Advantages:
- This technology, compared to existing methods, provides superior accuracy in analyzing intermittent dynamics.
- Notably, it demonstrates outstanding robustness, making it highly reliable in noisy environments and varying sampling rates.
- With this innovative approach, researchers and students can easily access profound insights into complex system dynamics.
Summary:
This technology addresses a significant challenge in complex system analysis, offering a solution to accurately understand intermittent dynamics. Existing methodologies, such as the Hankel alternative view of the Koopman (HAVOK) model, often struggle to decipher these dynamics amidst noise and varying sampling rates. This limitation has hampered our ability to gain deep insights into complex system behaviors, particularly in pathophysiological processes like obstructive sleep apnea.
What sets this technology apart is its innovative approach. It introduces a novel method that combines spectral decomposition and wavelet analysis, allowing for a comprehensive characterization of intermittent dynamics. Its key feature is its robustness, enabling it to excel in noisy environments and adapt to changing sampling rates. This breakthrough empowers researchers and students to explore complex system dynamics with ease, providing a more accessible perspective on phenomena like obstructive sleep apnea and creating new opportunities for exploration across various fields.
Methodology Block Diagram: HAVOK and Intermittency Analysis
Desired Partnerships:
- License
- Sponsored Research
- Co-Development