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Causal Inference for Hypertension Prediction With Wearable Electrocardiogram and Photoplethysmogram Signals: Feasibility Study

Ke Gong, Yifan Chen, Xinyue Song, Zhizhong Fu, Xiaorong Ding

JMIR Cardio 2025;9:e60238

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The Accuracy of Wrist-Worn Photoplethysmogram–Measured Heart and Respiratory Rates in Abdominal Surgery Patients: Observational Prospective Clinical Validation Study

Jonna A van der Stam, Eveline H J Mestrom, Jai Scheerhoorn, Fleur E N B Jacobs, Simon Nienhuijs, Arjen-Kars Boer, Natal A W van Riel, Helma M de Morree, Alberto G Bonomi, Volkher Scharnhorst, R Arthur Bouwman

JMIR Perioper Med 2023;6:e40474

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Vascular Aging Estimation Based on Artificial Neural Network Using Photoplethysmogram Waveform Decomposition: Retrospective Cohort Study

Junyung Park, Hangsik Shin

JMIR Med Inform 2022;10(3):e33439

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Novel Analgesic Index for Postoperative Pain Assessment Based on a Photoplethysmographic Spectrogram and Convolutional Neural Network: Observational Study

Byung-Moon Choi, Ji Yeon Yim, Hangsik Shin, Gyujeong Noh

J Med Internet Res 2021;23(2):e23920

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Derivation of Breathing Metrics From a Photoplethysmogram at Rest: Machine Learning Methodology

Joseph Prinable, Peter Jones, David Boland, Cindy Thamrin, Alistair McEwan

JMIR Mhealth Uhealth 2020;8(7):e13737

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In-Home Cardiovascular Monitoring System for Heart Failure: Comparative Study

Nicholas J Joseph Conn, Karl Q Schwarz, David A Borkholder

JMIR Mhealth Uhealth 2019;7(1):e12419

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