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Daily Activity Monitoring and Health Assessment of the Elderly using Smappee

Garg, Shobhit
http://orcid.org/0000-0003-0671-1981
http://rave.ohiolink.edu/etdc/view?acc_num=ucin1480328873499744

Abstract Details

2016, MS, University of Cincinnati, Engineering and Applied Science: Mechanical Engineering.
The continuous development in medical and healthcare sector has led the human civilization to have an increased life expectancy which in turn will lead to a higher than ever before population of elder people soon. This concept of world aging has spurred the development of healthcare services and facilities for the elderly population. There are a lot of daily activity and behavior monitoring systems that are built to promote independent living in people of age and aid in terms of health care to perform the basic activities of daily living. However, it has been observed that most of these systems uses either people or care takers to monitor the health and make their own judgements based on their own experience and intellect, or use sensors that are too complex, expensive, intrusive and/or unreliable. These problems have obstructed a lot for achieving convincible results in the healthcare monitoring applications. To deal with this issue, the proposed research designs a systematic framework of an intelligent mechanism that is low-cost, flexible, easy to install, robust and accurate for monitoring basic activities of daily living of elderly and assess their health status. Additionally, this model doesn’t raise concerns related to security, privacy and legal aspects which is a cause for growing concern these days. The model in this research focuses on monitoring functional health of the elderly based on the Katz index of ADL. It has been established that functional health is the dominant health classification because it depends on all mental health, physical health as well as the quality of life. A practical data acquisition strategy is established from sensor to collect data for appliance usage. The collected data is then analyzed and inference were drawn based on the habits and preferences of the occupant of the house (subject). A preliminary work plan for behavioral deviation detection and psychometric property testing is proposed. This research provides a guideline for developing health assessment instruments based on appliance usage data in healthcare monitoring applications for the elderly. Ultimately, the proposed system would be useful to improve elders’ quality of life by giving them freedom from the feeling of `being watched’, lower their healthcare cost and reduce their reliance on caregivers.
Samuel Huang, Ph.D. (Committee Chair)
Sam Anand, Ph.D. (Committee Member)
David Thompson, Ph.D. (Committee Member)
65 p.
Health Care
Remote health monitoring; elderly; smappee; activities of daily living; instrumental activities of daily living; appliance usage data

Recommended Citations

Citations

  • Garg, S. (2016). Daily Activity Monitoring and Health Assessment of the Elderly using Smappee [Master's thesis, University of Cincinnati]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1480328873499744

    APA Style (7th edition)

  • Garg, Shobhit. Daily Activity Monitoring and Health Assessment of the Elderly using Smappee. 2016. University of Cincinnati, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=ucin1480328873499744.

    MLA Style (8th edition)

  • Garg, Shobhit. "Daily Activity Monitoring and Health Assessment of the Elderly using Smappee." Master's thesis, University of Cincinnati, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1480328873499744

    Chicago Manual of Style (17th edition)

ucin1480328873499744
670
© 2016, some rights reserved.Creative Commons License Daily Activity Monitoring and Health Assessment of the Elderly using Smappee by Shobhit Garg is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported License. Based on a work at etd.ohiolink.edu.
This open access ETD is published by University of Cincinnati and OhioLINK.