To clarify features of photoplethysmography in monitoring balanced anesthesia, compared with Cerebral State Index
Author:
Affiliation:
1. Department of Anesthesiology, Nanjing First Hospital, Nanjing Medical University, Nanjing, China (mainland)
Publisher
International Scientific Information, Inc.
Subject
General Medicine
Cited by 6 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Photoplethysmography temporal marker-based machine learning classifier for anesthesia drug detection;Medical & Biological Engineering & Computing;2022-09-05
2. Deep learning via ECG and PPG signals for prediction of depth of anesthesia;Biomedical Signal Processing and Control;2021-07
3. Effect of Laryngeal Mask Airway Insertion on Parameters Derived From Catacrotic Phase of Photoplethysmography Under Different Concentrations of Remifentanil;IEEE Journal of Translational Engineering in Health and Medicine;2020
4. Comparison of speckleplethysmographic (SPG) and photoplethysmographic (PPG) imaging by Monte Carlo simulations and in vivo measurements;Biomedical Optics Express;2018-08-15
5. The Effect of Tracheal Intubation-Induced Autonomic Response on Photoplethysmography;Anesthesiology Research and Practice;2017
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