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A sensor grid for pressure and movement detection supporting sleep phase analysis

  • Sleep quality and in general, behavior in bed can be detected using a sleep state analysis. These results can help a subject to regulate sleep and recognize different sleeping disorders. In this work, a sensor grid for pressure and movement detection supporting sleep phase analysis is proposed. In comparison to the leading standard measuring system, which is Polysomnography (PSG), the system proposed in this project is a non invasive sleep monitoring device. For continuous analysis or home use, the PSG or wearable actigraphy devices tends to be uncomfortable. Besides this fact, they are also very expensive. The system represented in this work classifies respiration and body movement with only one type of sensor and also in a non invasive way. The sensor used is a pressure sensor. This sensor is low cost and can be used for commercial proposes. The system was tested by carrying out an experiment that recorded the sleep process of a subject. These recordings showed the potential for classification of breathing rate and body movements. Although previous researches show the use of pressure sensors in recognizing posture and breathing, they have been mostly used by positioning the sensors between the mattress and bedsheet. This project however, shows an innovative way to position the sensors under the mattress.

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Metadaten
Name:Martínez Madrid, Natividad
DOI:https://doi.org/10.1007/978-3-319-56154-7_53
ISBN:978-3-319-56154-7
Erschienen in:Bioinformatics and biomedical engineering : 5th International Work-Conference, IWBBIO 2017, Granada, Spain, April 26-28, 2017, proceedings. - Part II. - (Lecture notes in computer science ; 10209)
Publisher:Springer
Place of publication:Cham
Editor:Ignacio Rojas
Document Type:Conference Proceeding
Language:English
Year of Publication:2017
Tag:force resistor sensor; movement detection; sensor grid; sleep phase
Pagenumber:12
First Page:596
Last Page:607
Catalogue entry:Im Katalog der Hochschule Reutlingen ansehen
Dewey Decimal Classification:570 Biowissenschaften, Biologie
Open Access:Nein
Licence (German):License Logo  Lizenzbedingungen Springer