一、智能算法識別

　　1、 Intelligent algorithm recognition

　　健康體檢一體機采用先進的智能算法對收集到的數據進行處理和分析。這些算法能夠識別異常數據，并基于預設的閾值或范圍進行判斷。例如，在血壓測量中，如果測量結果超出正常血壓范圍（如收縮壓>139mmHg或<90mmhg，舒張壓>89mmHg或<60mmHg），算法會將其標記為異常數據。

　　The health examination all-in-one machine adopts advanced intelligent algorithms to process and analyze the collected data. These algorithms can identify abnormal data and make judgments based on preset thresholds or ranges. For example, in blood pressure measurement, if the measurement result exceeds the normal blood pressure range (such as systolic blood pressure>139mmHg or<90mmHg, diastolic blood pressure>89mmHg or<60mmHg), the algorithm will mark it as abnormal data.

　　二、傳感器精度

　　2、 Sensor accuracy

　　高精度的傳感器是確保測量準確性的基礎。健康體檢一體機應選用經過嚴格校準和測試的傳感器，以減少測量誤差。當傳感器檢測到的數據與預設的正常范圍不符時，會觸發報警機制。

　　High precision sensors are the foundation for ensuring measurement accuracy. The integrated health examination machine should use sensors that have undergone strict calibration and testing to reduce measurement errors. When the data detected by the sensor does not match the preset normal range, an alarm mechanism will be triggered.

　　三、實時數據監控與比對

　　3、 Real time data monitoring and comparison

　　健康體檢一體機會對實時采集的數據進行監控，并將其與預設的正常范圍或歷史數據進行比對。如果數據超出正常范圍或與歷史數據存在顯著差異，系統會判斷為異常并觸發報警。

　　The integrated health examination platform monitors real-time collected data and compares it with preset normal ranges or historical data. If the data exceeds the normal range or has significant differences from historical data, the system will determine it as abnormal and trigger an alarm.

　　四、預警機制設置

　　4、 Warning mechanism setting

　　健康體檢一體機通常具備預警機制設置功能，用戶可以根據自身情況設置個性化的預警閾值。例如，對于高血壓患者，可以設置較高的血壓預警閾值；對于糖尿病患者，可以設置較低的血糖預警閾值。當監測數據達到或超過這些閾值時，系統會自動發出預警。

　　The health examination all-in-one machine usually has a warning mechanism setting function, and users can set personalized warning thresholds according to their own situation. For example, for hypertensive patients, a higher blood pressure warning threshold can be set; For patients with diabetes, lower blood glucose warning threshold can be set. When the monitoring data reaches or exceeds these thresholds, the system will automatically issue an alert.

　　五、多種報警方式

　　5、 Multiple alarm methods

　　為了確保用戶能夠及時接收到預警信息，健康體檢一體機支持多種報警方式。這些方式可能包括聲音警報、屏幕顯示、短信通知、電話呼叫等。用戶可以根據個人喜好和需求選擇合適的報警方式。

　　In order to ensure that users can receive warning information in a timely manner, the health examination all-in-one machine supports multiple alarm methods. These methods may include sound alarms, screen displays, SMS notifications, phone calls, etc. Users can choose the appropriate alarm method based on their personal preferences and needs.

　　六、數據管理與分析

　　6、 Data Management and Analysis

　　一些高端的健康體檢一體機還配備了后端數據分析系統。該系統可以對收集到的數據進行更深入的分析和處理，包括異常數據的校正和預警。通過機器學習、數據挖掘等技術，系統能夠自動識別并處理異常數據，提高預警的準確性和有效性。

　　Some high-end health check-up all-in-one machines are also equipped with backend data analysis systems. This system can conduct more in-depth analysis and processing of collected data, including correction and warning of abnormal data. Through machine learning, data mining and other technologies, the system can automatically identify and process abnormal data, improving the accuracy and effectiveness of early warning.