data_processing

Generic signal and index manipulation — consecutive runs, chunk detection, interval arithmetic.

Part of the Prerau Lab preraulab_utilities meta-repository. Can also be used standalone.

When to use which

Task	Use
Group contiguous true / equal runs in a vector	consecutive_runs
Find the index of the nearest value	findclosest
Detect chunks (valid vs NaN / flat stretches)	get_chunks
Intersect two sets of time intervals	interval_intersect
Rolling percentile filter	percentile_filt
Slice a signal by a list of [start end] intervals	pick_from_time_segments

Examples

% Find runs of artifact samples
art = detect_artifacts(data, Fs);
[n_runs, idx_cell] = consecutive_runs(art);
for k = 1:n_runs
    this_run = idx_cell{k};   % indices for run #k
end

% Nearest-neighbor index
i = findclosest(t, 125.7);

% Rolling 95th-percentile filter, window = 5 s at Fs = 200
y = percentile_filt(x, 5*200, 95);

Function list

consecutive_runs, findclosest, get_chunks, interval_intersect, percentile_filt, pick_from_time_segments

See help <function> at the MATLAB prompt for the full docstring of each.

Install

addpath('/path/to/data_processing');

Dependencies

MATLAB R2020a+. No required toolboxes.

License

BSD 3-Clause. See LICENSE.