Eeg Signal Processing with Python: Machine Learning Techniques for Brain-Computer Interface Development
暫譯: 使用 Python 進行腦電圖信號處理：腦機介面開發的機器學習技術

Dr. Ildar Rakhmatulin is a scientist and the creator of several popular open-source brain-computer interfaces (BCI) projects on GitHub. He is the founder of PiEEG, a low-cost BCI solution. His experience includes working as a BCI developer at Imperial College London, a machine learning researcher at Heriot-Watt University, and a researcher in the neurotechnology group at the University of Edinburgh, UK. Additionally, he is the author of neuroscience courses on Udemy.

Dr. Ganesh R. Naik is a distinguished biomedical engineer and signal processing expert, recognized within the top 2% of global researchers in his field by Stanford University. Holding a PhD from RMIT University, he has built a robust career marked by significant contributions to academia and research. Currently a senior academic at Torrens University Australia, his extensive publication record includes approximately 150 peer-reviewed papers and 14 edited books. Dr. Naik's expertise is further evidenced by his leadership roles in data analysis for large-scale research projects, particularly in sleep technology, and his development of novel algorithms for wearable devices. He has held prestigious postdoctoral positions at leading Australian institutions and has received numerous accolades, including the Baden-Württemberg Scholarship and the BridgeTech industry fellowship. His influence extends to the editorial realm, where he serves as an associate editor for prominent journals such as IEEE ACCESS and Frontiers in Neurorobotics, solidifying his position as a leading figure in biomedical engineering.

Dr. Ildar Rakhmatulin 是一位科學家，也是幾個在 GitHub 上受歡迎的開源腦機介面（BCI）專案的創建者。他是 PiEEG 的創始人，這是一個低成本的 BCI 解決方案。他的經驗包括在倫敦帝國學院擔任 BCI 開發者、在赫瑞瓦特大學擔任機器學習研究員，以及在英國愛丁堡大學的神經科技小組擔任研究員。此外，他還是 Udemy 上神經科學課程的作者。

Dr. Ganesh R. Naik 是一位傑出的生物醫學工程師和信號處理專家，被史丹佛大學認定為其領域內全球前 2% 的研究人員。他擁有 RMIT 大學的博士學位，並在學術和研究方面建立了穩固的職業生涯，作出了重要貢獻。目前，他是澳大利亞托倫斯大學的高級學者，擁有約 150 篇同行評審論文和 14 本編輯書籍的豐富出版記錄。Naik 博士的專業知識還體現在他在大型研究專案中的數據分析領導角色，特別是在睡眠科技方面，以及他為可穿戴設備開發新算法的能力。他曾在澳大利亞的頂尖機構擔任著名的博士後職位，並獲得了多項榮譽，包括巴登-符騰堡獎學金和 BridgeTech 行業獎學金。他的影響力延伸至編輯領域，擔任 IEEE ACCESS 和 Frontiers in Neurorobotics 等知名期刊的副編輯，鞏固了他在生物醫學工程領域的領導地位。