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[O4–09–05]: DELIVERING COGNITIVE STIMULATION WITH TECHNOLOGY
Author(s) -
Smith Sarah K.,
Astell Arlene J.
Publication year - 2017
Publication title -
alzheimer's and dementia
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 6.713
H-Index - 118
eISSN - 1552-5279
pISSN - 1552-5260
DOI - 10.1016/j.jalz.2017.07.470
Subject(s) - conversation , quality of life (healthcare) , cognition , dementia , reminiscence , gerontology , medicine , psychology , cognitive decline , cognitive impairment , audiology , physical therapy , psychotherapist , psychiatry , communication , cognitive psychology , disease
extended this work to estimate step length, step time walking speed and stride length since early indications of functional loss include change in gait characteristics. Methods: Up to 128 sensors produce a voltage due to a person walking on the carpet. We obtained the walking data from both the smart carpet and the GAITRite [3] mat simultaneously by overlaying the smart carpet over the GAITRite mat. Subjects walked across the carpet and mat for 9 trials each. The data acquisition system of the smart carpet recorded the location of the active sensors, and used to extract the gait parameters. Volunteers performed 9 walks. Data frames read from the data acquisition system provided step counts, walking distance and time. Results: We achieved excellent agreement for walking speed, stride length and stride time between the two systems. The mean percentage error difference for walking speed is 1.43% (SD, 4.4%), stride length is -4.32% and stride time is -5.73%. We compared our work to the work done using a Kinect and web cameras system with excellent agreement. Conclusions: As we showed previously we can detect falls with high accuracy and display this data in real-time. We can now estimate important gait parameter that can lead to an assessment of fall risk. References [1] Alzheimer’s Disease Facts and Figures, 2015. [2] Neelgund R.,“Floor sensor development using signal scavenging for personnel detection system”, University of Missouri, Columbia 2010. Masters thesis for MS Degree. [3] K. E. Webster, J. E. Wittwer, Julian F. Feller, “Validity of GAITRite Walkway System for the Measurement of Averaged and Individual Step Parameters of Gait”, Gait and Posture 22, pp 317-321, 2005.