Improving analysis of biomedical time series data using adaptive frequency bands
Adaptive Frequency Band Estimation and Analysis
This study is working on new ways to analyze health data over time, which could help doctors get better insights into your health and improve how they diagnose and monitor conditions.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Texas A&m University NIH-funded |
| Lab location | 1 site (College Station, United States) |
| Project ID | NIH-10709545 on NIH RePORTER |
What this research studies
This research focuses on enhancing the analysis of biomedical time series data by developing new methods for estimating frequency bands. It aims to create adaptive techniques that can better capture the variability and characteristics of signals from a population, rather than relying on traditional, subjective methods. By utilizing advanced algorithms, the research will address both stationary and nonstationary signals, as well as multivariate data, ultimately providing more accurate insights into the underlying biomedical phenomena. Patients may benefit from improved diagnostic and monitoring techniques that arise from this enhanced analysis.
Who could benefit from this research
Good fit: Ideal candidates for participation or benefit from this research are adults over 21 years old who undergo magnetic resonance imaging for various health assessments.
Not a fit: Patients who are under 21 years old or those who do not require magnetic resonance imaging may not receive any benefit from this research.
Why it matters
Potential benefit: If successful, this research could lead to more accurate and personalized diagnostic tools for various medical conditions.
How similar studies have performed: Other research has shown promise in using adaptive methods for analyzing biomedical data, suggesting that this approach could yield significant advancements.
Where this research is happening
College Station, United States
- Texas A&m University — College Station, United States (Active)
Researchers
- Principal investigator: Bruce, Scott a — Texas A&m University
- Study coordinator: Bruce, Scott a
About this research
- This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
- Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
- For full project details, budget, and progress reports, visit the official NIH RePORTER page below.