臺灣博碩士論文加值系統

經過徹底的調查，嬰兒猝死症候群的死因至今仍然無法被解釋，但經研究指出，睡姿是其中一個重要的因素。因此本文利用德州儀器所開發的IWR6843AOPEVM毫米波雷達感測器，設計了一款基於毫米波調頻連續波雷達技術的嬰兒猝死症候群監測系統。該系統能夠透過雷達即時檢測出嬰兒當前的呼吸心跳以及睡覺姿勢。當嬰兒的呼吸心跳出現異常或是處於不當的睡覺姿勢，系統會立即發出警報來提醒看護人採取必要的緊急措施。此外，本文所設計的監測系統採用非接觸式設計，可以避免嬰兒在線材上的拉扯或是儀器設備所導致的皮膚不適感。因此，非常適合用於進行長時間的嬰兒健康監測，從而減輕看護人照顧上的負擔以及提供嬰兒睡眠時安全上的保障。

After a thorough investigation, the cause of sudden infant death syndrome (SIDS) still cannot be explained, but research has indicated that sleeping position is one of the important factors. Therefore, this article uses the IWR6843AOPEVM millimeter-wave radar sensor developed by Texas Instruments to design a SIDS monitoring system based on millimeter-wave frequency-modulated continuous wave radar technology. The system can detect the infant's current respiratory and heartbeat status as well as sleeping posture in real-time through radar. When the infant's breathing and heartbeat are abnormal or in an improper sleeping posture, the system immediately sends an alarm to remind the caregiver to take necessary emergency measures. In addition, the monitoring system designed in this article uses a non-contact design, which can avoid the discomfort caused by the pulling of the infant's cable or the instrument equipment on the skin. Therefore, it is very suitable for long-term monitoring of infant health, thereby reducing the burden of caregivers and providing safety guarantees for infant sleep.

摘要 I
ABSTRACT II
誌謝 III
目錄 IV
表目錄 VI
圖目錄 VII
符號說明 IX
第一章 緒論 1
1.1 研究動機與目的 1
1.2 文獻回顧 2
1.3 章節架構 5
第二章 雷達原理 6
2.1 調頻連續波雷達 6
2.2 系統架構 7
2.3 距離檢測 9
2.4 RANGE-FFT 12
第三章 系統架構 14
3.1 硬體設備 14
3.2 程式設計環境 16
3.3 系統架設環境 16
3.4 系統運作流程 18
第四章 雷達訊號分析 21
4.1 原始訊號處理 21
4.2 胸腔數據分析 22
4.3 呼吸數據分析 24
4.4 心跳數據分析 25
第五章 數據演算法 26
5.1 呼吸頻率 26
5.2 心跳頻率 27
5.3 姿勢安全評估 28
第六章 研究結果 37
6.1 圖形使用者介面 37
6.2 姿勢檢測結果 39
6.3 呼吸心跳檢測結果比較 45
第七章 結論與未來展望 46
7.1 結論 46
7.2 未來展望 46
參考文獻 48

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