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Validation of computer models for evaluating the efficacy of cognitive stimulation therapy
Aizu Research Cluster for Medical Engineering and Informatics, Research Center for Advanced Information Science and Technology, The University of Aizu, Aizuwakamatsu, Fukushima 965-8580, Japan.ORCID iD: 0000-0002-4255-5130
2015 (English)In: Wireless personal communications, ISSN 0929-6212, E-ISSN 1572-834X, 1-14 p.Article in journal (Refereed) Epub ahead of printText
Abstract [en]

The notion of using computational methods for evaluating cognitive stimulation therapy (CST) based on the synchronized recording of photoplethysmographic (PPG) signals of care-givers and participants offers an objective and cost-effective analysis in health care to improve the patient’s quality of life. While computer models are promising as a useful tool for such a purpose, a question of interest is how the model reliability, which is the degree to which an assessment tool produces stable and consistent results, can be established. This paper addresses this issue with the application of dynamic-time warping and resampling to measure the performance of two PPG features known as the largest Lyapunov exponent and linear predictive coding, which have been applied for studying the efficacy of CST. The potential success of this computerized evaluation can be a precursor to the development of a personalized e-therapy system that operates on mobile devices.

Place, publisher, year, edition, pages
Springer, 2015. 1-14 p.
Keyword [en]
Cognitive stimulation therapy, Cognitive decline, Model performance assessment, Therapeutic communication, Dynamic-time warping, Photoplethysmograph, Largest Lyapunov exponent, Linear predictive coding
National Category
Computer Systems
URN: urn:nbn:se:liu:diva-128597DOI: 10.1007/s11277-015-3017-7OAI: diva2:930740
Available from: 2016-05-25 Created: 2016-05-25 Last updated: 2016-08-09

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Pham, Tuan D
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