Fuzzy inference system wireless body area network architecture simulation for health monitoring

College

Gokongwei College of Engineering

Department/Unit

Manufacturing Engineering and Management

Document Type

Conference Proceeding

Source Title

8th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment and Management, HNICEM 2015

Publication Date

1-25-2016

Abstract

According to WHO, 22% of the world population, about 2 billion people, will be age 60 years and older in 2050. About 80% of these elderly people will be living in the developing nations. Population ageing are faced with challenges such as increased in the cases of chronic non-communicable diseases (NCDs) like cardiovascular diseases, obstructive pulmonary diseases, cancer, diabetes, musculoskeletal problems, and ageing-associated mental health conditions. The current healthcare infrastructure cannot cope with the projected increase in demands for health care monitoring and assistance of elderly people. These challenges must be met with improvements in the current health care systems and infrastructure. A wireless body area network (WBAN) that uses a fuzzy inference system (FIS) which can determine the condition of a person by employing sensors to monitor the heart rate, respiration rate, blood pressure, body temperature, and oxygen saturation of hemoglobin in the blood (SpO2) is proposed in this study. Remote patient monitoring with increased patient to health care personnel ratio can be achieved using this method. The results showed that body condition, ranging from critical to very good condition, can be determined using this method. © 2015 IEEE.

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Digitial Object Identifier (DOI)

10.1109/HNICEM.2015.7393231

Disciplines

Biomedical Devices and Instrumentation | Manufacturing

Keywords

Patient monitoring—Equipment and supplies; Patient monitoring--Automation; Body area networks (Electronics)

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