Advancing Cochlear Implants: Current and Emerging Methods and Technologies
暫譯: 推進人工耳蝸：當前與新興的方法與技術

本書提供了對人工耳蝸系統的全面且前瞻性的探索，涵蓋了電刺激、聲音編碼和機械設計等基礎原則，以及人工智慧、手術機器人和光遺傳學的最新進展。它將技術設計與臨床護理聯繫起來，突顯工程進步如何促進人工耳蝸患者更有效的聽力恢復。

儘管人工耳蝸已經為全球超過一百萬人恢復了聽力，但圍繞其設計、功能和優化的知識仍然是零散的，分散在工程文獻、臨床研究和專門研究中。本書旨在通過將這些觀點統一為一個單一且易於獲取的資源，來填補這一空白，專注於改善患者的治療結果。

本書是為在聽力科學和神經技術交匯處工作的工程師、臨床醫生、研究生和創新者而寫，追溯了人工耳蝸從早期概念到新興技術的演變。讀者將深入了解如何在臨床和現實世界環境中評估性能，並發現客觀測量、計算建模、醫學影像和神經可塑性如何推動個性化護理。

無論您是在開發下一代聽覺設備，還是尋求對人工耳蝸背後科學的更深入理解，本書都可作為技術參考和啟發未來患者聽力恢復的指南。

Behnam Molaee-Ardekani, Ph.D., is a Senior Scientist in the Advanced Innovation Department at Cochlear Ltd. Since 2016, he has led research initiatives on cochlear implants, with a focus on audio processing, sound-coding strategies, objective measures, and the integration of machine learning into implant fitting and cochlear imaging workflows. His contributions have resulted in multiple patents and peer-reviewed scientific publications. He previously held postdoctoral positions across multiple European research projects, investigating biomarkers and brain activity dynamics in anesthesia, transcranial stimulation, epilepsy, and neurodegenerative disorders. He completed his Ph.D. in Biomedical Engineering in 2008 through a joint doctoral program between the University of Rennes 1 in France and Aryamehr (Sharif) University of Technology in Iran.

Manuel Segovia-Martinez, Ph.D., is an Audiology and Signal Processing scientist with over 20 years of experience and a demonstrated track record in the medical device industry. He earned his Ph.D. in 3D medical image processing for the diagnosis of Alzheimer's at the University of Surrey in 2001, under the supervision of the late Prof. Maria Petrou. He is currently working on the development of assisting technology for the Neurodivergent Community. Previously, he led the Oticon Medical Research and Technology and Embedded Systems departments, with a track record of releasing several generations of implantable medical devices. He has been involved in a series of intellectual developments and is the author or co-author of several patents that form the basis of Oticon Medical's CI audiology strategy.

Behnam Molaee-Ardekani博士是Cochlear Ltd.高級科學家，任職於先進創新部門。自2016年以來，他主導了有關人工耳蝸的研究計畫，專注於音頻處理、聲音編碼策略、客觀測量以及將機器學習整合到植入裝置調整和耳蝸影像工作流程中。他的貢獻已導致多項專利和同行評審的科學出版物。他曾在多個歐洲研究項目中擔任博士後研究員，研究麻醉、經顱刺激、癲癇和神經退行性疾病中的生物標記和腦活動動態。他於2008年通過法國Rennes 1大學和伊朗Aryamehr (Sharif)科技大學的聯合博士計畫完成生物醫學工程博士學位。

Manuel Segovia-Martinez博士是一位擁有超過20年經驗的聽力學和信號處理科學家，在醫療器械行業中有著卓越的成就。他於2001年在薩里大學獲得博士學位，研究主題為阿茲海默症的3D醫學影像處理，指導教授為已故的Maria Petrou教授。目前，他正在開發針對神經多樣性社群的輔助技術。此前，他曾領導Oticon Medical的研究與技術部門及嵌入式系統部門，成功推出多代可植入醫療設備。他參與了一系列的知識產權開發，並是多項專利的作者或共同作者，這些專利構成了Oticon Medical的CI聽力學策略的基礎。