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Bed Position Classification by a Neural Network and Bayesian Network Using Noninvasive Sensors for Fall Prevention
المؤلفون المشاركون
Viriyavit, Waranrach
Sornlertlamvanich, Virach
المصدر
العدد
المجلد 2020، العدد 2020 (31 ديسمبر/كانون الأول 2020)، ص ص. 1-14، 14ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2020-01-31
دولة النشر
مصر
عدد الصفحات
14
التخصصات الرئيسية
الملخص EN
Falls from a bed often occur when an elderly patient attempts to get out of bed or comes close to the edge of a bed.
These mishaps have a high possibility of serious injuries, such as bruises, soreness, and bone fractures.
Moreover, a lack of repositioning the body of a bedridden elderly person may cause bedsores.
To avoid such a risk, a continuous activity monitoring system is needed for taking care of the elderly.
In this study, we propose a bed position classification method based on the sensor signals collected from only four sensors that are embedded in a panel (composed of two piezoelectric sensors and two pressure sensors).
It is installed under the mattress on the bed.
The bed positions considered are classified into five different classes, i.e., off-bed, sitting, lying center, lying left, and lying right.
To collect the training dataset, three elderly patients were asked for consent to participate in the experiment.
In our approach, a neural network combined with a Bayesian network is adopted to classify the bed positions and put a constraint on the possible sequences of the bed positions.
The results from both the neural network and Bayesian network are combined by the weighted arithmetic mean.
The experimental results have a maximum accuracy of position classification of 97.06% when the proportion of coefficients for the neural network and the Bayesian network is 0.3 and 0.7, respectively.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Viriyavit, Waranrach& Sornlertlamvanich, Virach. 2020. Bed Position Classification by a Neural Network and Bayesian Network Using Noninvasive Sensors for Fall Prevention. Journal of Sensors،Vol. 2020, no. 2020, pp.1-14.
https://search.emarefa.net/detail/BIM-1190469
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Viriyavit, Waranrach& Sornlertlamvanich, Virach. Bed Position Classification by a Neural Network and Bayesian Network Using Noninvasive Sensors for Fall Prevention. Journal of Sensors No. 2020 (2020), pp.1-14.
https://search.emarefa.net/detail/BIM-1190469
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Viriyavit, Waranrach& Sornlertlamvanich, Virach. Bed Position Classification by a Neural Network and Bayesian Network Using Noninvasive Sensors for Fall Prevention. Journal of Sensors. 2020. Vol. 2020, no. 2020, pp.1-14.
https://search.emarefa.net/detail/BIM-1190469
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1190469
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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