The paper "The Investigation of Wearable Technology Issues" is a wonderful example of a research paper on technology. Wearable technology has generated significant attention in recent years, with most existing devices helping people to better understand their personal health and fitness by monitoring heart rate, sleep patterns, exercise, and so on. The aim of this research study is to summarize the recent development in the field of wearable systems and sensors that are relevant to daily life. There is a growing body of literature that focused on the application of wearable technology to monitor older adults and subjects with chronic conditions in the community and home settings.
Wearable technologies described in this paper include those that focus on safety, health and wellness, home rehabilitation, early detection of disorder, and assessment of treatment efficacy. The integration of ambient sensors and wearable has been discussed in the context of achieving home monitoring of older adults and subjects with chronic illnesses. Keywords: Home monitoring, healthcare monitoring, wearable systems and sensors, smart home, telemedicine. Introduction The healthcare system has faced a lot of challenges. With the improvements in healthcare in the last two decades, people in developed countries are now living longer, but with many, often complex, health conditions (Aleksy et el, 2011).
From an epidemiological standpoint, the increasing number of older people in the U. S. has severely stressed the Medicare system, while the recent healthcare reform efforts may add approximately 32 million patients to the healthcare system in few years. At the moment there exist new technologies that hold great promise to expand the ability of the healthcare system, improving monitoring and diagnostics, extending its range into the community, and participating in individuals and maximizing independence.
Wearable sensors have monitoring, as well as diagnostic applications (Dunne, 2004). Their current capabilities include biochemical and physiological sensing, as well as motion sensing. It is hard to mention the magnitude of the healthcare problems that these wearable technologies might help to solve (Bonato, 2005). Physiological monitoring could help physicians in both ongoing treatment and diagnosis of a number of individuals with cardiovascular, pulmonary, and neurological diseases such as dysrhythmias, hypertension, and asthma (Chan et al, 2012). Motion sensing might help in preventing falls in homes and help maximize community participation and individual independence. Dunne (2004) argued that wearable computing supplements additional physical, cognitive, and psychological variables.
As human-computer interaction (HCI) moves nearer to the human skin, it has become more closely associated with the user’ s personality. Virkki and Aggarwal (2014) stated that there are a lot of concerns like physical comfort, social acceptability, and ease of interaction in addition to expectations of users on the wearable devices that need to be attended (Bonato, 2005). The focus of studies has been on performance/functionality, and since the soft prerequisites are often outer the know-how of the researcher (Dunne, 2004; Bristow et al. , 2004).
The thesis statement for this research study has the body adapted wearable electronics changed the health system. Research Questions This research study aims to give answers to four questions. The first question is a concern with how will wearable technologies impact the future of healthcare. Wearable technology has the promise to change the way healthcare service is delivered (Dunne, 2004). Wearable technology has led to an increase in patient self-management and a deeper level of patient engagement with healthcare systems and has definitely changed the relationship between doctors and patients.
Aleksy, M., Rissanen, M. J., Maczey, S., & Dix, M. (2011). Wearable Computing in Industrial Service Applications. Procedia Computer Science, 5, 394–400.
Bonato, P. (2005). Advances in wearable technology and applications in physical medicine and rehabilitation.Journal of NeuroEngineering and Rehabilitation,2(1):2
Chan, M., Estève, D., Fourniols, J.-Y., Escriba, C., & Campo, E. (2012). Smart wearable systems: Current status and future challenges. Artificial Intelligence in Medicine, 56, 137–156.
Dunne, L. E. (2004). The Design of Wearable Technology: Addressing the Human-Device Interface Through Functional Apparel Design. Cornell University. Ithaca, New York: Lucy E. Dunne.
Patel, S., Park, H., Bonato, P., Chan, L., & Rodgers, M. (2012). A review of wearable sensors and systems with application in rehabilitation. Journal of NeuroEngineering and Rehabilitation, 9(21), 1-17.
Kaefer, G., Prochart, G., and Weiss, R. (2003). Wearable alertness monitoring for industrial applications. In Proc. Seventh IEEE International Symposium on Wearable
Computers, pages 254–255
Karlen, W., Mattiussi, C., and Floreano, D. (2007). Adaptive sleep/wake classification based on cardiorespiratory signals for wearable devices. InProc. IEEE Biomedical Circuits and Systems Conference BIOCAS 2007, pages 203–206, Montreal, Quebec.