{"ID":2858954,"CreatedAt":"2026-06-01T04:54:23.091178241Z","UpdatedAt":"2026-06-01T04:54:23.091178241Z","DeletedAt":null,"paper_url":"https://arxiv.org/abs/2510.07415","arxiv_id":"2510.07415","title":"Autoencoding Coordinate Sequences from Psychophysiologic Signals","abstract":"We present a method for converting 24 channels of psychophysiologic time series data collected from individual participants via electroencephalogram (EEG), electrocardiogram (ECG), electrodermal activity (EDA), respiration rate (RR) into trackable three dimensional (3D) coordinates sufficient to estimate participation in specific task and cognitive states.","short_abstract":"We present a method for converting 24 channels of psychophysiologic time series data collected from individual participants via electroencephalogram (EEG), electrocardiogram (ECG), electrodermal activity (EDA), respiration rate (RR) into trackable three dimensional (3D) coordinates sufficient to estimate participation...","url_abs":"https://arxiv.org/abs/2510.07415","url_pdf":"https://arxiv.org/pdf/2510.07415v1","authors":"[\"Timothy L. Hutcheson\",\"Anil K. Raj\"]","published":"2025-10-08T18:13:37Z","proceeding":"eess.SP","tasks":"[\"eess.SP\",\"q-bio.NC\"]","methods":"[]","has_code":false}