採用 CO2 傳感器的優化多生命體徵系統

本研究主要利用Grove SCD30二氧化碳含溫溼度感測器收集環境參數，並收集不同性別和年齡層的受測者在生理狀態穩定時呼吸吐氣的二氧化碳濃度進行比較，再透過BeatInfo HR100心率傳感器測得受測者在運動前與運動中的呼吸頻率，分析激烈運動時二氧化碳濃度變化與呼吸頻率之間的關係，成為此研究中估測呼吸頻率的重要參考數據。使用樹莓派4型號B開發板作為系統主體，以Grove SCD30二氧化碳含溫溼度感測器自製CO2 濃度感測器，以抓取使用者呼氣氣體中的CO2 濃度並即時判定其呼吸頻率，若該測試者此時生理狀態處於不穩定時，將透過系統以LINE Notify傳送訊息提醒請使用者稍作休息，待生理狀態回復穩定後再次進行量測。以CO2濃度可得知該受測者是否處於穩定狀態下，並同時將當下的環境參數與受測者生理數據即時上傳至IoTtalk物聯網平台，以視覺化的圖形介面讓使用者方便查閱歷史環境數據與生理數據，並且可進行多項數據比對以提供更近一步的探討。我們的方案可以確保使用者在進行生理狀態量測時的數據可用性，以利醫療相關領域之應用可通過採用感測器融合取得準確的生命體徵數據。關鍵決策閥值判斷感測器前有無使用者為二氧化碳濃度是否超過1,200 ppm，判斷使用者生理狀態的二氧化碳濃度為是否超過2,500 ppm。本系統之開發宗旨為透過跨領域的技術結合，藉由人工智慧與物聯網的技術，提升醫療照護的技術，使數據的收集與整合更加快速與智慧化。確保居家照顧與遠距醫療的品質，在不受場域影響的狀態下，達到智慧生醫的轉型與創新。

關鍵字

感測器融合；二氧化碳；物聯網；呼吸頻率；樹莓派開發板； SCD30 ； IoTtalk ； BeatInfo

並列摘要

The development board of Raspberry Pi 4 model B is the core system, in which the self-made CO2 concentration sensor box with two Grove SCD30 sensors is responsible for capturing the CO2 concentration in the user's exhaled gas and determining the breathing frequency in real-time. If the test subject's physiological state is unstable at that moment, the system will send a message via LINE Notify to remind the user to take a short rest. Once the physiological state stabilizes, the measurement will continue. The CO2 concentration can indicate whether the test subject is stable. The current environmental parameters and physiological data are simultaneously uploaded to the IoTtalk platform in real-time, offering a visual graphical interface for users to conveniently access historical environmental and physiological data and enabling multiple data comparisons for further exploration. Our solution ensures data availability during physiological measurements, enabling accurate vital signs data for applications in medical-related fields through sensor fusion. The critical decision threshold for determining whether the sensor has a user in front of it is whether the CO2 concentration exceeds 1,200 ppm. The point for determining the subject's physiological state based on CO2 concentration is whether it exceeds 2,500 ppm. The development goal of this system is to enhance healthcare technology by combining interdisciplinary approaches and leveraging artificial intelligence and IoT technologies to expedite and achieve intelligent data collection and integration. It aims to ensure the quality of home care and remote medical services, completing the transformation and innovation of intelligent biomedicine independent of physical limitations.