用于移动应用的光电容积脉搏波描记术中的自适应脉搏分割与伪迹检测
Adaptive pulse segmentation and artifact detection in photoplethysmography for mobile applications.
作者信息
Karlen Walter, Ansermino J Mark, Dumont Guy
机构信息
Electrical & Computer Engineering in Medicine Group, Departments of Electrical & Computer Engineering and Anesthesiology, Pharmacology & Therapeutics, The University of British Columbia (UBC), 2332 Main Mall, Vancouver, BC, V6T 1Z4, Canada.
出版信息
Annu Int Conf IEEE Eng Med Biol Soc. 2012;2012:3131-4. doi: 10.1109/EMBC.2012.6346628.
PMID:23366589
Abstract
Pulse oximeters non-invasively measure heart rate and oxygen saturation and have great potential for predicting critical illness. The photoplethysmogram (PPG) recorded from pulse oximetry is often corrupted with artifacts. These artifacts render the derived vital signs inaccurate.
摘要
脉搏血氧仪可无创测量心率和血氧饱和度，在预测危重病方面具有巨大潜力。从脉搏血氧测定法记录的光电容积脉搏波图（PPG）常常会受到伪迹的干扰。这些伪迹会使得出的生命体征不准确。
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