Screening of mild cognitive impairment in elderly via Doppler radar gait measurement

Author:

Saho Kenshi1,Uemura Kazuki1,Matsumoto Michito2

Affiliation:

1. Faculty of Engineering, Toyama Prefectural University

2. Department of Social Welfare, Toyama College of Welfare Science

Publisher

Institute of Electronics, Information and Communications Engineers (IEICE)

Subject

General Medicine

Reference9 articles.

1. [1] J. Verghese, M. Robbins, R. Holtzer, M. Zimmerman, C. Wang, X. Xue, and R. B. Lipton, “Gait dysfunction in mild cognitive impairment syndromes,” J. Am. Geriatr. Soc., vol. 56, no. 7, pp. 1244–1251, July 2008. DOI:10.1111/j.1532-5415.2008.01758.x

2. [2] J. W. Kim, D. Y. Lee, E. H. Seo, B. K. Sohn, Y. M. Choe, S. G. Kim, S. Y. Park, I. H. Choo, J. C. Youn, J. H. Jhoo, K. W. Kim, and J. I. Woo, “Improvement of screening accuracy of mini-mental state examination for mild cognitive impairment and non-Alzheimer disease dementia by supplementation of verbal fluency performance,” Psychiatry Investig., vol. 11, no. 1, pp. 44–51, Jan. 2014. DOI:10.4306/pi.2014.11.1.44

3. [3] T. Buracchio, H. H. Dodge, D. Howieson, D. Wasserman, and J. Kaye, “The trajectory of gait speed preceding mild cognitive impairment,” Arch. Neurol., vol. 67, no. 8, pp. 980–986, Aug. 2010. DOI:10.1001/archneurol.2010.159

4. [4] M. Lussier, M. Lavoie, S. Giroux, C. Consel, M. Guay, J. Macoir, C. Hudon, D. Lorrain, L. Talbot, F. Langlois, H. Pigot, and N. Bier, “Early detection of mild cognitive impairment with in-home monitoring sensor technologies using functional measures: A systematic review,” IEEE J. Biomed. Health Inform., vol. 23, no. 2, pp. 838–847, Mar. 2019. DOI:10.1109/JBHI.2018.2834317

5. [5] M. Gwak, E. Woo, and M. Sarrafzadeh, “The role of accelerometer and gyroscope sensors in identification of mild cognitive impairment,” Proc. IEEE Global Conf. on Sign. and Inform. Proc., Anaheim, CA, USA, pp. 434–438, Nov. 2018. DOI:10.1109/GlobalSIP.2018.8646622

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