Open Source Biomedical Engineering: Bridging the Gap Between Sensing, Processing, and Visualization
暫譯: 開源生物醫學工程：連接感測、處理與視覺化之間的橋樑

這本書提供了一個實用的端到端開源技術在生物醫學工程中的應用方法，涵蓋從硬體和軟體設計到數據獲取、處理工具和雲端儲存等主題。書中還討論了生物醫學設備的概念化、實驗評估研究的設計，以及如何從早期原型轉變為可上架的產品，這些都受益於開源技術。技術章節配有實作範例，並解決新進人員和專業人士在生物醫學工程、人機互動、生理計算、心理生理學、物理治療及相關領域開發工作時所遇到的問題。書中還通過案例研究展示了開源技術如何成功加速生物醫學工程的新發展。貢獻根植於最新的硬體平台、用於信號處理和分析組件的Python，以及用於用戶界面組件的網頁技術。

- 提供硬體、軟體和產品設計指南；
- 包含源代碼、案例研究和應用範例；
- 使廣泛的讀者能夠快速將生物醫學想法轉化為解決方案。

Hugo Plácido da Silva is an award-winning biomedical researcher, inventor, and entrepreneur. He obtained his PhD with Distinction and Honour in Electrical and Computer Engineering and his Habilitation in Biomedical Engineering, both from the Instituto Superior Técnico (IST) - University of Lisbon (UL). Dr. Silva is currently a Senior Researcher at the IT - Instituto de Telecomunicações and a Professor at IST-UL. He is co-founder of multiple innovative technology-based companies operating in the fields of biomedical devices and artificial intelligence for healthcare and quality of life. Both at a technical and scientific level, he has actively contributed to and participated in more than 60 national and international projects. Dr. Silva holds 10 granted patents and published 270] papers in peer reviewed journals, international refereed conferences, and book chapters. His work has been distinguished both internationally and domestically with several awards, including the IEEE Entrepreneurship Impact Award, "Career Award alumniIPS", or the Ordem dos Engenheiros Young Engineer Innovation Award, just to name a few. His main research interests include biosignal acquisition and knowledge extraction.

Patrícia Bota holds a PhD with Distinction and Honour from Instituto Superior Técnico (IST) - University of Lisbon (UL), where she specialized in the study of human group emotions using physiological data and artificial intelligence. Her research has been published in leading journals, including IEEE Transactions on Affective Computing. Her research journey began at the Fraunhofer Portugal and later continued at the IT - Instituto de Telecomunicações, where she developed innovative algorithms for real-world biomedical applications. Dr. Bota has actively contributed to multiple open-source projects widely used in academia and industry, including ScientISST NOTES (a Jupyter Notebooks repository for biomedical engineering education), BioSPPy (a Python toolbox for biosignal processing), and TSFEL (a feature extraction library for time-series analysis). With over 1,000 citations across more than 10 peer-reviewed publications, Patrícia has been involved in over 15 international collaborations and has presented her work at prestigious events, including a NATO-related talk, a showcase at WebSummit 2019, and the European Commission's Resonances III Festival. Her expertise spans physiological signal data collection, signal processing, and machine learning, with a focus on AI-driven insights into human behavior and healthcare.

Ana Sofia Carmo is a biomedical engineer and award-winning researcher specializing in enabling technologies for physiological monitoring and seizure forecasting in epilepsy. She is completing a PhD in Biomedical Engineering at Instituto Superior Técnico (IST) - Universidade de Lisboa (UL), integrated in IT - Instituto de Telecomunicações, focusing on smart health and machine learning applications. She has actively contributed to multiple open-source projects, including SeFEF (Seizure Forecast Evaluation Framework) and EpiBOX, a system deployed in three hospitals across two research settings. Additionally, she plays a key role in PreEpiSeizures, a collaborative, multi-center project, where she is one of the most active contributors. Ana Sofia has co-authored seven scientific publications in leading journals, including the Journal of Neurology and IEEE Transactions on Biomedical Engineering. Her research interests are centered on developing innovative tools that bridge the gap between research and real-world healthcare applications. Beyond research, she is passionate about engineering outreach. She is a teaching assistant for biosignal instrumentation courses and actively contributes to ScientISST, an initiative promoting accessible biomedical instrumentation. Her contributions to ScientISST helped it gain recognition as a Best Practice by ObservIST (Técnico-Lisboa's Best Practices Observatory).

Hugo Plácido da Silva 是一位獲獎的生物醫學研究員、發明家和企業家。他在里斯本大學 (UL) 的高等技術學院 (IST) 獲得電機與計算機工程的優異博士學位及生物醫學工程的資格認證。Silva 博士目前是電信研究所 (IT) 的高級研究員及 IST-UL 的教授。他是多家創新技術公司共同創辦人，這些公司專注於生物醫療設備及人工智慧在醫療保健和生活品質方面的應用。在技術和科學層面上，他積極參與並貢獻於超過 60 個國內外項目。Silva 博士擁有 10 項已授權專利，並在同行評審的期刊、國際會議及書籍章節中發表了 270 篇論文。他的工作在國際和國內均獲得多項獎項的肯定，包括 IEEE 創業影響獎、'Career Award alumniIPS' 及工程師公會青年工程師創新獎等。他的主要研究興趣包括生物信號的獲取和知識提取。

Patrícia Bota 擁有里斯本大學 (UL) 高等技術學院 (IST) 的優異博士學位，專注於利用生理數據和人工智慧研究人類群體情感。她的研究已發表於領先的期刊，包括 IEEE Transactions on Affective Computing。她的研究旅程始於弗勞恩霍夫葡萄牙，隨後在電信研究所 (IT) 繼續，開發了用於現實世界生物醫學應用的創新算法。Bota 博士積極參與多個在學術界和產業中廣泛使用的開源項目，包括 ScientISST NOTES（生物醫學工程教育的 Jupyter Notebooks 資源庫）、BioSPPy（生物信號處理的 Python 工具箱）和 TSFEL（時間序列分析的特徵提取庫）。在超過 10 篇同行評審的出版物中，她的引用次數超過 1,000 次，並參與了超過 15 個國際合作，並在多個知名活動中展示她的工作，包括與北約相關的演講、2019 年 WebSummit 的展示以及歐洲委員會的 Resonances III Festival。她的專業涵蓋生理信號數據收集、信號處理和機器學習，專注於基於人工智慧的行為和醫療保健洞察。

Ana Sofia Carmo 是一位生物醫學工程師和獲獎研究員，專注於癲癇的生理監測和癲癇發作預測的技術。她正在里斯本大學 (UL) 的高等技術學院 (IST) 完成生物醫學工程的博士學位，並在電信研究所 (IT) 進行研究，專注於智慧健康和機器學習應用。她積極參與多個開源項目，包括 SeFEF（癲癇預測評估框架）和 EpiBOX，該系統已在兩個研究環境中的三家醫院部署。此外，她在 PreEpiSeizures 這個合作的多中心項目中扮演重要角色，是最活躍的貢獻者之一。Ana Sofia 共同撰寫了七篇在領先期刊上發表的科學出版物，包括 Journal of Neurology 和 IEEE Transactions on Biomedical Engineering。她的研究興趣集中在開發創新工具，以縮短研究與現實醫療應用之間的距離。除了研究，她對工程推廣充滿熱情。她是生物信號儀器課程的教學助理，並積極參與 ScientISST，這是一個促進可及生物醫學儀器的倡議。她對 ScientISST 的貢獻使其獲得 ObservIST（里斯本技術大學最佳實踐觀察站）的最佳實踐認可。