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2018 | OriginalPaper | Chapter

A Review of Health Monitoring Systems Using Sensors on Bed or Cushion

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Authors: Massimo Conti, Simone Orcioni, Natividad Martínez Madrid, Maksym Gaiduk, Ralf Seepold

Publisher: Springer International Publishing

Published in: Bioinformatics and Biomedical Engineering

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Abstract

How technology can answer the challenge that currently population ageing is facing to the healthcare system? In this work, systems and devices related to “smart” bed and cushion, that are commercially available or matter of research works, are reviewed.

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European Commission: Population ageing in Europe, Facts, implications and policies, Luxembourg: Publications Office of the European Union (2014)

European Union (EU): People in the EU – Population Projections, June 2015. http://ec.europa.eu/eurostat/statistics-explained/

European Pressure Ulcer Advisory Panel. http://www.epuap.org/pu-guidelines/

Novel. http://www.novel.de/novelcontent/pliance/wheelchair

Tekscan. https://www.tekscan.com/

Pressure Profile. https://pressureprofile.com/

Texisense. http://www.texisense.com/capteur_en

Sensors Products. http://www.sensorprod.com/dynamic/mattress.php

Emfit. http://www.safetysystemsdistribution.co.uk/bed-exit-alarms/

10.

Emfit. https://www.emfitqs.com/

11.

Murata. https://www.murata.com/

12.

EarlySense. https://www.earlysense.com/

13.

Xu, W., Huang, M., Amini, N., He, L., Sarrafzadeh, M.: eCushion: a textile pressure sensor array design and calibration for sitting posture analysis. IEEE Sens. J. 13(10), 3926–3934 (2013) CrossRef

14.

Shu, L., Tao, X., Feng, D.D.: A new approach for readout of resistive sensor arrays for wearable electronic applications. IEEE Sens. J. 15(1), 442–452 (2015) CrossRef

15.

Yang, L., Ge, Y., Li, W., Rao, W., Shen, W.: A home mobile healthcare system for wheelchair users. In: Proceedings of IEEE 18th International Conference on Computer Supported Cooperative Work in Design (CSCWD), pp. 609–614 (2014)

16.

Arias, S., Cardiel, E., Garay, L., Tovar, B., Pla, M., Rogeli, P.: A pressure distribution measurement system for supporting areas of wheelchair users. In: 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), pp. 4751–4754 (2013)

17.

Xu, L., Chen, G., Wang, J., Shen, R., Zhao, S., A sensing cushion using simple pressure distribution sensors. In: IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI), pp. 451–456 (2012)

18.

Chugo, D., Fujita, K., Sakaida, Y., Yokota, S., Hashimoto, H.: A depressurization motion assistance for a seated wheelchair user using pressure distribution estimation. In: 5th International Conference on Human System Interactions, pp. 75–80 (2012)

19.

Dai, R., Sonenblum, S.E., Sprigle, S.: A robust wheelchair pressure relief monitoring system. In: Annual International Conference of IEEE Engineering in Medicine and Biology Society, pp. 6107–6110 (2012)

20.

Liang, G., Cao, J., Liu, X.: Smart cushion: a practical system for fine-grained sitting posture recognition. In: IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops), pp. 419–424 (2017)

21.

Russell, L., Goubran, R., Kwamena, F.: Posture sensing using a low-cost temperature sensor array. In: IEEE International Symposium on Medical Measurements and Applications (MeMeA), pp. 443–447 (2017)

22.

Khan, A., Reuter, M., Phung, N., Hafeez, S.: Wireless solution to prevent decubitus ulcers: preventive weight shifting guide, monitor, and tracker app for wheel chair users with spinal cord injuries (phase II). In: IEEE 18th International Conference on e-Health Networking, Applications and Services (Healthcom), pp. 1–6 (2016)

23.

Ahn, B., Kim, T., Sain, M., Jeong, D.: Implemented of posture discriminate system through the seat weight distribution. In: IEEE Conf. on Wireless Sensors (ICWiSe), pp. 24–27 (2015)

24.

Sazonov, E., Abele, R., Gerrity, A., May, P., Spradling, K., Kennamore, T., Chen, Y., Klebine, P.: Development of wheelchair cushion pressure monitoring system. In: IEEE International Symposium on Medical Measurements and Applications (MeMeA), pp. 1–5 (2014)

25.

Arias, S., Cardiel, E., Rogeli, P., Mori, T., Nakagami, G., Noguchi, H., Sanada, H.: An alternating pressure sequence proposal for an air-cell cushion for preventing pressure ulcers. In: Proceedings of Conference on IEEE Engineering in Medicine and Biology Society, pp. 3480–3483 (2014)

26.

Kurihara, Y., Watanabe, K.: Suppression of artifacts in biomeasurement system by pneumatic filtering. IEEE Sens. J. 12(3), 416–422 (2012) CrossRef

27.

Bao, J., Shou, X., Wang, H., Yang, H.: Study on heartbeat information acquired from pressure cushion based on body sensor network. In: IEEE International Conference on Green Computing and Communications and IEEE Internet of Things and IEEE Cyber, Physical and Social Computing, pp. 1103–1108 (2013)

28.

Watanabe, K., Watanabe, T., Watanabe, H., Ando, H., Ishikawa, T., Kobayashi, K.: Noninvasive measurement of heartbeat, respiration, snoring and body movements of a subject in bed via a pneumatic method. IEEE Trans. Biomed. Eng. 52(12), 2100–2107 (2005) CrossRef

29.

Tanaka, S., Matsumoto, Y., Wakimoto, K.: Unconstrained and non-invasive measurement of heart-beat and respiration periods using a phonocardiographic sensor. Med. Biomed. Eng. Comput. 40(2), 246–252 (2002) CrossRef

30.

Gaiduk, M., Kuhn, I., Seepold, R., Ortega, J.A., Madrid, N.M.: A sensor grid for pressure and movement detection supporting sleep phase analysis. In: Rojas, I., Ortuño, F. (eds.) IWBBIO 2017. LNCS, vol. 10209, pp. 596–607. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-56154-7_53 CrossRef

31.

Baran Pouyan, M., Nourani, M., Pompeo, M.: Sleep state classification using pressure sensor mats. In: 37th Annual International Conference of IEEE Engineering in Medicine and Biology Society (EMBC), 26 August 2015, pp. 1207–1210 (2015). ISSN 1094-687X

32.

Long, X., Fonseca, P., Foussier, J., Haakma, R., Aarts, R.: Sleep and wake classification with actigraphy and respiratory effort using dynamic warping. IEEE J. Biomed. Health Inf. 18, 1272–1284 (2013) CrossRef

33.

Karlen, W., Mattiussi, C., Floreano, D.: Sleep and wake classification with ecg and respiratory effort signals. IEEE Trans. Biomed. Circuits Syst. 3(2), 71–78 (2009) CrossRef

34.

Lewicke, A., Sazonov, E., Corwin, M.J., Neuman, M., Schuckers, S.: Sleep versus wake classification from heart rate variability using computational intelligence: consideration of rejection in classification models. IEEE Trans. Biomed. Eng. 55(1), 108–118 (2008) CrossRef

35.

Lotjonen, J., Korhonen, I., Hirvonen, K., Eskelinen, S., Myllymaki, M., Partinen, M.: Automatic sleep-wake and nap analysis with a new wrist worn online activity monitoring device vivago WristCare. Sleep 26(1), 86–90 (2003)

Title

A Review of Health Monitoring Systems Using Sensors on Bed or Cushion

Book

Bioinformatics and Biomedical Engineering

Print ISBN: 978-3-319-78758-9

Electronic ISBN: 978-3-319-78759-6

https://doi.org/10.1007/978-3-319-78759-6

DOI

https://doi.org/10.1007/978-3-319-78759-6_32

Authors:

Massimo Conti
Simone Orcioni
Natividad Martínez Madrid
Maksym Gaiduk
Ralf Seepold

Publisher

Springer International Publishing

Sequence number

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