Signal quality assessment in physiological monitoring : state of the art and practical considerations
- 作者： Orphanidou, Christina, author.
- 其他作者：
- 其他題名：
- SpringerBriefs in bioengineering.
- 出版： Cham : Springer International Publishing :Imprint: Springer
- 叢書名： SpringerBriefs in bioengineering,
- 主題： Patient monitoring. , Signal processing--Digital techniques. , Engineering. , Signal, Image and Speech Processing. , Biomedical Engineering/Biotechnology. , Health Informatics. , Health Care Management.
- ISBN： 9783319684154 (electronic bk.) 、 9783319684147 (paper)
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FIND@SFXID:
CGU
- 資料類型: 電子書
- 內容註: 1.Introduction -- 2.Physiological Signals and Measurements -- 3.Quality Assessment of the Electrocardiogram -- 4.Quality Assessment of the Photoplethysmogram -- 5.Quality Assessment of the Arterial Blood Pressure Signal -- 6.Data fusion -- 7.Conclusion and Discussion.
- 摘要註: This book provides a comprehensive overview of the state of the art in signal quality assessment techniques for physiological signals, and chiefly focuses on ECG (electrocardiography) and PPG (photoplethysmography) signals obtained from wearable sensors in ambulatory clinical settings. It presents the techniques currently proposed by leading researchers, as well as examples using data from clinical trials on wearable sensors for inpatient and outpatient settings. In addition, the book assesses current approaches through a practical lens by discussing the implications of deploying the various proposed systems for clinical practices and health outcomes. As such, it will be of considerable interest to both graduate students and researchers working to develop personalized healthcare applications, as well as physiological sensor software and hardware developers.
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讀者標籤：
- 系統號： 005420172 | 機讀編目格式
館藏資訊
This book provides a comprehensive overview of the state of the art in signal quality assessment techniques for physiological signals, and chiefly focuses on ECG (electrocardiography) and PPG (photoplethysmography) signals obtained from wearable sensors in ambulatory clinical settings. It presents the techniques currently proposed by leading researchers, as well as examples using data from clinical trials on wearable sensors for inpatient and outpatient settings. In addition, the book assesses current approaches through a practical lens by discussing the implications of deploying the various proposed systems for clinical practices and health outcomes. As such, it will be of considerable interest to both graduate students and researchers working to develop personalized healthcare applications, as well as physiological sensor software and hardware developers.