Personal Health and Illness Management and the Future Vision of Biomedical Clothing Based on WSN

Introduction Of Personal Health And Illness Management

Personal health information management (PHIM) is the key to illness prevention and treatment. Personal health records and condition-specific health management systems are examples of current patient aids that might aid PHIM components. (Chan et al., 2012). The benefits of a healthy lifestyle include a lower chance of developing several ailments, such as cardiovascular disease, stroke, and diabetes. (Fortino et al., 2014). Joint stability, strength, and stamina are all improved by a wide range of motion, and this benefits the aging body by keeping it mobile, stable, and coordinated. (Ray et al., 2020). They defined three types of self-management: medical management, behavioral management, and emotional management (Darwish et al., 2011). Preventing health issues and lowering the number of doctor's appointments and drugs required are two of the many benefits of taking care of one's health (Fraile et al., 2010). Healthcare expenditures connected with the disease can be greatly reduced if people take better care of themselves. The responsibility for one's health should not fall on the person's shoulders (Bachmann et al., 2012). Health promotion and disease prevention are societal responsibilities whether individuals or communities are ultimately responsible for people's well-being. (Elayan et al., 2017. Here are some tried-and-true methods for improving mood and quality of life: Go for enough sleep, eat healthily, get outside as much as possible, manage your stress, work out regularly, and cut out harmful vices like smoking and alcohol. (Liang et al., 2016).

Wireless sensor networks (WSNs) can potentially transform our way of life in various ways, including healthcare, entertainment, transport, retail, and other industries, as well as independent care and emergency management. Ambient intelligence is an interdisciplinary idea that combines wearable technologies and sensor technologies with computation and machine intelligence research to address everyday challenges (Alemdar et al., 2010). Elderly populations in wealthy countries are one of today's most pressing issues. According to data from the population, nearly 20% of the world's population will be 65 years old or older within the next two decades (Albahri et al., 2021). As a result, governments and health service providers in these countries must address the dilemma of providing high-quality treatment and service to an aging population while cutting healthcare expenditures (Saleh et al., 2020). Integrating sensors and consumer electronics that may be worn on the body or implanted, people's movements and activities can be monitored as they go about their day. (Sheron et al., 2020). Body sensor network systems can be used for various purposes, including medical monitoring, memory enhancement, home automation, and access to medical records. People with cognitive impairments will benefit from wearable and implanted sensor networks, which will help detect early signs of illness and disease in those most at risk (Li, 2013). These solutions are useful for families where both parents work, the elderly, and those with chronic health concerns.