Biomedical Signal Processing: A Modern Approach
暫譯: 生物醫學信號處理：現代方法
Naik, Ganesh R., Santos, Wellington Pinheiro Dos
- 出版商: CRC
- 出版日期: 2025-08-29
- 售價: $2,730
- 貴賓價: 9.5 折 $2,594
- 語言: 英文
- 頁數: 284
- 裝訂: Quality Paper - also called trade paper
- ISBN: 1032061928
- ISBN-13: 9781032061924
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相關分類:
Machine Learning、Data Science、理工類
海外代購書籍(需單獨結帳)
相關主題
商品描述
This book presents the theoretical basis and applications of biomedical signal analysis and processing. Initially, the nature of the most common biomedical signals, such as electroencephalography, electromyography, electrocardiography and others, is described. The theoretical basis of linear signal processing is summarized, with continuous and discrete representation, linear filters and convolutions, Fourier and Wavelets transforms. Machine learning concepts are also presented, from classic methods to deep neural networks. Finally, several applications in neuroscience are presented and discussed, involving diagnosis and therapy, in addition to other applications.
Features:
- Explains signal processing of neuroscience applications using modern data science techniques.
- Provides comprehensible review on biomedical signals nature and acquisition aspects.
- Focusses on selected applications of neurosciences, cardiovascular and muscle-related biomedical areas.
- Includes computational intelligence, machine learning and biomedical signal processing and analysis.
- Reviews theoretical basis of deep learning and state-of-the-art biomedical signal processing and analysis.
This book is aimed at researchers, graduate students in biomedical signal processing, signal processing, electrical engineering, neuroscience and computer science.
商品描述(中文翻譯)
本書介紹生物醫學信號分析與處理的理論基礎及應用。首先，描述了最常見的生物醫學信號的特性，例如腦電圖（electroencephalography）、肌電圖（electromyography）、心電圖（electrocardiography）等。總結了線性信號處理的理論基礎，包括連續與離散表示、線性濾波器與卷積、傅立葉變換（Fourier transforms）和小波變換（Wavelets transforms）。本書還介紹了機器學習的概念，從經典方法到深度神經網絡（deep neural networks）。最後，討論了幾個神經科學的應用，包括診斷和治療，以及其他應用。
特色：
- 解釋使用現代數據科學技術的神經科學應用的信號處理。
- 提供對生物醫學信號特性及獲取方面的易懂回顧。
- 專注於神經科學、心血管及肌肉相關的生物醫學領域的選定應用。
- 包括計算智能、機器學習及生物醫學信號處理與分析。
- 回顧深度學習的理論基礎及最先進的生物醫學信號處理與分析。
本書旨在為生物醫學信號處理、信號處理、電機工程、神經科學及計算機科學的研究人員和研究生提供參考。
作者簡介
Ganesh Naik ranked as Top 2% of researchers in Biomedical Engineering (Stanford University Research), is a leading expert in biomedical engineering and signal processing. He received his Ph.D. degree in Electronics Engineering, specializing in biomedical engineering and signal processing, from RMIT University, Melbourne, Australia, in December 2009.
He held a Postdoctoral Research Fellow position at MARCS Institute, Western Sydney University (WSU) between July 2017 to July 2020 and worked on a CRC project for sleep. During his tenure at WSU, he has developed several novel algorithms for wearables related to sleep projects. Before that, he held a Chancellor's Post-Doctoral Research Fellowship position in the Centre for Health Technologies, University of Technology Sydney (UTS), between February 2013 and June 2017. As an early mid-career researcher, he has edited 12 books, authored around 150 papers in peer-reviewed journals and conferences. Ganesh serves as an associate editor for IEEE ACCESS, Frontiers in Neurorobotics, and two Springer journals (Circuits, Systems, and Signal Processing and Australasian Physical & Engineering Sciences in Medicine). He is a Baden-Württemberg Scholarship recipient from Berufsakademie, Stuttgart, Germany (2006-2007). In 2010, he was awarded an ISSI overseas fellowship from Skilled Institute Victoria, Australia.
Wellington Pinheiro dos Santos holds a degree in Electrical and Electronic Engineering (2001) and a Master's degree in Electrical Engineering (2003) from the Federal University of Pernambuco, and a PhD in Electrical Engineering from the Federal University of Campina Grande (2009). He is currently an Associate Professor (exclusive dedication) at the Department of Biomedical Engineering at the Center for Technology and Geosciences / School of Engineering of Pernambuco, Federal University of Pernambuco, working in the Undergraduate Program in Biomedical Engineering and the Graduate Program in Biomedical Engineering. He is also a member of the Graduate Program in Computer Engineering at Escola Politécnica de Pernambuco, Universidade de Pernambuco, since 2009. He has experience in the field of Computer Science, with an emphasis on Graphics Processing, working mainly in the following areas: topics: digital image processing, pattern recognition, computer vision, evolutionary computing, numerical optimization methods, computational intelligence, image formation techniques, virtual reality, game design and applications of Computing and Engineering in Medicine and Biology. He is a member of the Brazilian Society of Biomedical Engineering (SBEB), of the Brazilian Society of Computational Intelligence (SBIC, ex-SBRN), and of the International Federation of Medical and Biological Engineering (IFMBE).
作者簡介(中文翻譯)
甘尼什·奈克在生物醫學工程領域被評為前2%的研究人員（斯坦福大學研究），是生物醫學工程和信號處理的領先專家。他於2009年12月在澳大利亞墨爾本的RMIT大學獲得電子工程博士學位，專攻生物醫學工程和信號處理。
他於2017年7月至2020年7月在西悉尼大學的MARCS研究所擔任博士後研究員，並參與了一個與睡眠相關的CRC項目。在西悉尼大學任職期間，他為與睡眠項目相關的可穿戴設備開發了幾種新穎的算法。在此之前，他於2013年2月至2017年6月在悉尼科技大學健康技術中心擔任校長博士後研究獎學金職位。作為一名早期中期職業研究人員，他編輯了12本書籍，並在同行評審的期刊和會議上發表了約150篇論文。甘尼什擔任IEEE ACCESS、Frontiers in Neurorobotics以及兩本Springer期刊（Circuits, Systems, and Signal Processing和Australasian Physical & Engineering Sciences in Medicine）的副編輯。他是德國斯圖加特職業學院的巴登-符騰堡獎學金獲得者（2006-2007）。在2010年，他獲得了來自澳大利亞維多利亞州技術學院的ISSI海外獎學金。
威靈頓·皮尼羅·多斯·桑托斯擁有電氣與電子工程學士學位（2001年）和電氣工程碩士學位（2003年），均來自佩魯南聯邦大學，並於2009年獲得佩魯南聯邦大學的電氣工程博士學位。他目前是佩魯南聯邦大學技術與地球科學中心/工程學院生物醫學工程系的副教授（專職），參與生物醫學工程本科及研究生課程。他自2009年以來也是佩魯南大學理工學院計算機工程研究生課程的成員。他在計算機科學領域擁有經驗，重點在於圖形處理，主要工作領域包括：數位影像處理、模式識別、計算機視覺、進化計算、數值優化方法、計算智能、影像形成技術、虛擬實境、遊戲設計以及計算與工程在醫學和生物學中的應用。他是巴西生物醫學工程學會（SBEB）、巴西計算智能學會（SBIC，前身為SBRN）以及國際醫學與生物工程聯合會（IFMBE）的成員。
