[LSTM-XGBoost基于高血压患者的RR间隔时间序列预测方法]
Wenjie Yu1,2, Hongwen Chen1,2, Hongliang Qi2
1School of Biomedical Engineering, Southern Medical University, Guangzhou, 510515.
使用LSTM-XGBoost组合模型预测高血压患者的心率 (RR间隔) 比单个模型提高了准确性,为患者监测提供了潜在的临床益处.
科学领域:
- 心血管生理学心血管生理学
- 机器学习在医疗保健中的应用
- 生物医学信号处理
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相关概念视频
Assessment of blood pressure in brachial artery(two-step method)
Assessment of blood pressure in brachial artery(one-step method)
Prepare for the Procedure:
Pre-Procedural Guidelines for Assessing Blood Pressure
Pulse rhythm
Conversely, an irregular pulse pattern is termed dysrhythmia, stemming from disruptions in cardiac...
Special considerations while measuring blood pressure
Monitoring Both Arms:
Monitoring BP in both arms during the initial assessment is advisable, as the systolic value may differ by five to ten mm Hg between arms. For subsequent BP assessments, use the arm with the higher reading.
