefore, this study adopts a system which\nincludes continuous collection and evaluation of multiple vital signs, long-term healthcare, and a cellular connection to a medical\ncenter in emergency case and it transfers all acquired rawdata by the internet in normal case.Theproposed system can continuously\nacquire four different physiological signs, for example, ECG, SpO2, temperature, and blood pressure and further relayed them to\nan intelligent data analysis scheme to diagnose abnormal pulses for exploring potential chronic diseases. The proposed system\nalso has a friendly web-based interface for medical staff to observe immediate pulse signals for remote treatment. Once abnormal\nevent happened or the request to real-time display vital signs is confirmed, all physiological signs will be immediately transmitted\nto remote medical server through both cellular networks and internet. Also data can be transmitted to a family member�s mobile\nphone or doctor�s phone through GPRS. A prototype of such system has been successfully developed and implemented, which will\noffer high standard of healthcare with a major reduction in cost for our society....
The main objective of this pilot study was to test the effectiveness of an online, interactive physical activity intervention that also\nincorporated gaming components. The intervention design included an activity planner, progress monitoring, and gamification\ncomponents and used SMS text as a secondary delivery channel and feedback to improve engagement in the intervention content.\nHealthy adults (???? = 21) recruited through ads in local newspapers (age 35ââ?¬â??73) were randomized to the intervention or the control\ncondition. Both groups reported physical activity using daily report forms in four registration weeks during the three-month study:\nonly the experiment condition received access to the intervention. Analyses showed that the intervention group had significantly\nmore minutes of physical activity inweeks five and nine.We also found a difference in the intensity of exercise inweek five. Although\nthe intervention group reported more minutes of physical activity at higher intensity levels, we were not able to find a significant\neffect at the end of the study period. In conclusion, this study adds to the research on the effectiveness of using the Internet and\nSMS text messages for delivering physical activity interventions and supports gamification as a viable intervention tool....
In this paper we consider the transmission of stored video from a server to a client for medical applications such as,\nTele-monitoring, to optimize medical quality of service (m-QoS) and to examine how the client buffer space can be\nused efficiently and effectively towards reducing the rate variability of the compressed variable bit rate (VBR) video.\nThree basic results are presented. First, we show how to obtain the greatest possible reduction in rate variability when\nsending stored video to client with a given buffer size. Second, how to reduce high peak data rate of compressed VBR\nvideo when a patient is moving/walking very fast in hospital. Third, we evaluate the impact of optimal smoothing algorithm\non the network parameters such as, peak-to-mean ratio, standard deviation, delay, jitter, average delay and average\njitter to optimize the m-QoS. To resolve these all problems we used optimal smoothing algorithm and show its performance\nover a set of long MPEG-4 encoded video traces. Simulation results show that m-QoS is optimized by minimizing\nnetwork metrics....
Healthcare technologies are slowly entering into our daily lives, replacing old devices and techniques with newer intelligent ones.\nAlthough they are meant to help people, the reaction and willingness to use such new devices by the people can be unexpected,\nespecially among the elderly.We conducted a usability study of a fall monitoring system in a long-termnursing home. The subjects\nwere the elderly with advanced Alzheimer�s disease.The study presented here highlights some of the challenges faced in the use of\nwearable devices and the lessons learned. The results gave us useful insights, leading to ergonomics and aesthetics modifications\nto our wearable systems that significantly improved their usability and acceptance. New evaluating metrics were designed for the\nperformance evaluation of usability and acceptability....
Background. Behavioural change and self-management in patients with chronic illness may help to control symptoms, avoid\nrehospitalization, enhance quality of life, and decrease mortality and morbidity. Objective. Guided by action research principles\nand using mixed methods, the aim of this project was to develop peer based educational, motivational, and health-promoting\npeer based videos, using behavioural change principles, to support self-management in patients with COPD. Methods. Individuals\n(???? = 32) living with COPD at home and involved in two community based COPD support groups were invited to participate in this\nproject. Focus group/individual interviews and a demographic questionnaire were used to collect data. Results. Analysis revealed\n6 categories relevant to behavioural change which included self-management, support, symptoms, knowledge, rehabilitation, and\ntechnology. Participants commented that content needed to be specific, and videos needed to be shorter, to be tailored to severity of\ncondition, to demonstrate ââ?¬Å?normalââ?¬Â activities, to be positive, and to ensure that content is culturally relevant. Conclusions.This study\ndemonstrated that detailed analysis of patient perspectives and needs for self-management is essential and should underpin the\ndevelopment of any framework, materials, and technology. The action research design principles provided an effective framework\nfor eliciting the data and applying it to technology and testing its relevance to the user....
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