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Updated: Jul 12, 2025

A Detailed Protocol for Physiological Parameters Acquisition and Analysis in Neurosurgical Critical Patients
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A Detailed Protocol for Physiological Parameters Acquisition and Analysis in Neurosurgical Critical Patients

Published on: October 17, 2017

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在手术重症监护病房持续呼吸速率估计的基于光电缩图的深度学习模型的评估

Chi Shin Hwang1, Yong Hwan Kim1, Jung Kyun Hyun1

  • 1Spass Inc., 905Ho, RnD Tower, 396, Worldcup Buk-ro, Mapo-gu, Seoul 03925, Republic of Korea.

Bioengineering (Basel, Switzerland)
|October 28, 2023
PubMed
概括

这项研究探讨了深度学习模型,用于估计使用光斑血图 (PPG) 信号的呼吸速率 (RR). 虽然具有挑战性,但Dilated ResNet模型显示出有希望的结果,表明改善RR监控的潜力.

关键词:
卷积神经网络是一种卷积神经网络.深度学习是一种深度学习.重症监护病房的重症监护病房是一个重症监护病房.摄影复合发电图谱 (Photoplethysmogram) 是一种摄影图谱.预测 预测 预测 预测剩余神经网络 剩余神经网络呼吸速率 呼吸速率 呼吸速率 呼吸速率信号的信号的信号的信号的信号.手术 手术 手术 手术 手术 手术 手术

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