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Wearable Technology for Detecting Significant Moments in Individuals with Dementia
المؤلفون المشاركون
Lai Kwan, Chelsey
Mahdid, Yacine
Motta Ochoa, Rossio
Lee, Keven
Park, Melissa
Blain-Moraes, Stefanie
المصدر
العدد
المجلد 2019، العدد 2019 (31 ديسمبر/كانون الأول 2019)، ص ص. 1-13، 13ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2019-09-25
دولة النشر
مصر
عدد الصفحات
13
التخصصات الرئيسية
الملخص EN
The detection of significant moments can support the care of individuals with dementia by making visible what is most meaningful to them and maintaining a sense of interpersonal connection.
We present a novel intelligent assistive technology (IAT) for the detection of significant moments based on patterns of physiological signal changes in individuals with dementia and their caregivers.
The parameters of the IAT are tailored to each individual’s idiosyncratic physiological response patterns through an iterative process of incorporating subjective feedback on videos extracted from candidate significant moments identified through the IAT algorithm.
The IAT was tested on three dyads (individual with dementia and their primary caregiver) during an eight-week movement program.
Upon completion of the program, the IAT identified distinct, personal characteristics of physiological responsiveness in each participant.
Tailored algorithms could detect moments of significance experienced by either member of the dyad with an agreement with subjective reports of 70%.
These moments were constituted by both physical and emotional significances (e.g., experiences of pain or anxiety) and interpersonal significance (e.g., moments of heighted connection).
We provide a freely available MATLAB toolbox with the IAT software in hopes that the assistive technology community can benefit from and contribute to these tools for understanding the subjective experiences of individuals with dementia.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Lai Kwan, Chelsey& Mahdid, Yacine& Motta Ochoa, Rossio& Lee, Keven& Park, Melissa& Blain-Moraes, Stefanie. 2019. Wearable Technology for Detecting Significant Moments in Individuals with Dementia. BioMed Research International،Vol. 2019, no. 2019, pp.1-13.
https://search.emarefa.net/detail/BIM-1126810
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Lai Kwan, Chelsey…[et al.]. Wearable Technology for Detecting Significant Moments in Individuals with Dementia. BioMed Research International No. 2019 (2019), pp.1-13.
https://search.emarefa.net/detail/BIM-1126810
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Lai Kwan, Chelsey& Mahdid, Yacine& Motta Ochoa, Rossio& Lee, Keven& Park, Melissa& Blain-Moraes, Stefanie. Wearable Technology for Detecting Significant Moments in Individuals with Dementia. BioMed Research International. 2019. Vol. 2019, no. 2019, pp.1-13.
https://search.emarefa.net/detail/BIM-1126810
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1126810
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
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