pub fn parse_dda_output(
content: &str,
column_stride: Option<usize>,
) -> Result<Vec<Vec<f64>>>Expand description
Parse DDA binary output and return as 2D matrix [channels × timepoints]
Based on dda-py _process_output: skip first 2 columns, take every Nth column, then transpose
§Arguments
content- Raw text output from run_DDA_AsciiEdf binarycolumn_stride- Optional stride for column extraction (default 4 for ST/CT/DE, use 2 for CD, use 1 for SY)
§Returns
Processed matrix in [channels/scales × timepoints] format