### Apply Filter to All Channels Example

Source: https://docs.rs/rustneuro/0.2.21/rustneuro/filter/fn.apply_filter_to_all_channels.html

Demonstrates initializing filter configuration and applying it to raw EEG data.

```rust
let raw_data = load_csv("eeg.csv", 256.0, Some(0), Some(5), true).expect("Failed to load CSV");
let config = FilterConfig::new(FilterType::Notch, 50.0, 30.0, 256.0, None)
    .expect("Failed to create filter configuration");
let filtered_data = apply_filter_to_all_channels(&raw_data, &config)
    .expect("Filtering channels failed");
```

--------------------------------

### Apply a low-pass filter to a sine wave signal

Source: https://docs.rs/rustneuro/0.2.21/rustneuro/filter/fn.apply_filter.html

Demonstrates generating a synthetic sine wave and applying a low-pass filter configuration to it.

```rust
// Generate a simple sine wave at 10 Hz for a duration of 1 second (sampling rate: 256 Hz)
let sample_rate = 256.0;
let freq = 10.0;
let duration = 1.0;
let num_samples = (duration * sample_rate) as usize;
let input: Vec<f64> = (0..num_samples)
    .map(|i| (2.0 * std::f64::consts::PI * freq * i as f64 / sample_rate).sin())
    .collect();

// Create a low-pass filter with cutoff at 15 Hz
let config = FilterConfig::new(FilterType::LowPass, 15.0, 0.707, sample_rate, None)
    .expect("Failed to create filter configuration");

let output = apply_filter(&input, &config).expect("Filtering failed");

assert_eq!(output.len(), input.len());
```

--------------------------------

### Define PsdResult Struct

Source: https://docs.rs/rustneuro/0.2.21/rustneuro/spectral/struct.PsdResult.html

The structure definition for storing power spectral density data.

```rust
pub struct PsdResult {
    pub frequencies: Vec<f64>,
    pub psd: Vec<f64>,
    pub sampling_rate: f64,
}
```

--------------------------------

### apply_window

Source: https://docs.rs/rustneuro/0.2.21/rustneuro/spectral/index.html

Applies a specified window function to a signal.

```APIDOC
## apply_window

### Description
Applies a window function to the signal.

### Signature
`pub fn apply_window(signal: &[f64], window_type: WindowType) -> Vec<f64>`
```

--------------------------------

### load_csv

Source: https://docs.rs/rustneuro/0.2.21/rustneuro/io/index.html

Loads an EEG dataset from a CSV file.

```APIDOC
## load_csv

### Description
Loads an EEG dataset from a CSV file.

### Signature
`pub fn load_csv(path: &Path) -> Result<EEGData, Error>`
```

--------------------------------

### FilterConfig::new

Source: https://docs.rs/rustneuro/0.2.21/rustneuro/filter/struct.FilterConfig.html

Creates a new instance of FilterConfig with the specified parameters. Validates that the sampling rate and Q factor are positive, the cutoff frequency is below the Nyquist limit, and that gain is provided for Peak filters.

```APIDOC
## FilterConfig::new

### Description
Creates a new FilterConfig instance. This constructor validates input parameters to ensure they are within valid ranges for signal processing.

### Signature
`pub fn new(filter_type: FilterType, cutoff: f64, q: f64, sample_rate: f64, gain: Option<f64>) -> Result<Self, EEGError>`

### Parameters
- **filter_type** (FilterType) - Required - The type of filter to configure.
- **cutoff** (f64) - Required - The cutoff frequency for the filter.
- **q** (f64) - Required - The Q factor of the filter.
- **sample_rate** (f64) - Required - The sampling rate of the signal.
- **gain** (Option<f64>) - Optional - The gain in dB, required for Peak filters.

### Errors
- Returns an error if the sampling rate or Q factor are not positive.
- Returns an error if the cutoff frequency is not below the Nyquist limit.
- Returns an error if gain is not provided for Peak filters.
```

--------------------------------

### compute_psd function signature

Source: https://docs.rs/rustneuro/0.2.21/rustneuro/spectral/fn.compute_psd.html

The function signature for computing power spectral density using Welch's method.

```rust
pub fn compute_psd(
    signal: &[f64],
    sampling_rate: f64,
    segment_length: usize,
    overlap: f64,
    window_type: WindowType,
) -> Result<PsdResult, EEGError>
```

--------------------------------

### Define ArtifactDetectionParams Struct

Source: https://docs.rs/rustneuro/0.2.21/rustneuro/artifacts/struct.ArtifactDetectionParams.html

The structure definition for artifact detection configuration.

```rust
pub struct ArtifactDetectionParams {
    pub amplitude_threshold: f64,
    pub gradient_threshold: Option<f64>,
    pub window_size: usize,
    pub min_artifact_duration: usize,
}
```

--------------------------------

### Define EventMarker Struct

Source: https://docs.rs/rustneuro/0.2.21/rustneuro/data/struct.EventMarker.html

The structure definition for EventMarker, containing a time field as a 64-bit float and a label as a String.

```rust
pub struct EventMarker {
    pub time: f64,
    pub label: String,
}
```

--------------------------------

### ArtifactDetectionParams::new

Source: https://docs.rs/rustneuro/0.2.21/rustneuro/artifacts/struct.ArtifactDetectionParams.html

Creates a new instance of ArtifactDetectionParams with validation.

```APIDOC
## ArtifactDetectionParams::new

### Description
Creates new artifact detection parameters with validation.

### Signature
`pub fn new(amplitude_threshold: f64, gradient_threshold: Option<f64>, window_size: usize, min_artifact_duration: usize) -> Result<Self, EEGError>`

### Parameters
- **amplitude_threshold** (f64) - Threshold for detecting amplitude artifacts (in microvolts)
- **gradient_threshold** (Option<f64>) - Optional threshold for detecting gradient artifacts (in microvolts/sample)
- **window_size** (usize) - Window size for moving averages (in samples)
- **min_artifact_duration** (usize) - Minimum duration to consider as an artifact (in samples)

### Returns
- **Result<Self, EEGError>** - Validated artifact detection parameters or an error if parameters are invalid.
```

--------------------------------

### Load EEG data from CSV

Source: https://docs.rs/rustneuro/0.2.21/rustneuro/io/fn.load_csv.html

Basic usage of load_csv to import data from a file with a specified sampling rate and header configuration.

```rust
use rustneuro::io::load_csv;
let data = load_csv("test.csv", 256.0, None, None, true)
    .expect("Failed to load CSV");
// Assuming the CSV has 8 channels if no time or event columns are provided.
assert_eq!(data.channels.len(), 8);
```

--------------------------------

### compute_psd_for_all_channels function signature

Source: https://docs.rs/rustneuro/0.2.21/rustneuro/spectral/fn.compute_psd_for_all_channels.html

The function signature for computing PSD across all EEG channels.

```rust
pub fn compute_psd_for_all_channels(
    eeg_data: &EEGData,
    segment_length: usize,
    overlap: f64,
    window_type: WindowType,
) -> Result<Vec<(String, PsdResult)>, EEGError>
```

--------------------------------

### compute_psd

Source: https://docs.rs/rustneuro/0.2.21/rustneuro/spectral/index.html

Computes the power spectral density of a signal using Welch’s method.

```APIDOC
## compute_psd

### Description
Computes the power spectral density of a signal using Welch’s method.

### Signature
`pub fn compute_psd(signal: &[f64], fs: f64) -> PsdResult`
```

--------------------------------

### pub fn apply_filter

Source: https://docs.rs/rustneuro/0.2.21/rustneuro/filter/fn.apply_filter.html

Applies the specified filter to a single-channel input signal.

```APIDOC
## Function: apply_filter

### Description
Applies the specified filter to a single-channel input signal.

### Signature
`pub fn apply_filter(input: &[f64], config: &FilterConfig) -> Result<Vec<f64>, EEGError>`

### Parameters
- **input** (&[f64]) - Required - Slice of f64 representing the raw signal.
- **config** (&FilterConfig) - Required - Filter configuration parameters.

### Returns
- **Result<Vec<f64>, EEGError>** - A vector of f64 containing the filtered signal or an EEGError if the operation fails.

### Example
```rust
let sample_rate = 256.0;
let freq = 10.0;
let duration = 1.0;
let num_samples = (duration * sample_rate) as usize;
let input: Vec<f64> = (0..num_samples)
    .map(|i| (2.0 * std::f64::consts::PI * freq * i as f64 / sample_rate).sin())
    .collect();

let config = FilterConfig::new(FilterType::LowPass, 15.0, 0.707, sample_rate, None)
    .expect("Failed to create filter configuration");

let output = apply_filter(&input, &config).expect("Filtering failed");

assert_eq!(output.len(), input.len());
```
```

--------------------------------

### apply_filter

Source: https://docs.rs/rustneuro/0.2.21/rustneuro/filter/index.html

Applies a specified filter to a single-channel input signal.

```APIDOC
## apply_filter

### Description
Applies the specified filter to a single-channel input signal.

### Signature
`pub fn apply_filter(signal: &[f64], config: &FilterConfig) -> Vec<f64>`
```

--------------------------------

### detect_artifacts

Source: https://docs.rs/rustneuro/0.2.21/rustneuro/artifacts/index.html

Detects artifacts in EEG data based on amplitude and gradient thresholds.

```APIDOC
## detect_artifacts

### Description
Detects artifacts in EEG data based on amplitude and gradient thresholds.

### Signature
`pub fn detect_artifacts(data: &[f64], params: &ArtifactDetectionParams) -> Vec<ArtifactSegment>`
```

--------------------------------

### WindowType Enum Definition

Source: https://docs.rs/rustneuro/0.2.21/rustneuro/spectral/enum.WindowType.html

The definition of the WindowType enum, specifying the available windowing functions and their parameters.

```rust
pub enum WindowType {
    Rectangular,
    Hann,
    Hamming,
    Blackman,
    Tukey(f64),
}
```

--------------------------------

### Define ArtifactSegment struct

Source: https://docs.rs/rustneuro/0.2.21/rustneuro/artifacts/struct.ArtifactSegment.html

The core data structure representing a detected artifact segment.

```rust
pub struct ArtifactSegment {
    pub channel_index: usize,
    pub channel_name: String,
    pub start_index: usize,
    pub end_index: usize,
    pub reason: String,
}
```

--------------------------------

### detect_artifacts function signature

Source: https://docs.rs/rustneuro/0.2.21/rustneuro/artifacts/fn.detect_artifacts.html

The function signature for detecting artifacts in EEG data, requiring EEGData and ArtifactDetectionParams.

```rust
pub fn detect_artifacts(
    eeg_data: &EEGData,
    params: &ArtifactDetectionParams,
) -> Result<Vec<ArtifactSegment>, EEGError>
```

--------------------------------

### EEGBands Struct Definition

Source: https://docs.rs/rustneuro/0.2.21/rustneuro/spectral/struct.EEGBands.html

Defines the structure for storing power values in standard EEG frequency bands.

```rust
pub struct EEGBands {
    pub delta: f64,
    pub theta: f64,
    pub alpha: f64,
    pub beta: f64,
    pub gamma: f64,
}
```

--------------------------------

### EEGData Struct Definition

Source: https://docs.rs/rustneuro/0.2.21/rustneuro/data/struct.EEGData.html

The structure definition for EEGData, containing fields for timestamps, channels, events, and sampling rate.

```rust
pub struct EEGData {
    pub timestamps: Option<Vec<f64>>,
    pub channels: Vec<EEGChannel>,
    pub events: Option<Vec<EventMarker>>,
    pub sampling_rate: f64,
}
```

--------------------------------

### get_power_at_frequency

Source: https://docs.rs/rustneuro/0.2.21/rustneuro/spectral/struct.PsdResult.html

Returns the power value at the specified frequency.

```APIDOC
### pub fn get_power_at_frequency(&self, freq: f64) -> f64

Returns the power at the specified frequency.
```

--------------------------------

### apply_filter_to_all_channels

Source: https://docs.rs/rustneuro/0.2.21/rustneuro/filter/index.html

Applies the filter specified by config to all channels in the provided EEGData.

```APIDOC
## apply_filter_to_all_channels

### Description
Applies the filter specified by `config` to all channels in the provided EEGData, returning a new EEGData with filtered signals.

### Signature
`pub fn apply_filter_to_all_channels(data: &EEGData, config: &FilterConfig) -> EEGData`
```

--------------------------------

### compute_psd_for_all_channels

Source: https://docs.rs/rustneuro/0.2.21/rustneuro/spectral/index.html

Computes the power spectral density for all channels within an EEGData structure.

```APIDOC
## compute_psd_for_all_channels

### Description
Computes the power spectral density for all channels in an EEGData struct.

### Signature
`pub fn compute_psd_for_all_channels(data: &EEGData) -> Vec<PsdResult>`
```

--------------------------------

### compute_coherence

Source: https://docs.rs/rustneuro/0.2.21/rustneuro/spectral/index.html

Computes the coherence between two input signals.

```APIDOC
## compute_coherence

### Description
Computes coherence between two signals.

### Signature
`pub fn compute_coherence(signal_a: &[f64], signal_b: &[f64]) -> Vec<f64>`
```

--------------------------------

### get_band_power

Source: https://docs.rs/rustneuro/0.2.21/rustneuro/spectral/struct.PsdResult.html

Calculates the total power within a specified frequency band.

```APIDOC
### pub fn get_band_power(&self, low_freq: f64, high_freq: f64) -> f64

Returns the total power in the specified frequency band.
```

--------------------------------

### get_eeg_bands

Source: https://docs.rs/rustneuro/0.2.21/rustneuro/spectral/struct.PsdResult.html

Retrieves common EEG band powers from the PSD result.

```APIDOC
### pub fn get_eeg_bands(&self) -> EEGBands

Returns common EEG band powers.
```

--------------------------------

### remove_artifacts function signature

Source: https://docs.rs/rustneuro/0.2.21/rustneuro/artifacts/fn.remove_artifacts.html

The function signature for removing artifacts from EEG data, requiring the input data, artifact segments, and an interpolation method.

```rust
pub fn remove_artifacts(
    eeg_data: &EEGData,
    artifacts: &[ArtifactSegment],
    interpolation_method: InterpolationMethod,
) -> Result<EEGData, EEGError>
```

--------------------------------

### Define EEGChannel struct

Source: https://docs.rs/rustneuro/0.2.21/rustneuro/data/struct.EEGChannel.html

The structure definition for an EEG channel, containing the channel name and its associated time-series data.

```rust
pub struct EEGChannel {
    pub name: String,
    pub data: Vec<f64>,
}
```

--------------------------------

### compute_coherence function signature

Source: https://docs.rs/rustneuro/0.2.21/rustneuro/spectral/fn.compute_coherence.html

The function signature for computing coherence between two signals, requiring sampling rate, segment length, overlap, and window type.

```rust
pub fn compute_coherence(
    signal1: &[f64],
    signal2: &[f64],
    sampling_rate: f64,
    segment_length: usize,
    overlap: f64,
    window_type: WindowType,
) -> Result<PsdResult, EEGError>
```

--------------------------------

### InterpolationMethod Enum Definition

Source: https://docs.rs/rustneuro/0.2.21/rustneuro/artifacts/enum.InterpolationMethod.html

Defines the available methods for interpolating artifact segments in the rustneuro library.

```rust
pub enum InterpolationMethod {
    Linear,
    Constant(f64),
    PreviousValue,
    Mean,
}
```

--------------------------------

### get_frequency_index

Source: https://docs.rs/rustneuro/0.2.21/rustneuro/spectral/struct.PsdResult.html

Returns the index corresponding to the closest frequency in the PSD result.

```APIDOC
### pub fn get_frequency_index(&self, freq: f64) -> usize

Returns the index corresponding to the closest frequency.
```

--------------------------------

### remove_artifacts

Source: https://docs.rs/rustneuro/0.2.21/rustneuro/artifacts/fn.remove_artifacts.html

Removes artifacts from EEG data by replacing them with interpolated values.

```APIDOC
## Function: remove_artifacts

### Description
Removes artifacts from EEG data by replacing them with interpolated values.

### Signature
`pub fn remove_artifacts(eeg_data: &EEGData, artifacts: &[ArtifactSegment], interpolation_method: InterpolationMethod) -> Result<EEGData, EEGError>`

### Parameters
- **eeg_data** (&EEGData) - The EEG data to process
- **artifacts** (&[ArtifactSegment]) - Detected artifact segments
- **interpolation_method** (InterpolationMethod) - Method to use for interpolation

### Returns
- **Result<EEGData, EEGError>** - A new EEGData with artifacts removed/interpolated, or an error if interpolation fails.
```

--------------------------------

### remove_artifacts

Source: https://docs.rs/rustneuro/0.2.21/rustneuro/artifacts/index.html

Removes artifacts from EEG data by replacing them with interpolated values.

```APIDOC
## remove_artifacts

### Description
Removes artifacts from EEG data by replacing them with interpolated values.

### Signature
`pub fn remove_artifacts(data: &mut [f64], segments: &[ArtifactSegment], method: InterpolationMethod)`
```

--------------------------------

### Define EEGError Enum

Source: https://docs.rs/rustneuro/0.2.21/rustneuro/errors/enum.EEGError.html

The structure of the EEGError enum, which categorizes different types of errors encountered during processing.

```rust
pub enum EEGError {
    Io(String),
    Csv(Error),
    Parse(String),
    Validation(String),
    Filter(String),
}
```

--------------------------------

### Define FilterType Enum

Source: https://docs.rs/rustneuro/0.2.21/rustneuro/filter/enum.FilterType.html

The FilterType enum structure used to specify the type of filter to be applied.

```rust
pub enum FilterType {
    LowPass,
    HighPass,
    BandPass,
    Notch,
    BandStop,
    Peak,
}
```

=== COMPLETE CONTENT === This response contains all available snippets from this library. No additional content exists. Do not make further requests.