Adaptive Processing of Brain Signals (Hardcover)

In this book, the field of adaptive learning and processing is extended to arguably one of its most important contexts which is the understanding and analysis of brain signals. No attempt is made to comment on physiological aspects of brain activity; instead, signal processing methods are developed and used to assist clinical findings. Recent developments in detection, estimation and separation of diagnostic cues from different modality neuroimaging systems are discussed.

These include constrained nonlinear signal processing techniques which incorporate sparsity, nonstationarity, multimodal data, and multiway techniques.

Key features:

• Covers advanced and adaptive signal processing techniques for the processing of electroencephalography (EEG) and magneto-encephalography (MEG) signals, and their correlation to the corresponding functional magnetic resonance imaging (fMRI)
• Provides advanced tools for the detection, monitoring, separation, localising and understanding of functional, anatomical, and physiological abnormalities of the brain
• Puts a major emphasis on brain dynamics and how this can be evaluated for the assessment of brain activity in various states such as for brain-computer interfacing emotions and mental fatigue analysis
• Focuses on multimodal and multiway adaptive processing of brain signals, the new direction of brain signal research

在這本書中，自適應學習和處理的領域被擴展到了可能是其中最重要的情境之一，即對腦信號的理解和分析。我們不試圖討論腦活動的生理方面，而是開發和使用信號處理方法來協助臨床發現。本書討論了從不同模態的神經影像系統中檢測、估計和分離診斷線索的最新發展。

其中包括了結合了稀疏性、非穩態性、多模態數據和多路技術的受限非線性信號處理技術。

主要特點包括：

- 詳細介紹了用於處理腦電圖（EEG）和腦磁圖（MEG）信號以及相應功能性磁共振成像（fMRI）的先進和自適應信號處理技術。
- 提供了檢測、監測、分離、定位和理解腦部功能、解剖和生理異常的先進工具。
- 強調了腦動力學以及如何評估不同狀態下的腦活動，例如用於腦-電腦介面情緒和心理疲勞分析。
- 專注於腦信號的多模態和多路自適應處理，這是腦信號研究的新方向。