ArticleBiomedical signal processing and control2020
Algorithm for Determination of Thresholds of Significant Coherence in Time-Frequency Analysis.
Article in Biomedical signal processing and control, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Dynamic Neural Network States During Social and Non-Social Cueing in Virtual Reality Working Memory Tasks: A Leading Eigenvector Dynamics Analysis Approach.Brain sciences · 2024Article
- Dual-slope imaging of cerebral hemodynamics with frequency-domain near-infrared spectroscopy.Neurophotonics · 2023Article
- Noninvasive Optical Measurements of Dynamic Cerebral Autoregulation by Inducing Oscillatory Cerebral Hemodynamics.Frontiers in neurology · 2021Article
- Phase dual-slopes in frequency-domain near-infrared spectroscopy for enhanced sensitivity to brain tissue: First applications to human subjects.Journal of biophotonics · 2020Article
- Multi-distance frequency-domain optical measurements of coherent cerebral hemodynamics.Photonics · 2019Article
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
A quantitative assessment of the level of coherence between two signals is important in many applications. Two biomedically relevant cases are Transfer Function Analysis (TFA) of Cerebral Autoregulation (CA) and Coherent Hemodynamics Spectroscopy (CHS), where the first signal is Arterial Blood Pressure (ABP) and the second signal is either cerebral Blood Flow Velocity (BFV) or cerebral hemoglobin concentration. To determine the time intervals and frequency bands in which the signals are significantly coherent, a coherence threshold is required. This threshold of significant coherence can be found using multiple samples of surrogate data to generate a distribution of coherence. Then the 95
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