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Study the Effectiveness of Patient's Monitoring in Hospitals Using Wireless Body Sensor Networks

دراسة فعالية مراقبة المرضى في المشافي باستخدام شبكات حساسات الجسم اللاسلكية

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 Publication date 2020
and research's language is العربية
 Created by Shamra Editor




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Telehealth is a promising technology in its effectiveness, accuracy and prevalence, and given the importance of medical care and monitoring in areas that lack adequate medical staff or are difficult to access on the one hand, and as a result of the high costs of medical treatment, especially for the elderly on the other hand. Wireless body sensor networks (WBAN) has received a lot of attention from research and development, especially as a result of the tremendous development in wireless sensor networks and modern electronics that have caused smart small size sensors that can be positioned inside or on the body. In our research, we will discuss the use of these modern networks in the medical field, in particular patient monitoring in hospitals, as continuous monitoring and control of vital parameters here are of great importance to patients' lives. The basic idea is to publish a group of sensor devices with a specific formation on the patient’s body, and these devices have several functions to perform the integrated work of measuring and sensing important parameters, and send them as information to a coordinated node that collects these data and sends them to a main station that processes this information and makes decision. Then, it sends a message of this decision to the deployed agencies that translate this decision in order to adjust the parameters again.


Artificial intelligence review:
Research summary
تتناول هذه الدراسة فعالية مراقبة المرضى في المشافي باستخدام شبكات حساسات الجسم اللاسلكية (WBAN). تبرز أهمية هذه التقنية في الرعاية الصحية عن بعد، خاصة في المناطق التي تفتقر إلى الكوادر الطبية الكافية أو يصعب الوصول إليها، وكذلك في تقليل تكاليف العلاج الطبي، خصوصاً لكبار السن. تعتمد الفكرة الأساسية على نشر مجموعة من الأجهزة الحساسة بتشكيل معين على جسم المريض لقياس وتحسس البارامترات الحيوية المهمة، وإرسالها إلى عقدة منسقة تقوم بتجميع هذه المعطيات وإرسالها إلى محطة رئيسية لمعالجة المعلومات واتخاذ القرار المناسب. يتم بعد ذلك إرسال هذا القرار إلى الأجهزة المنتشرة لضبط البارامترات من جديد. تم استخدام برنامج OPNET Modeler لمحاكاة شبكة من الحساسات المتموضعة على جسم المريض ضمن جناح مشفى، وتمت دراسة عدة بارامترات مثل التأخير الزمني والإنتاجية والحمل. أظهرت النتائج أن الشبكة قادرة على تقديم مراقبة فعالة بفضل التأخير الزمني المنخفض والإنتاجية العالية، مما يجعلها مناسبة للاستخدام في غرف العناية المركزة والمراقبة عن بعد.
Critical review
دراسة نقدية: تعد الدراسة خطوة مهمة نحو تحسين الرعاية الصحية باستخدام التكنولوجيا الحديثة، إلا أن هناك بعض النقاط التي يمكن تحسينها. أولاً، لم تتناول الدراسة بشكل كافٍ التحديات الأمنية المتعلقة بنقل البيانات الحساسة عبر الشبكات اللاسلكية، وهو ما يعد أمراً بالغ الأهمية في المجال الطبي. ثانياً، لم يتم التطرق إلى تكلفة تنفيذ هذه الشبكات في المشافي بشكل مفصل، مما يجعل من الصعب تقييم الجدوى الاقتصادية للمشروع. أخيراً، كان من الممكن تحسين الدراسة من خلال إجراء تجارب ميدانية حقيقية بدلاً من الاعتماد فقط على المحاكاة، مما يعطي نتائج أكثر دقة وواقعية.
Questions related to the research
  1. ما هي الفكرة الأساسية للدراسة؟

    الفكرة الأساسية هي استخدام شبكات حساسات الجسم اللاسلكية لمراقبة المرضى في المشافي من خلال نشر أجهزة حساسة على جسم المريض لقياس البارامترات الحيوية وإرسالها إلى محطة رئيسية لمعالجة المعلومات واتخاذ القرارات المناسبة.

  2. ما هي الأدوات المستخدمة في المحاكاة؟

    تم استخدام برنامج OPNET Modeler لمحاكاة شبكة من الحساسات المتموضعة على جسم المريض ضمن جناح مشفى.

  3. ما هي البارامترات التي تمت دراستها في المحاكاة؟

    تمت دراسة عدة بارامترات مثل التأخير الزمني، الإنتاجية، والحمل.

  4. ما هي النتائج الرئيسية للدراسة؟

    أظهرت النتائج أن الشبكة قادرة على تقديم مراقبة فعالة بفضل التأخير الزمني المنخفض والإنتاجية العالية، مما يجعلها مناسبة للاستخدام في غرف العناية المركزة والمراقبة عن بعد.


References used
Movassaghi, S.; Abolhasan, M.; Lipman, J.; Smith, D. and Jamalipour, A., " Wireless body area networks: a survey ." . IEEE Commun Surv Tutor vol.16, no.3, pp.1658 – 1686, 2014.
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