ISO-690 (author-date, English)

DHAR R, HOSSEN MR, GAMAGE PT, SANDLER RH, RAVAL NY, MENTZ RJ und MANSY HA, 2025. AI-based approach for heart failure readmission prediction using SCG, ECG, and GSR signals. Physiological measurement. 4 November 2025. Vol. 46, no. 11, . DOI 10.1088/1361-6579/ae178 c.

Elsevier - Harvard (with titles)

Dhar R, Hossen MR, Gamage PT, Sandler RH, Raval NY, Mentz RJ, Mansy HA, 2025. AI-based approach for heart failure readmission prediction using SCG, ECG, and GSR signals. Physiological measurement 46. https://doi.org/10.1088/1361-6579/ae178 c

American Psychological Association 7th edition

Dhar R, Hossen MR, Gamage PT, Sandler RH, Raval NY, Mentz RJ, & Mansy HA. (2025). AI-based approach for heart failure readmission prediction using SCG, ECG, and GSR signals. Physiological Measurement, 46(11). https://doi.org/10.1088/1361-6579/ae178 c

Springer - Basic (author-date)

Dhar R, Hossen MR, Gamage PT, Sandler RH, Raval NY, Mentz RJ, Mansy HA (2025) AI-based approach for heart failure readmission prediction using SCG, ECG, and GSR signals.. Physiological measurement 46. https://doi.org/10.1088/1361-6579/ae178 c

Juristische Zitierweise (Stüber) (Deutsch)

Dhar R/ Hossen MR/ Gamage PT/ Sandler RH/ Raval NY/ Mentz RJ/ Mansy HA, AI-based approach for heart failure readmission prediction using SCG, ECG, and GSR signals., Physiological measurement 2025.

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