COGNOFIT - A Game for Cognitive Impaired Patients: A Prelim Study

Authors

  • Anu Priya. K  PG Student, Department of Biomedical Instrumentation Engineering School of Engineering, Avinashilingam Institute for Home Science and Higher Education for Women Coimbatore, Tamil Nadu, India

Keywords:

Cognitive Impairment, MMSE, MMSE Score, Mobile Games.

Abstract

People with permanent cognitive impairment need to be frequently assessed and monitored. There exists a various number of clinically validated cognitive assessment tools, but they need to be administered by the therapists in clinical settings often. This serves as a major barrier for frequent monitoring of cognitive function. In this proposed work, we introduce COGNOFIT a collection of innovative mobile games that allows one to self-administer the assessment of their cognitive function. The game performance is analyzed and thus converted into a clinical-accepted measure of cognitive function, specifically the Mini Mental State Examination (MMSE) score, improving the impact of the system in real-world clinical settings. To validate the feasibility of the approach, we will collect game-specific performance data from patients, which will be used to train a supervised machine learning model to estimate the corresponding MMSE score.

References

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  2. Baez, P. G., Viadero, C. F., Espinosa, N. R., Perez del Pino, M. A., & Suarez-Araujo, C. P. (2015). Detection of mild cognitive impairment using a counterpropagation network based system. An e-health solution. 2015 International Workshop on Computational Intelligence for Multimedia Understanding (IWCIM).
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  8. Baez, P. G., Viadero, C. F., Espinosa, N. R., Perez del Pino, M. A., & Suarez-Araujo, C. P. (2015). Detection of mild cognitive impairment using a counterpropagation network based system. An e-health solution. 2015 International Workshop on Computational Intelligence for Multimedia Understanding (IWCIM).
  9. Wang, B., Hong, R., Xu, Y., Zhou, F., & Wang, P. (2016). Identifying mild cognitive impairment conversion to Alzheimer’s disease from medical image information. 2016 IEEE International Conference on Consumer Electronics- Taiwan (ICCE-TW).
  10. Osamu, T., Ryu, T., Hayashida, A., Moshnyaga, V., Sakamoto, D., Imai, Y., & Shibata, T. (2014). A smart system for home monitoring of people with cognitive impairment. 2014 IEEE Canada International Humanitarian Technology Conference - (IHTC).
  11. Leduc-McNiven K, White B, Zheng H, D McLeod R, R Friesen M Serious games to assess mild cognitive impairment: ‘The game is the assessment’ Res Rev Insights.
  12. Tan, H.-X., & Tan, H.-P. (2018). Early detection of mild cognitive impairment in elderly through IoT: Preliminary findings. 2018 IEEE 4th World Forum on Internet of Things (WF-IoT).

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Published

2020-03-05

Issue

Section

Research Articles

How to Cite

[1]
Anu Priya. K, " COGNOFIT - A Game for Cognitive Impaired Patients: A Prelim Study , International Journal of Scientific Research in Science and Technology(IJSRST), Online ISSN : 2395-602X, Print ISSN : 2395-6011, Volume 5, Issue 5, pp.01-04, March-April-2020.