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|Title: ||以嵌入式系統及Android為平台之無線自動聽性腦幹響應(AABR)量測系統;Wireless-Automated Auditory Brainstem Response (AABR) Measurement System Bases on the Android and the Embedded System|
|Keywords: ||聽性腦幹響應量測;自動聽性腦幹響應量測;新生兒聽力篩檢;嵌入式系統;智慧型手機;藍芽;卡爾曼濾波器;指數權重平均;Auditory brainstem responses (ABR);Automated auditory brainstem responses (AABR);Automatic auditory brainstem responses (AABR);Infants hearing screening;Embedded system;Smart phone;Bluetooth;Kalman filter;Exponential weighted average|
|Issue Date: ||2015-03-16 15:59:10 (UTC+8)|
|Abstract: ||新生兒聽力篩檢於幼兒後天發展占重要地位，三歲內為幼兒語言學習黃金時期，聽損越早被診斷，就能盡早進行聽力相關手術、聽力及構音訓練，降低聽損對幼兒造成日後負面影響。國民健康署於2012年推動並補助新生兒聽力篩檢，採用自動聽性腦幹響應(Automated auditory brainstem responses, AABR)檢測。然而儀器昂貴、功能簡單、需電腦操作且空間受限、部分儀器介面也無顯示腦幹波形。|
;Infants hearing screening is one of the most significant issues for the new born babies in their developments. It was the most important for the children to learn to speak before the age of 3 years old. Infants with congenital hearing-impaired should be diagnosed earlier. To reduce the negative influences for the developments of these children, it was suggested to carry out the hearing surgeries as earlier as possible. These children were also suggested to receive more trainings for hearing and articulation when they were growing. In 2012, Ministry of Health and Welfare (MHW) in Taiwan promoted the policy of the infants hearing screening with the technique of automated auditory brainstem responses (AABR). However, the instruments of AABR were expensive but with simple function, and designed to be operated with computers as the user interface, all these problems were caused to be inconvenient for each users. Furthermore, the function of displaying the patterns of the brainstem responses was not included with most instruments
To improve these disadvantages of these commercial instruments, a wireless-AABR measurement system was developed with the embedded system and the smart phone. Users could control this system to produce the stimuli with the smart phone. The evoked brainstem responses were measured from the scalp and transmitted to the smart phone through the Bluetooth module. The algorithms of Kalman filter and exponential weighted average (EWA) were used to process these signals in real-time. The wave V of the brainstem response would be identified automatically and displayed on the smart phone.
To evaluate the false positive and the reproducibility of our system, 6 male subjects (Age: 23-25; 4 subjects: Normal hearing, NH; 2 subjects: Congenital hearing-impaired, CHI) were tested in two experiments. In the first experiment, all subjects were tested with our system in the hearing exam room by 3 times. The wave V was identified with “Pass” from the results of the system on 4 normal subjects. In contract, the results showed “Refer” on another 2 subjects with hearing-impaired. The result of the false positive tested was 0, and the reproducibility was good for our system. There was no difference between the results measured in the hearing exam room and the electromagnetic pulses isolated room (EMP isolated room). To validate the accuracy of our system, we compared our system to the commercial system in the second experiment. The wave V of 5 subjects (4 NH, 1 CHI) were both identified from these two systems. However, the latencies measured from these two systems were both shorter in the higher volume of the stimuli. Although the relative latencies measured from the commercial system were longer than those of our system, our results showed that the wireless-AABR measurement system was plausible for hearing screening.
|Appears in Collections:||[電機工程研究所] 博碩士論文|
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