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A Sensor Grid for Pressure and Movement Detection Supporting Sleep Phase Analysis

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Bioinformatics and Biomedical Engineering (IWBBIO 2017)

Part of the book series: Lecture Notes in Computer Science ((LNBI,volume 10209))

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Abstract

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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Acknowledgement

The project is partly supported by the International University of Lake Constance (IBH). The IBH is a network of 30 universities and colleges located in Austria, Germany, the Principality of Liechtenstein and Switzerland. The IBH budget arises partly from funding of the International Lake Constance conference (IBK) and Interreg ABH. Interreg ABH is financed by the European Regional Development Fund (ERDF) and funding from the Swiss New Regional Policy (NRP) framework.

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Authors and Affiliations

  1. HTWG Konstanz, Brauneggerstr. 55, 78462, Konstanz, Germany

    Maksym Gaiduk, Ina Kuhn & Ralf Seepold

  2. Universidad de Sevilla, Avda. Reina Mercedes s/n, 41012, Seville, Spain

    Juan Antonio Ortega

  3. Hochschule Reutlingen, Alteburgstraße 150, 72762, Reutlingen, Germany

    Natividad Martínez Madrid

Authors
  1. Maksym Gaiduk
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  2. Ina Kuhn
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  3. Ralf Seepold
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  4. Juan Antonio Ortega
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  5. Natividad Martínez Madrid
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Corresponding author

Correspondence to Maksym Gaiduk .

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Editors and Affiliations

  1. Universidad de Granada, Granada, Spain

    Ignacio Rojas

  2. Universidad de Granada, Granada, Spain

    Francisco Ortuño

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Gaiduk, M., Kuhn, I., Seepold, R., Ortega, J.A., Madrid, N.M. (2017). A Sensor Grid for Pressure and Movement Detection Supporting Sleep Phase Analysis. In: Rojas, I., Ortuño, F. (eds) Bioinformatics and Biomedical Engineering. IWBBIO 2017. Lecture Notes in Computer Science(), vol 10209. Springer, Cham. https://doi.org/10.1007/978-3-319-56154-7_53

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  • DOI: https://doi.org/10.1007/978-3-319-56154-7_53

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-56153-0

  • Online ISBN: 978-3-319-56154-7

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