Signal Quality Assessment in Physiological Monitor. Este artículo no está disponible.
Idioma: inglés
Editorial: Springer, 2017
- Tapa blanda
- Nuevo

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N° de ref. del artículo POD-241949
- Título
- Signal Quality Assessment in Physiological Monitor
- Autor
- Orphanidou, Christina
- Editorial
- Springer
- Año de publicación
- 2017
- Estado
- Brand New
- Encuadernación
- Encuadernación de tapa blanda
- Idioma
- inglés
- ISBN 10
- 3319684140
- ISBN 13
- 9783319684147
- Serie
- Libro 10 de 13: SpringerBriefs in Bioengineering
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.
“Sinopsis” puede pertenecer a otra edición de este título.
Reseña del editor
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.
“Acerca de” puede pertenecer a otra edición de este título.