Abstract
According to the National institute on Aging, 8% of the world’s population is over 65 or older. There is a need for a long term care and a remote home-care environment for the aging population using smart technologies as this number expected to double by 2050. With the advancement of embedded sensing technologies, wireless sensing technologies have been used to monitor user’s activities and maintain a healthy lifestyle. In this paper, we develop a Smart Medication Alert and Treatment Electronic Systems (SmartMATES) using a non-intrusive wearable sensor system to detect and prevent a home-based patient from missing his or her medication. The sensor collects and processes both the accelerometer and radio signal strength measurement on the left and right wrist. Based on the data collected, SmartMATES correlates the left and right wrist accelerometer reading to model the action of taking medication. If SmartMATES detects the patient is not taking the medication within a time-frame, it will be send an alert to the mobile phone to remind the users to take their medication. We have evaluated the SmartMATES on 9 participants. The results show that the SmartMATES can identify and prevent missing dosage in a less intrusive way than existing mobile application and traditional approaches.
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References
Chan, M., Nicklason, F., Vial, J.: Adverse drug events as a cause of hospital admission in the elderly. Intern. Med. J. 31(4), 199–205 (2001)
Sabaté, E.: Adherence to Long-term Therapies: Evidence for Action. World Health Organization, Geneva (2003)
MacLaughlin, J., Raehl, C.L., Treadway, K., Sterling, L., Zoller, D., Bond, C.: Assessing medication adherence in the elderly. Drugs Aging 22(3), 231–255 (2005)
Urquhart, J.: The electronic medication event monitor. Clin. Pharmacokinet. 32(5), 345–356 (1997)
Winland-Brown, J., Valiante, J.: Effectiveness of different medication management approaches on elders’ medication adherence. Outcomes Manage. Nurs. Pract. 4(4), 172–176 (1999)
Gandapur, Y., Kianoush, S., Kelli, M., Misra, S., Urrea, B., Blaha, J., Graham, G., Marvel, F., Martin, S.: The role of mHealth for improving medication adherence in patients with cardiovascular disease: A systematic review. Eur. Heart J. Qual. Care Clin. Outcomes 2(4), 237–244 (2016). qcw018
Lim, T., Weng, T., Bate, I.: Optimistic medium access control using gait anaysis in body sensor networks. In: EAI 4th International Conference on Wireless Mobile Communication and Healthcare (Mobihealth), pp. 308–311 (2014)
Zhu, L., Zhou, P., Pan, A., Guo, J., Sun, W., Chen, X., Wang, L., Liu, Z.: A survey of fall detection algorithm for elderly health monitoring. In: 2015 IEEE Fifth International Conference on Big Data and Cloud Computing (BDCloud), pp. 270–274. IEEE (2015)
Lim, T.H., Lau, H.K., Timmis, J., Bate, I.: Immune-inspired self healing in wireless sensor networks. In: Coello Coello, C.A., Greensmith, J., Krasnogor, N., Liò, P., Nicosia, G., Pavone, M. (eds.) ICARIS 2012. LNCS, vol. 7597, pp. 42–56. Springer, Heidelberg (2012). doi:10.1007/978-3-642-33757-4_4
Lim, T.H., Abdullah, A.H.: Real-time adaptive medium access control protocol to improve transmission efficiency in body sensor networks. In: Proceedings of the 5th EAI International Conference on Wireless Mobile Communication and Healthcare. ICST (Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering), pp. 249–252 (2015)
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© 2017 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Abdullah, A.H., Lim, T.H. (2017). SmartMATES for Medication Adherence Using Non-intrusive Wearable Sensors. In: Perego, P., Andreoni, G., Rizzo, G. (eds) Wireless Mobile Communication and Healthcare. MobiHealth 2016. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 192. Springer, Cham. https://doi.org/10.1007/978-3-319-58877-3_8
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DOI: https://doi.org/10.1007/978-3-319-58877-3_8
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