本研究以無線感測網絡(WSN)應用在大規模傷亡事件(Mass Casualty Incident)發生時，醫療機構必需即時處理大量傷患(Mass Casualty)之監測場景。另透過圖形化使用者介面(GUI)技術，模擬重症加護病房病患生理訊號監測。藉由建立傷患生理訊號節點有效管理與病患即時生理訊號監測機制，可提升醫護人員對大量傷患及重症病人之掌握程度與病人安全。而所設計之智慧閘道器更可提供遠距生理訊號監測功能。
實驗場景中使用了無線網絡技術為重症加護病房(ICU)開發監測系統，以不同視角進行監測，並依照使用者的需求修改監控介面，同時解決不同監測區域皆需安裝系統才得以使用的情況。模擬場景中所架設之介面，可使醫療人員能夠迅速掌握監測數據趨勢並處理數據中的突發異常情況。特別是在發生新興傳染病大量病患湧入醫院隔離病房時，確保醫護人員之安全，亦藉由本監測系統顯現出來。
與傳統大量傷患處置病患之方法相比，所提出的無線感測節點管理機制更快、更可靠且使用更直觀，而圖形化介面應用於監測大量病患的基本生理數值，使護理人員能以最快的速度得知病患當前的狀況以對症下藥。並且在模擬重症加護病房環境監視場景，切換GUI畫面需要的時間亦相較傳統方法要縮短了許多倍。最終結果表明該系統擁有友善的操作介面、較低的成本及非常快的速度，為眾多病患提供最即時且適切的治療。

This study applied a wireless sensor network (WSN) to the monitoring of patients during mass casualty incidents, when medical institutions must provide mass casualty care. We used graphical user interface (GUI) technology to simulate the monitoring of patient physiological signals in the intensive care unit (ICU). We established node-effective management and real-time monitoring mechanisms for patient physiological signals, which can improve the grasp and control of healthcare personnel over mass casualties and critically ill patients as well as increase patient safety. We designed smart gateway that offers remote physiological signal monitoring functions.
In our experiments, we used wireless network technology to develop a monitoring system for the intensive care unit (ICU) with visuals of patients from different angles. The monitoring interface can be altered based on user needs, and at the same time, there is no need for systems to be installed in each monitored area before they can be used. As a result, the proposed system enables healthcare personnel to swiftly see trends in monitoring data and handle any sudden anomalies. This is especially important to the safety of the healthcare personnel when there is a huge influx of patients with an emerging infectious disease requiring isolation wards.
Compared to conventional methods of dealing with mass casualties, the proposed wireless sensor node management mechanisms are faster, more reliable, and more intuitive. The application of a GUI to basic physiological signal monitoring for numerous patients enables nurses to know the current conditions of patients and treat them with the fastest speed. Simulations of ICU monitoring revealed that switching GUI screens using the proposed system was faster than that using conventional methods. The final results indicate that the proposed system has a user-friendly operation interface, lower cost, and faster speed, enabling the most immediate and appropriate treatment for numerous patients.

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