由於人們對於健康的重視度逐漸提高，使得人口的平均年齡持續上升，老年人口比例也持續增加。台灣已於2018年進入高齡化社會，在各類老人常見疾病中，退化性膝關節炎是嚴重影響老人活動力的關鍵因素。退化性膝關節炎發病時，會使得病患在行走或坐下時，容易感到無力、不靈活，甚至是疼痛，造成生活上極大的不便，更甚者會影響到生活起居等。而目前退化性膝關節炎的檢測方法，臨床上常透過醫療儀器如X光影像的輔助來獲知膝蓋傷害的程度，當然就有放射劑量過多的安全疑慮。為了提升檢測膝關節的操作便利性與降低安全上的疑慮、醫療輔具數位化，以及減少檢測人員與醫生的負擔，本論文提出一個創新膝蓋聽診裝置。此裝置的結構設計在針對膝蓋聲音量測時減少了皮膚摩擦的干擾。此外本研究也提出一套以慣性感測器與指向性麥克風的無線聲音與姿態檢測系統，此系統具備微小聲音收錄功能，可以偵測肢體動作角度，同時，為提升量測時佩戴的舒適性，加入無線傳輸功能以減少連接線造成的不便。此系統已完成雛形設計並經過實際人體測試，從測試結果中得知此系統初步已經可以辨識出正常與退化性膝關節炎的聲音訊號。未來這套系統將會加入其他特徵分析方法，藉由收集更多的聲音與姿態資料作為資料庫，並致力往長時間膝蓋健康監測與臨床預防醫學上之應用發展。

People’s rising emphasis on health increases the average age of population as well as the proportion of elderly population. Taiwan has got into aging society since 2018 when degenerative knee arthritis is the most serious factor in the elderly activity among various elderly diseases. The illness of degenerative knee arthritis would result in patients’ powerlessness and inflexibility during walking or sitting down, and even pain, to cause large inconvenience in life or even affect the daily life. Degenerative knee arthritis is currently detected through medical devices, e.g. X-ray imaging, to understand the degree of knee injury. However, there is the doubt of safety about excessive radiation dose. In order to enhance the operation convenience in knee joint detection and reduce the doubt of safety and digitalization of medical aids, as well as reduce the burden of inspectors and doctors, an innovative knee auscultation device, aiming to reduce the interference of skin friction in knee sound measurement, is proposed in this study. Furthermore, a wireless sound and posture detection system with inertial sensor and directional microphone, which presents tiny sound recording function and could detect physical motion angles, is proposed. Meanwhile, wireless transmission function is included to reduce the inconvenience caused by connection, in order to enhance the wearing comfort during the measurement. The system is completed the prototype design and actual human test. The test result reveals that the system could preliminarily identify normal and degenerative knee arthritis sound signals. Other characteristic analyses will be added to the system to collect more sound and posture data for the database as well as the application and development for long-term knee healthy monitoring and clinical preventive healthcare.

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