کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
504805 864435 2016 11 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Automatic limb identification and sleeping parameters assessment for pressure ulcer prevention
ترجمه فارسی عنوان
شناسایی خودکار اندام و ارزیابی پارامترهای خواب برای پیشگیری از زخم فشاری
کلمات کلیدی
خوشه بندی نمودار؛ شناسایی اندام؛ تصویر فشار؛ زخم فشاری؛ ارزیابی
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر نرم افزارهای علوم کامپیوتر
چکیده انگلیسی

Pressure ulcers (PUs) are common among vulnerable patients such as elderly, bedridden and diabetic. PUs are very painful for patients and costly for hospitals and nursing homes. Assessment of sleeping parameters on at-risk limbs is critical for ulcer prevention. An effective assessment depends on automatic identification and tracking of at-risk limbs. An accurate limb identification can be used to analyze the pressure distribution and assess risk for each limb. In this paper, we propose a graph-based clustering approach to extract the body limbs from the pressure data collected by a commercial pressure map system. A robust signature-based technique is employed to automatically label each limb. Finally, an assessment technique is applied to evaluate the experienced stress by each limb over time. The experimental results indicate high performance and more than 94% average accuracy of the proposed approach.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Computers in Biology and Medicine - Volume 75, 1 August 2016, Pages 98–108
نویسندگان
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