ArticleComputers in biology and medicine2018
Hypersampling of pseudo-periodic signals by analytic phase projection.
Article in Computers in biology and medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Ultrafast fMRI Detects Age-Related Changes in Harmonics of Cardiac Pulsations in the Brain at 7 T.Magnetic resonance in medicine · 2026Article
- Ultrafast fMRI detects age-related changes in harmonics of cardiac pulsations in the brain at 7 T.bioRxiv : the preprint server for biology · 2025Article
- Robust data-driven segmentation of pulsatile cerebral vessels using functional magnetic resonance imaging.Interface focus · 2024Article
- Pulsatility analysis of the circle of Willis.Aging brain · 2024Article
- WHOCARES: WHOle-brain CArdiac signal REgression from highly accelerated simultaneous multi-Slice fMRI acquisitions.Journal of neural engineering · 2022Article
- Extraction of the cardiac waveform from simultaneous multislice fMRI data using slice sorted averaging and a deep learning reconstruction filter.NeuroImage · 2019Article
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Abstract
A method to upsample insufficiently sampled experimental time series of pseudo-periodic signals is proposed. The result is an estimate of the pseudo-periodic cycle underlying the signal. This "hypersampling" requires a sufficiently sampled reference signal that defines the pseudo-periodic dynamics. The time series and reference signal are combined by projecting the time series values to the analytic phase of the reference signal. The resulting estimate of the pseudo-periodic cycle has a considerably higher effective sampling rate than the time series. The procedure is applied to time series of MRI images of the human brain. As a result, the effective sampling rate could be increased by three orders of magnitude. This allows for capturing the waveforms of the very fast cerebral pulse waves traversing the brain. Hypersampling is numerically compared to the more commonly used retrospective gating. An outlook regarding EEG and optical recordings of brain activity as the reference signal is provided.
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