A novel method for analysis of transient morphological changes in quasiperiodic physiological signals and their neurogenic correlates

[2602.19264] A novel method for analysis of transient morphological changes in quasiperiodic physiological signals and their neurogenic correlates Skip to main content Search Submit Donate Log in Physics > Medical Physics arXiv:2602.19264 (physics) [Submitted on 22 Feb 2026 ( v1 ), last revised 14 Aug 2026 (this version, v2)] Title: A novel method for analysis of transient morphological changes in quasiperiodic physiological signals and their neurogenic correlates Authors: Tomasz Gradowski , Damian Waląg , Tomir Domański , Teodor Buchner View PDF HTML (experimental) Abstract: Conventional ECG visualization and analysis methods typically emphasize either waveform morphology or rhythm variability. This work presents a visualization framework for quasiperiodic physiological signals that enables simultaneous assessment of beat-to-beat morphological changes and rhythm dynamics in a single representation. The proposed method converts quasiperiodic signals into two-dimensional carpet plots. Characteristic events (e.g., ECG R peaks) are used to align consecutive signal segments, which are transformed into color-coded rows and stacked in chronological order. The resulting image preserves both the temporal evolution of signal morphology and variations in cycle duration. The method was evaluated using ECG recordings from multiple publicly available databases containing healthy subjects and patients with diverse cardiac abnormalities, as well as synchronized multimodal physiological recordings. Carpet plots enabled rapid visualization of transient morphological changes alongside heart rate dynamics across recordings ranging from several minutes to hours. The representation highlighted clinically relevant phenomena, including ST segment alterations, QT interval variability, changes in T wave morphology, atrial fibrillation episodes, premature ventricular complexes, Wenckebach periodicity, and stress-test phase transitions. The image-based representation was also shown to be suitable for automated analysis using convolutional neural network feature extraction. Carpet plots provide a compact representation of quasiperiodic physiological signals, jointly visualizing rhythm and morphology across long-term recordings. The proposed framework facilitates both expert interpretation and image-based computational analysis, offering a general approach for investigating transient physiological phenomena in ECG and other synchronized quasiperiodic signals. Comments: 31 pages, 7 figures Subjects: Medical Physics (physics.med-ph) Cite as: arXiv:2602.19264 [physics.med-ph] (or arXiv:2602.19264v2 [physics.med-ph] for this version) https://doi.org/10.48550/arXiv.2602.19264 Focus to learn more arXiv-issued DOI via DataCite Related DOI : https://doi.org/10.1016/j.cmpb.2026.109611 Focus to learn more DOI(s) linking to related resources Submission history From: Tomasz Gradowski [ view email ] [v1] Sun, 22 Feb 2026 16:26:53 UTC (4,750 KB) [v2] Fri, 14 Aug 2026 18:19:54 UTC (5,084 KB) Full-text links: Access Paper: View PDF HTML (experimental) TeX Source view license Current browse context: physics.med-ph < prev | next > new | recent | 2026-02 Change to browse by: physics References & Citations SciX Google Scholar Semantic Scholar export BibTeX citation Bookmark Bibliographic Tools Bibliographic and Citation Tools Bibliographic Explorer Toggle Bibliographic Explorer ( What is the Explorer? ) Connected Papers Toggle Connected Papers ( What is Connected Papers? ) Litmaps Toggle Litmaps ( What is Litmaps? ) scite.ai Toggle scite Smart Citations ( What are Smart Citations? ) Code, Data, Media Code, Data and Media Associated with this Article alphaXiv Toggle alphaXiv ( What is alphaXiv? ) Links to Code Toggle CatalyzeX Code Finder for Papers ( What is CatalyzeX? ) DagsHub Toggle DagsHub ( What is DagsHub? ) GotitPub Toggle Gotit.pub ( What is GotitPub? ) Huggingface Toggle Hugging Face ( What is Huggingface? ) ScienceCast Toggle ScienceCast ( What is ScienceCast? ) Demos Demos Replicate Toggle Replicate ( What is Replicate? ) Spaces Toggle Hugging Face Spaces ( What is Spaces? ) Spaces Toggle TXYZ.AI ( What is TXYZ.AI? ) Related Papers Recommenders and Search Tools Link to Influence Flower Influence Flower ( What are Influence Flowers? ) Core recommender toggle CORE Recommender ( What is CORE? ) Author Venue Institution Topic About arXivLabs arXivLabs: experimental projects with community collaborators arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. 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