研究目的
To review and suggest enhancements to wavelet transform time–frequency methods for NIRS-based analysis of cerebral autoregulation.
研究成果
Wavelet transform methods, including WCC, CMP, PSI, and others, are valuable tools for analyzing cerebral autoregulation using NIRS and blood pressure signals. These methods allow for the measurement of frequency-dependent temporal dynamics of the system, which is often transient, aperiodic, and intermittent. The author suggests that localized transform phase monitoring in real time may provide a useful new high-resolution view of the local dynamics, with low-oscillation wavelets potentially offering increased temporal resolution.
研究不足
The paper does not conduct new experiments but reviews existing methodologies. It highlights the need for further development of wavelet-based techniques for clinical bedside tools and the importance of considering localized signal information for more robust analysis.
