6 research outputs found
A review of wearable sensors based monitoring with daily physical activity to manage type 2 diabetes
Get PDFGlobally, the aging and the lifestyle lead to rabidly increment of the number of type two diabetes (T2D) patients. Critically, T2D considers as one of the most challenging healthcare issue. Importantly, physical activity (PA) plays a vital role of improving glycemic control T2D. However, daily monitoring of T2D using wearable devices/ sensors have a crucial role to monitor glucose levels in the blood. Nowadays, daily physical activity (PA) and exercises have been used to manage T2D. The main contribution of the proposed study is to review the literature about managing and monitoring T2D with daily PA through wearable devices and sensors. Finally, challenges and future trends are also highlighted
Mobile health monitoring based studies for diabetes mellitus: a review
Get PDFDiabetes as a chronic disease is considered to be a serious problem not only for diabetic patients but also for caregivers, families and countries. Hazardously, as an example, 16% of the Middle East population died every year because of diabetes as it is reported by World Health Organization (WHO). Therefore, it is crucial to utilize the recent advances and technologies to find the best instrument for diabetes monitoring and management. Recently, mobile health (mHealth) technologies have a vital role in the healthcare industrial world. Undoubtedly, mHealth technologies are used to manage, track, monitor, diagnose, and prevent chronic diseases including, diabetes. Certainly, the main advantages of mHealth include a real-time and continuous monitoring with high reliability, accessibility, and availability. In addition to that, mHealth is considered to be a fast, accurate, simple, cheap, comfortable, and safe technology. Hence, the proposed study aims to review existing mHealth studies for managing, diagnosing, tracking, detecting, and predicting diabetic mellitus. Moreover, challenges and future trends of this emerging topic are also discussed
A review of internet of medical things (IoMT) – based remote health monitoring through wearable sensors: a case study for diabetic patients
Get PDFThe latest advances and trends in information technology and communication have a vital role in healthcare industries. Theses advancements led to the Internet of Medical Things (IoMT) which provides a continuous, remote and real-time monitoring of patients. The IoMT architectures still face many challenges related to the bandwidth, communication protocols, big data and data volume, flexibility, reliability, data management, data acquisition, data processing and analytics availability, cost effectiveness, data security and privacy, and energy efficiency. The goal of this paper is to find feasible solutions to enhance the healthcare living facilities using remote health monitoring (RHM) and IoMT. In addition, the enhancement of the prevention, prognosis, diagnosis and treatment abilities using IoMT and RHM is also discussed. A case study of monitoring the vital signs of diabetic patients using real-time data processing and IoMT is also presented
A review of remote health monitoring based on internet of things
Get PDFManaging, diagnosis, prognosis, continuous monitoring, early detection, and preventing chronic diseases for patients and elderly people have been gained a crucial role nowadays. However, elderly people with chronic health conditions such as diabetes, cardiovascular disease, and mental diseases, need special health care. With the help of the internet of things (IoT) technologies, remote health monitoring (RHM) helps patients, caregivers, and countries for improving healthcare services, such as medical files services, mobile healthcare (mhealth), telemedicine services, and sensing technology. Moreover, RHM aims to reduce hospitalized demands and costs. The main contribution of the proposed study is to review RHM studies based on IoT technologies. Moreover, the challenges and possible future trends of RMH are highlighted
Reduce Rejected Laboratory Samples and Enhance Specimen Acceptability
No full textAbstract: Background: Clinical chemistry specimen rejections cause a delay in the availability of findings, which might affect patient care.
The study's objective is to assess sample rejection.
Methods: The study measured specimen rejection rates and the contributions of different rejection reasons. The study undertook an intervention to reduce specimen rejection during 2019 intervention period. It compared rejections rates, number of months with rejection rates 1.2%, and distribution of rejection reasons between the two year-long intervals. The study also determined the origin for specimens rejected for the most common rejection reason during one month in the second period.
Results: The most common reasons for rejection in hematology and biochemistry areas were clotted blood specimen, improperly labeled specimen containers and hemolyzed blood samples.
Conclusions: Using Qualitative Methodology helped to formulate efficient plans to target this issue. reduce the rate of rejected samples. Moreover, the model shed the light on how crucial the pre-analytical phase for laboratory quality improvement process, its effect on cost reduction, and the importance of staff competency and utilization.
Keywords: Rejection, Blood samples, pre-analytic error; quality indicators; specimen insufficient; specimen rejections.
Title: Reduce Rejected Laboratory Samples and Enhance Specimen Acceptability
Author: Yasir A. Ahmed, Areej Khaled Al-Zahrani, Reem Abdallah Al-Qhamdi, Ziyad Fahad Al-Otaibi, Monerah Mater Wallbi, Ahlam Abdulrahman Al-Harbi, Eman Ahmed Sunyur, Areej Nasser AlRami, Ahmed Hattan Hattan, Abdulrhman Mohammed Twhari, Alanood Khalid Alsaffi, Buthaynah Abdalrahman Alodhayb, Dalal Abdullah Alshaikhi, Abdeah Ebrahim Beshi
International Journal of Life Sciences Research
ISSN 2348-313X (Print), ISSN 2348-3148 (online)
Vol. 10, Issue 3, July 2022 - September 2022
Page No: 14-18
Research Publish Journals
Website: www.researchpublish.com
Published Date: 03-August-2022
DOI: https://doi.org/10.5281/zenodo.6948538
Paper Download Link (Source)
https://www.researchpublish.com/papers/reduce-rejected-laboratory-samples-and-enhance-specimen-acceptabilityInternational Journal of Life Sciences Research, ISSN 2348-313X (Print), ISSN 2348-3148 (online), Research Publish Journals, Website: www.researchpublish.co
A Review of Physical Human Activity Recognition Chain Using Sensors
Get PDFIn the era of Internet of Medical Things (IoMT), healthcare monitoring has gained a vital role nowadays. Moreover, improving lifestyle, encouraging healthy behaviours, and decreasing the chronic diseases are urgently required. However, tracking and monitoring critical cases/conditions of elderly and patients is a great challenge. Healthcare services for those people are crucial in order to achieve high safety consideration. Physical human activity recognition using wearable devices is used to monitor and recognize human activities for elderly and patient. The main aim of this review study is to highlight the human activity recognition chain, which includes, sensing technologies, preprocessing and segmentation, feature extractions methods, and classification techniques. Challenges and future trends are also highlighted.
