Digital Twins-Based Internet of Robotic Things for Remote Health Monitoring of COVID-19 Patients
نویسندگان
چکیده
The deadly coronavirus disease (COVID-19) has highlighted the importance of remote health monitoring (RHM). digital twins (DTs) paradigm enables RHM by creating a virtual replica that receives data from physical asset, representing its real-world behavior. However, DTs use passive internet things (IoT) sensors, which limit their potential to specific location or entity. This problem can be addressed using robotic (IoRT), combines robotics and IoT, allowing (RTs) navigate in particular environment connect IoT devices vicinity. Implementing IoRT, creates (virtual twin) real-time RT (physical mirror status. require user interface for interaction visualization. Virtual reality (VR) used as an due natural ability visualize interact with DTs. research proposes system COVID-19 patients DTs-based IoRT VR-based interface. It also presents evaluates robot navigation performance, is vital monitoring. twin (VT) operates (PT) real (RE), collects patient-mounted sensors transmits it control service VR medical examination. prevents direct staff contaminated patients, protecting them infection stress. experimental results verify quality (accuracy, completeness, timeliness) high accuracy PT’s navigation.
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در سالهای اخیر،اختلالات کیفیت توان مهمترین موضوع می باشد که محققان زیادی را برای پیدا کردن راه حلی برای حل آن علاقه مند ساخته است.امروزه کیفیت توان در سیستم قدرت برای مراکز صنعتی،تجاری وکاربردهای بیمارستانی مسئله مهمی می باشد.مشکل ولتاژمثل شرایط افت ولتاژواضافه جریان ناشی از اتصال کوتاه مدار یا وقوع خطا در سیستم بیشتر مورد توجه می باشد. برای مطالعه افت ولتاژ واضافه جریان،محققان زیادی کار کرده ...
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ژورنال
عنوان ژورنال: IEEE Internet of Things Journal
سال: 2023
ISSN: ['2372-2541', '2327-4662']
DOI: https://doi.org/10.1109/jiot.2023.3267171