Title: Wireless Sensor Networks for Health-care sensor and medical internet of things

Biography:

Bilal  AL-Hayani   received the B.Sc. degree in Laser Engineering from university of Technology –Baghdad, Iraq in 1999 to 2004 , and the M.Sc. degree in  electronics and telecommunication engineering and electromagnetic  from University of Pune ,India  from 2011 to 2013 he was  joined  in Ph.D . researcher in 2014 in Electronics and communication Department  in  Yildiz Technical University ,Istanbul, Turkey . His general  research interests  lie in signal processing and communication theory  and signal coding  on wireless communication and  image processing specific  research  area include cooperative communication techniques He published  a lot off  original articles  of  papers  research in Sci  (science citation index expanded ) journals index and in scopus in SAGE and ASP publisher.

Abstract

Aims & Scope: Please provide an overview of the Special Collection’s intended focus, detailing the aims of the Collection and what type of research is welcomed. 

The wireless sensor network technologies are considered as one of the key research areas in computer science and healthcare application industries. The pervasive healthcare systems The Internet of Medical Things (MIoT) is an amalgamation of wearable medical devices and mobile applications that can connect to healthcare sensors  information technology systems using networking technologies. (MIoT)  The impact of IoT in healthcare, although still in its initial stages of development has been significant , attempts to review and understand the applications of MIoT in personalised healthcare will promote personalized care and higher standards of care and living through individual data-driven treatment regimens as well as optimized devices tailored to individual physiological requirements. The IoMT senses the patients’ health status and then transfers the medical data to doctors and healthcare providers with the help of remote cloud data centres. These data are used for disease diagnosis and in medical care decision-making. The main challenge in MIo is how to manage the large amount of medical data. Potential topics include but are not limited to:

1. IoT measurement and control And new methodology of optical sensor network for detection
2.  High-level methods and tools for node and application design healthcare sensors
3.  The physical environment, both local and remote sensors.
4.  biomedical sensors network and and identification of biological and chemical agents
5. image transmission using in healthcare sensors.