The continuous monitoring of chronic diseases serves as one of the cornerstones in the efforts to improve the quality of life of patients and maintain the healthcare services provided to them. This study aims to provide an in-depth understanding of the perspectives of healthcare professionals on using sensor-based networks (SBN) used for remote and continuous monitoring of patients with chronic illness in Kosovo, a developing country. A qualitative research method was used to interview 26 healthcare professionals. The study results demonstrate the positive attitudes of participants to using SBN, and considers their concerns on the impact of these platforms on the patient’s life, the number of visits in the medical centre, data privacy concerning interactions between patients and their medical personnel and the costs of the platform. Further to that, the study makes an important contribution to knowledge by identifying the challenges and drawbacks of these platforms and provides recommendations for system designers.
Wireless broadband networks are designed to provide high quality services to multiple mobile users simultaneously. The IEEE 802.16e Mobile WiMAX standard uses Orthogonally Frequency Division Multiple Access (OFDMA) schema for frame structure. OFDMA defines rectangular resource allocation of time slots and frequency carriers, separating in this way the channel into multiple subcarriers. This structure is used for arranging the incoming user requests. Aimed to increase the bandwidth utilization, while arranging the incoming user requests into an effective way, we have considered and evaluated Bin-Packing algorithms. Subsequently in the following sections are presented analysis and design of various Bin packing algorithms developed in our simulator. Moreover, a combined algorithm is proposed, named Guillotine First Fit Algorithm and a new version of the Shelf First Fit Algorithm. Simulation's results concerning performance of implemented algorithms in different input values are gathered, analyzed and compared. The results are encouraging and provide indications regarding usage of the proposed algorithms in practice.
Sensor based applications and Wireless Technologies introduce sophisticated health methods, especially for patients who need continuous monitoring. Wireless Body Area Networks (WBAN) applied in medical systems provide wireless wearable sensor's structured architecture, which uses elements of remotely observance and monitoring of home-based patient rehabilitation. The possibility of transmitting and receiving remotely and continuously signals leads to constant monitoring of patient's vital parameters and real-time exchange of information. Considering Republic of Kosovo as a developing country, this application is considered to provide many benefits. As thought, the system will offer constant monitoring, early detection and prevention of abnormal conditions which are caused from last war or even natural conditions. Current research will present thoroughly examined and observed WBAN related factors which are used for enhancing e-healthcare. Moreover, during our future research we plan to analyze all existing architectures in order to conclude on and propose a unique schema that can be applied on developing regions, like Kosovo, and be beneficial.
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