Managing Disorientation of Time and Place in Dementia Patients Using Bluetooth Sensors
Identification of Failure Modes on ESC through RCM
Keywords:
Computer Science, Information TechnologyAbstract
Assistive technology has the potential to support persons with dementia (PWDs) in their daily life activities and provide them quality of life services. This paper proposes a novel mechanism in order to manage disorientation or time and place problem of PWD through the use of Bluetooth low energy devices, smart watch and smart phone/ tablet. The proposed mechanism was verified in a real environment having the facilities an ordinary PWD avail in his home environment and also in lab environment. All of the participants were volunteers from research group personal contacts. Volunteers spend time in the environment and results were generated. Experimental result showed that the proposed mechanism provided an accurate real time ubiquitous monitoring of PWD. Successful detection of PWD presence in real time and notification to caregiver observed in all cases.
References
World Health Organization, Dementia (May, 2017). Retrieved From http://www.who.int/mediacentre/factsheets/fs362/en/.
Faragher, R. & R. Harle. Location fingerprinting with Bluetooth low energy beacons. IEEE Journal on Selected Areas in Communication 33(11): 2418- 2428 (2015).
Moshnyaga, V., M. Koyanagi, F. Hirayama, A.Takahama & K. Hashimoto. A medication adherence monitoring system for people with dementia. Proceedings of 2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC): 194-99(2016).
Morel, A., K. Bormans, & K. Rombouts. Memory palaces to improve quality of life in dementia. 2015 Conference on Raising Awareness for the Societal and Environmental Role of Engineering and (Re) Training Engineers for Participatory Design (Engineering 4 Society): 80-84 (2015).
Mansbach, W. E., R. A. Mace, K. M. Clark, & I.M. Firth. Meaningful activity for long-term care residents with dementia: A comparison of activities and raters. The Gerontologist 57(3): 461-468 (2017).
MacAndrew, M., E. Beattie, M. O’Reilly, A.Kolanowski & C. Windsor. The trajectory of tolerance for wandering-related boundary transgression: An exploration of care staff and family perceptions. The Gerontologist: 57(3), 451-460 (2017).
Ou, Y. Y., T. W. Kuan, J. F. Wang, A. C. Tsai &P. C. Chen. A GPS tracking device embedded in prayer beads for early-stage dementia detection. Proceedings of the ASE Big Data & Social Informatics 2015: 58 (2015).
Wan, J., C. A. Byrne, M. J. O’ Grady & G. M. O’Hare. 2015. Managing wandering risk in people with dementia. IEEE Transactions on Human-Machine Systems 45(6): 819-823 (2015).
Sansrimahachai, W. Stream-based wandering monitoring system for elderly people with dementia. 2015 15th International Symposium on Communications and Information Technologies (ISCIT): 1-4 (2015).
Helmy, J. & A. Helmy. The Alzimio App for dementia, autism & alzheimer’s: Using novel activity recognition algorithms and geo-fencing.
IEEE International Conference on (Smart Computing (SMARTCOMP): 1-6 (2016).
Sasaki, H. A smart phone app provides preventive care for the elderly with dementia. 2016 IEEE 32nd International Conference on Data Engineering Workshops (ICDEW): 50-53 (2016).
Wai, A. A. P., F. S. Fook, M. Jayachandran, J. Biswas,J. E. Lee & P. Yap. Implementation of context-aware distributed sensor network system for managing incontinence among patients with dementia. 2010 International Conference on Body Sensor Networks (BSN): 102-105 (2010).
Wang, H., H. Zheng, J. C. Augusto, S. Martin, M.Mulvenna, W. Carswell & K. McSorley. Monitoring and analysis of sleep pattern for people with early dementia. 2010 IEEE International Conference on Bioinformatics and Biomedicine Workshops (BIBMW): 405-410 (2010).
Acharya, M. H., T. B. Gokani, K. N. Chauhan & B.P. Pandya. Android application for dementia patient. International Conference on Inventive Computation Technologies (ICICT): 1-4 (2016).
Schwiegelshohn, F., P. Wehner, F. Werner, D.Gohringer, & M. Hubner. Enabling indoor object localization through Bluetooth beacons on the RADIO robot platform. 2016 International Conference on Embedded Computer Systems: Architectures, Modeling and Simulation (SAMOS):328-333 (2016).
Likert, R. A technique for the measurement of attitudes. Archives of psychology, (1932).
Brooke J. SUS-A quick and dirty usability scale. In: Usability evaluation in industry. CRC Press, p. 189-194 (1996).
Kirakowski, J. & M. Corbett. SUMI: The software usability measurement inventory. British Journal of Educational Technology 24(3): 210-212 (1993).
