International Journal of Advanced Engineering Research and Applications (IJAERA) ISSN: 2454-2377 Vol. – 1, Issue – 4, August – 2015 www.ijaera.org 2015, IJAERA - All Rights Reserved 157 A Research Review on Multisensor Data Fusion Techniques in Intelligent Health Care Monitoring O.M.Sumathi 1* and Malini Mudigonda 2 1 Research Scholar, Biomedical Engineering Department, Osmania University, Hyderabad, INDIA *Corresponding author E-mail: sumathi.ou@gmail.com 2 Professor & Head, Biomedical Engineering Department, Osmania University, Hyderabad, INDIA E-mail: mudigonda.malini@gmail.com Abstract: Introducing intelligence in a sensor based health care system provides smartness capabilities in monitoring human health conditions. Such systems particularly involving multiple sensors need abundant intelligence in collecting data, processing the information and presenting the data in more useful manner. Implementing multisensor data fusion (MSDF) techniques in health care monitoring (HCM), provides a powerful platform to combine raw sensory data resulting in smart information with cognitive capability and context awareness. Moreover, applying data fusion techniques in HCM improves system performance in terms of intelligence with smart decision making capability and further enhancing reliability in patient monitoring. The focus of this paper is to review the current research about the role of MSDF techniques in health care monitoring. It also discusses various key issues, challenges and methods of modeling data fusion techniques. Finally this paper proposes a suitable intelligent MSDF technique using fuzzy based algorithm for monitoring vital signs of patients in real time hospital environment. Keywords: Health care; Multisensory data fusion; Intelligence; cognition; Patient monitoring; Fuzzy I. INTRODUCTION Atleast 44,000 people die in hospitals each year as a result of medical errors that could have been prevented [1]. Also, delayed detection of clinical deterioration results in high rates of aviodable in-hospital deaths [2]. The most commom errors include faulty systems, process and conditions which inhibit clinical attendants to notice emergency situations in prior. These errors can be avoided by designing health care monitoring systems incorporating intellegence at all stages to make it more safe and relaible. Over the past few years demand for more intelligent systems in health care has increased heavily. This demand leads to invention of new intelligent techniques that can be employed in health care monitoring systems for hospital and home based health care automation and monitoring applications [ 3]. In this context, Multisensor Data Fusion (MSDF) finds important place in incorporating intelligence in sensor based health care monitoring systems. With different biosensors employed to monitor the health condition of patients, it becomes more difficult to asses the overall condition of the patients. In such situations, MSDF techniques can be used to fuse the information from various biosensors in an intelligent manner to provide trustworthiness in health care monitoring. The term sensor data fusion means combining data obtained from different sensors such that the resulting information is better than if these sensors were used individually[4]. In addition, MSDF provides high confidence in data with high reliabilty, accuracy and redundancy for medical diagnosis and treatment [5]. Such intelligent health care systems with data fusion capabilities invloves combination of several smart sensors inorder to detect abnormal events or anomalies at an early stage, thus