piel.analysis.signals.time.integration.extract_pulse_metrics

Functions

extract_peak_to_peak_metrics_after_split_pulses(...)

Extracts pulses from the full signal and computes peak-to-peak metrics.

Module Contents

extract_peak_to_peak_metrics_after_split_pulses(full_signal: piel.types.TimeSignalData, pre_pulse_time_s: float = 1e-09, post_pulse_time_s: float = 1e-09, noise_std_multiplier: float = 3.0, min_pulse_height: float | None = None, min_pulse_distance_s: float | None = None, data_time_signal_kwargs: dict | None = None, metrics_kwargs: dict | None = None) → piel.types.ScalarMetricCollection

Extracts pulses from the full signal and computes peak-to-peak metrics.

Parameters: - full_signal (TimeSignalData): The complete time signal data to be analyzed. - pre_pulse_time_s (float): Time in seconds before the pulse to include. - post_pulse_time_s (float): Time in seconds after the pulse to include. - noise_std_multiplier (float): Multiplier for noise standard deviation to detect pulses. - min_pulse_height (Optional[float]): Minimum height of a pulse to be considered. - min_pulse_distance_s (Optional[float]): Minimum distance in seconds between pulses. - data_time_signal_kwargs (Optional[dict]): Additional keyword arguments for pulse extraction. - metrics_kwargs (Optional[dict]): Additional keyword arguments for metric extraction.

Returns: - ScalarMetricCollection: Collection of extracted scalar metrics.