Biotuner

Biotuner integrates music theory and signal processing techniques for harmonic analysis of physiological and natural time series, providing a unified framework for extracting spectral peaks, computing harmonicity metrics, and supporting downstream analyses.

Key Features:

• Spectral Peak Extraction: Extracts spectral peaks from complex signals using multiple algorithms, ensuring robust peak detection under varying signal-to-noise ratios.
• Harmonicity Metrics: Computes harmonicity metrics that reveal significant variations in harmonicity between physiological states.
• Temporal Harmonic Analysis: Companion module extends harmonic analysis across temporal dimensions via time-resolved harmonicity.
• Spatial Harmonic Analysis: Companion module extends harmonic analysis across spatial dimensions via harmonic connectivity.
• Spectral Harmonic Analysis: Companion module extends harmonic analysis across spectral dimensions via harmonic spectrum.
• Aperiodic Component Analysis: Captures variations in the slopes of the aperiodic (1/f) component of the power spectrum.

Scientific Applications:

• Neural Time Series Analysis: Processes neural time series to identify harmonic structure in brain signals.
• Cardiac Time Series Analysis: Processes cardiac time series to identify harmonic structure in heart signals.
• Auditory Time Series Analysis: Processes auditory time series to identify harmonic structure in hearing-related signals.
• Sleep Stage Analysis: Reveals how harmonicity metrics change across distinct sleep stages.

Methodology:

The core biotuner_object processes neural, cardiac, and auditory time series. Companion modules extend harmonic analyses across temporal, spatial, and spectral dimensions.