Cerebral Hemodynamic Phase Synchronization
What is this
Cerebral Hemodynamic Phase Synchronization explores the intricate phase relationships between brain blood flow and heart dynamics. This trend leverages advanced signal processing and wavelet analysis to discern synchronization patterns in biomedical signals.
Why it matters
Understanding cerebral hemodynamics is fundamental for improving neurological diagnostics and treatments. Growing demands for precision medicine and better non-invasive imaging technologies act as strong catalysts for this research area.
Investment angle
Investors could look at emerging medical device startups and companies developing advanced neuroimaging and diagnostic tools. Additionally, collaborations between academic research and medtech firms could unlock specialized investment opportunities.
Promising scientific frontier with significant but long-term potential; invest cautiously. Investability: 5/10
History
| date | signals | new | substance |
|---|---|---|---|
| 2026-04-26 | 13 | 100% | |
| 2026-05-03 | 15 | +2 | 100% |
| 2026-05-10 | 15 | +0 | 100% |
| 2026-05-19 | 26 | +11 | 100% |
| 2026-05-26 | 27 | +1 | 100% |
| 2026-06-02 | 27 | +0 | 100% |
| 2026-06-09 | 27 | +0 | 100% |
| 2026-06-16 | 27 | +0 | 100% |
| 2026-06-23 | 28 | +1 | 100% |
| 2026-06-30 | 29 | +1 | 100% |
| 2026-07-07 | 31 | +2 | 100% |
| 2026-07-14 | 31 | +0 | 100% |
| 2026-07-21 | 31 | +0 | 100% |
| 2026-07-28 | 31 | +0 | 100% |
Evidence
- 2026-07-07arXivWavelet Scattering Transform for Interpretable Schizophrenia Biomarker Discovery and Classification from Resting-State EEG · detail
- 2026-07-02PubMedOlfactory Perception and Neural Rhythms: A Simulation-Based EEG Analysis Using Power Spectral Density FeaturesOlfactory perception and neural rhythms: a simulation-based eeg analysis using power spectral density features. · detail
- 2026-06-26PubMedA Dynamic Mutual Information Measure of Phase-Amplitude Coupling with Uncertainty Quantification. · detail
- 2026-06-18PubMedEmbedding EEG trajectories in a Möbius-like manifold: An exploratory study. · detail
- 2026-05-20PubMedUnifying concepts in information-theoretic time-series analysis. · detail
- 2026-05-19CrossrefThe empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis · detail
- 2026-05-16PubMedThe application of the unscented Kalman filter in epilepsy research: a review. · detail
- 2026-04-29EPO Patents[EPO] REAL-TIME TRACKING OF CEREBRAL HEMODYNAMIC RESPONSE (RTCHR) OF A SUBJECT BASED ON HEMODYNAMIC PARAMETERS · detail
- 2026-04-27arXivTime-Localized Parametric Decomposition of Respiratory Airflow for Sub-Breath Analysis · detail
- 2015-02-05arXivA guide to time-resolved and parameter-free measures of spike train synchrony · detail
- 2014-10-08arXivModeling the Heart as a Communication System · detail
- 2014-02-20arXivIsolated effective coherence (iCoh): causal information flow excluding indirect paths · detail
- 2014-01-02arXivFine temporal structure of cardiorespiratory synchronization · detail
- 2013-02-24arXivShort desynchronization episodes prevail in synchronous dynamics of human brain rhythms · detail
- 2013-02-09arXivChronic Diseases and Biorhythm's Phase-Shift Dynamic. Lyapounov Criteria for Health Stability · detail
- 2010-03-10arXivModulation of Autonomous Nervous System activity by gyrosonic stimulation · detail
- 2008-03-26arXivA new stochastic process to model Heart Rate series during exhaustive run and an estimator of its fractality parameter · detail
- 2008-02-11arXivEstimation non-paramétrique de la densité spectrale d'un processus gaussien échantillonné aléatoirement · detail
- 2007-02-23arXivMultifractal analysis of normal RR heart-interbeat signals in power spectra ranges · detail
- 2007-02-09arXivCoincident Frequencies and Relative Phases Among Female-Brain Signals and Progesterone-Estrogen levels · detail