Trim Signal

Module name: TrimSignal

Package: CEAMSModules 7.4.0

Version: 2.0.0

Overview

Trim a list of SignalModel objects and an events table to a target time window.

Inputs

Input	Format	Default	Description
signals	list[SignalModel]	—	Input signal segments to crop. Each element is expected to provide at least: samples, sample_rate, start_time, end_time, and duration.
events	pandas.DataFrame	—	Event annotations with at least start_sec and duration_sec columns.
start_sec	float | str	—	Absolute start time (in seconds) of the trimming window.
duration_sec	float | str	—	Duration (in seconds) of the trimming window.
reset_time	bool	True	If True, output signal/event times are shifted so trimmed data starts at 0. If False, absolute timeline is preserved.

Outputs

Output	Format	Description
signals	list[SignalModel]	Deep-copied and trimmed signals, with updated timing metadata.
events	pandas.DataFrame	Events overlapping the trimming window, clipped to boundaries and optionally time-shifted depending on reset_time.

Usage in a process

1. Open Dev Tools -> New process in Snooz.

2. In the Module Library, find Trim Signal under the Signal Processing category.

3. Drag the module onto the process canvas.

4. Connect the required inputs from upstream modules (or set values in the Settings tab).

5. Connect outputs to downstream modules as needed.

6. Double-click the module to configure parameters in the Settings tab.

7. Run the process and inspect results in the Results tab.

Note

For general guidance on building processes with modules, see Explore examples.