研究目的
To investigate the complexity of near-infrared spectroscopy signals during resting state and upper limb movements in both healthy subjects and traumatic brain injury (TBI) patients using the modified multiscale entropy (MMSE) algorithm.
研究成果
The study demonstrated that MMSE is feasible for measuring the complexity of cerebral NIRS signals in TBI patients, showing lower complexity in TBI patients compared to healthy subjects during movements. This suggests that brain injury is associated with impaired cerebrovascular reactivity. The findings could guide rehabilitation strategies.
研究不足
The study's limitations include a small sample size and the exclusion of a patient who could not perform active movement. Future research could expand to include more participants across different ages and severity of disease.
1：Experimental Design and Method Selection:
The study employed the modified multiscale entropy (MMSE) algorithm to assess the complexity of fNIRS signals.
2：Sample Selection and Data Sources:
Three TBI patients and four healthy volunteers were recruited. fNIRS data were recorded using the ETG-4000 NIRS System.
3：List of Experimental Equipment and Materials:
ETG-4000 NIRS System (Hitachi medical corporation, Japan) with laser diodes of two wavelengths (695nm and 830 nm).
4：Experimental Procedures and Operational Workflow:
Participants performed resting state, upper limb active movement, and upper limb passive movement tasks. fNIRS signals were recorded during these tasks.
5：Data Analysis Methods:
MMSE algorithm was used to analyze the complexity of fNIRS signals, focusing on oxyhemoglobin concentration time series.
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