Crate elata_eeg_signal 

Signal processing utilities for EEG data

This crate provides common signal processing operations needed for EEG analysis:

• FFT computation
• Band power extraction
• Filtering
• Windowing

It is designed to work with samples buffered through elata-eeg-hal.

Example

use elata_eeg_signal::{band_power, bands};

let signal = vec![0.0; 256];
let sample_rate = 256.0;
let alpha_power = band_power(&signal, sample_rate, bands::ALPHA);

assert!(alpha_power >= 0.0);

Modules

bands

Standard EEG frequency bands (in Hz)

Structs

BandPowers

Power values for all standard EEG bands

BiquadFilter

Second-order IIR filter (biquad)

Enums

Window

Windowing functions

Functions

apply_window

Apply a window function to a signal (in-place)

band_power

Compute power in a specific frequency band

band_powers

Compute power in all standard EEG bands

bandpass_filter

Apply a bandpass filter to a signal

fft

Compute FFT of a real-valued signal

fft_frequencies

Compute frequencies corresponding to FFT bins

highpass_filter

Apply a highpass filter to a signal

lowpass_filter

Apply a lowpass filter to a signal

magnitude_spectrum

Compute magnitude spectrum from FFT output

notch_filter

Apply a notch filter (e.g., for 50/60Hz line noise removal)

power_spectrum

Compute power spectrum (magnitude squared) from FFT output

relative_band_power

Compute relative power in a specific band (as fraction of total power)