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研究生:陳亞函
研究生(外文):Chen, Ya-Han
論文名稱:瞬態誘發耳聲傳射測量系統實作與測試
論文名稱(外文):Implementation and Testing of a Transient Evoked Otoacoustic Emission Measurement System
指導教授:劉奕汶
指導教授(外文):Liu, Yi-Wen
口試委員:李沛群冀泰石
口試委員(外文):Li, Pei-ChunChi, Tai-Shih
口試日期:2016-12-14
學位類別:碩士
校院名稱:國立清華大學
系所名稱:電機工程學系
學門:工程學門
學類:電資工程學類
論文種類:學術論文
論文出版年:2016
畢業學年度:105
語文別:中文
論文頁數:45
中文關鍵詞:瞬態誘發耳聲傳射
外文關鍵詞:Transient Evoked Otoacoustic EmissionTEOAE
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耳聲傳射在醫療上普遍用於嬰兒的聽力篩檢,主要可檢測耳蝸外毛細胞功能正常與否,而其量測優點為非侵入性及可以得到外毛細胞狀態相關的訊息。瞬態誘發耳聲傳射為耳蝸受到短暫的脈衝聲音刺激,會在短暫聲音刺激過後的20ms內,有耳聲傳射從高頻先回傳並逐漸低頻。文獻中可查出各頻率延遲時間在正常聽力的人耳中,1kHz、2kHz、4kHz及8kHz延遲時間分別約為11ms、7.1ms、4.6ms及3.0ms。瞬態誘發耳聲傳射目前在醫療上主要利用振幅作為判斷耳蝸之聲音處理能力正常與否,而非探討各頻率的延遲時間,本論文實作瞬態誘發耳聲傳射測量系統,並將得到的有效訊號透過約3000次加總平均,平均後分別以群延遲方法來看各頻率的延遲時間,及利用希爾伯特轉換方法分析瞬時單一頻率,確認量到的是瞬態誘發耳聲傳射訊號。更進一步,以ConceFT的時頻分析方法,可以更清晰呈現瞬時各頻率的狀態,未來在臨床運用上,可望能在5分鐘左右的時間,於一般研究室採集有效的瞬態誘發耳聲傳射波形。根據目前的量測,其訊號雜訊比平均為13.2dB。本論文透過重複量測20個相異耳,得到100筆瞬態誘發耳聲傳射波形,利用K個最近鄰居法分類,其相異耳之間辨識率能高達94%,且透過主成分分析方法,發現每筆資料只需要以35個維度表示即可,未來或許可以運用在生物辨識上。
Otoacoustic emission (OAE) is commonly used for infants hearing screening. Its main application is to check if the cochlear outer hair cells function normally. Advantages of the OAE include non-invasiveness and correlation to the condition of the outer hair cells. Transient evoked otoacoustic emission (TEOAE) comes from the cochlea when it is stimulated by an acoustic impulse. Within 20ms after the impulse, OAE components occur sequentially from higher to lower frequencies, and the delay time of the 1kHz, 2kHz, 4kHz and 8kHz emission are 11ms, 7.1ms, 4.6ms and 3.0ms respectively. Nowadays, TEOAE is mainly judged by the amplitude instead of the delay time of each frequency for medical care. This study implements a TEOAE system and obtains TEOAE waveforms by averaging across approximately 3000 repetitions. Afterwards, group delay was calculated to view the latency of each frequency, while Hilbert transform is conducted to analyze the instantaneous frequency, and thereby the success was confirmed regarding the acquisition of TEOAE signals. Moreover, by using ConceFT analysis, we can visualize the transient state of each frequency with high precision. It is expected that in the future, TEOAE will be collected effectively within 5 minutes in the clinics. According to current measurement, the average SNR is 13.2dB. This study measures 20 ears repeatedly, acquiring 100 cases of TEOAE waveforms. Classified by the K nearest neighbor, the recognition rate between different ears reaches 94% accuracy, and by principal component analysis, it is found that each data can be sufficiently represented by just 35 dimensions, which is in prospect of applying to biometrics in the future.
摘要 I
Abstract II
第一章 緒論 1
1.1 耳聲傳射簡介 1
1.2 研究動機與文獻探討 4
第二章 實驗器材與訊號擷取流程 6
2.1 實驗器材與設計 6
2.2 實驗方法與流程 8
第三章 訊號分析方法及結果 9
3.1 訊號前處理 9
3.2 訊號群延遲 15
3.3 利用希爾伯特轉換分析瞬時頻率 17
3.4 利用ConceFT分析瞬時頻率 19
第四章 結果分析與討論 23
4.1 瞬態誘發耳聲傳射量測結果分析 23
4.2 利用瞬態誘發耳聲傳射作為生物辨識 27
4.3 前3ms訊號處理討論 35
第五章 結論與未來發展 41
參考文獻 42
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