ISO-690 (author-date, English)

CHEN K, DENG M, HUANG D, LIANG D, WANG Y und HUANG X, 2025. Early detection of paroxysmal atrial fibrillation from non-episodic ECG data using cardiac dynamics features and different classification models. Biomedical physics & engineering express. 24 Dezember 2025. Vol. 12, no. 1, . DOI 10.1088/2057-1976/ae2 b76.

Elsevier - Harvard (with titles)

Chen K, Deng M, Huang D, Liang D, Wang Y, Huang X, 2025. Early detection of paroxysmal atrial fibrillation from non-episodic ECG data using cardiac dynamics features and different classification models. Biomedical physics & engineering express 12. https://doi.org/10.1088/2057-1976/ae2 b76

American Psychological Association 7th edition

Chen K, Deng M, Huang D, Liang D, Wang Y, & Huang X. (2025). Early detection of paroxysmal atrial fibrillation from non-episodic ECG data using cardiac dynamics features and different classification models. Biomedical Physics & Engineering Express, 12(1). https://doi.org/10.1088/2057-1976/ae2 b76

Springer - Basic (author-date)

Chen K, Deng M, Huang D, Liang D, Wang Y, Huang X (2025) Early detection of paroxysmal atrial fibrillation from non-episodic ECG data using cardiac dynamics features and different classification models.. Biomedical physics & engineering express 12. https://doi.org/10.1088/2057-1976/ae2 b76

Juristische Zitierweise (Stüber) (Deutsch)

Chen K/ Deng M/ Huang D/ Liang D/ Wang Y/ Huang X, Early detection of paroxysmal atrial fibrillation from non-episodic ECG data using cardiac dynamics features and different classification models., Biomedical physics & engineering express 2025.

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