Skip to main content

In-bed Posture and Night Wandering Monitoring Using Force-Sensing Resistors

  • Conference paper
  • First Online:
Image Analysis and Processing. ICIAP 2022 Workshops (ICIAP 2022)

Abstract

Overnight postural changes and surveillance are two important issues to provide assistance to older individuals particularly when there is reduced mobility and cognitive decline. This paper presents a preliminary analysis of a cost-effective monitoring system based on force sensing resistors, to provide assistance to caregivers and facilitate the prevention of falls and pressure ulcers. A prototype of the proposed solution is presented, and the preliminary tests and measurements obtained using a real setup in a nursing home are analysed. The solution based on force-sensing resistors seeks simplicity, reduced costs, unobtrusiveness and privacy preservation. The prototype consists of 3 force-sensing resistor strips installed under the mattress and microcontroller board with wireless connectivity, to record measurements, transfer data, perform local analysis and generate warning messages. The positioning of the sensors has been analysed during the test to achieve a successful identification of the most relevant in-bed postures. The proposed solution can also be employed to monitor daily activities and assess sleep quality in combination with other sensors such as inertial measuring units in wearable devices or cameras.

This research was funded by H2020 European Union program under grant agreement No. 857159 (SHAPES project), by the Spanish MCIN/ AEI /10.13039/501100011033 grant TALENT-BELIEF (PID2020-116417RB-C44) and by GoodBrother COST action 19121. We would like to acknowledge the support received by the staff team at the nursing home of El Salvador in Pedroche (Spain).

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 69.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 89.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Active and Healthy Living in the Digital World, European Commission. https://futurium.ec.europa.eu/en/active-and-healthy-living-digital-world. Accessed 6 Mar 2022

  2. The European Innovation Partnership on Active and Healthy Ageing (EIP on AHA), European Commission. https://digital-strategy.ec.europa.eu/en/policies/eip-aha. Accessed 6 Mar 2022

  3. Sun, X.H., Ma, T., Yao, S., et al.: Associations of sleep quality and sleep duration with frailty and pre-frailty in an elderly population Rugao longevity and ageing study. BMC Geriatr. 20, 9 (2020). https://doi.org/10.1186/s12877-019-1407-5

    Article  Google Scholar 

  4. Silva, A., Metrôlho, J., Ribeiro, F., Fidalgo, F., Santos, O., Dionisio, R.: A review of intelligent sensor-based systems for pressure ulcer prevention. Computers 11(1), 6 (2022). https://doi.org/10.3390/computers11010006

    Article  Google Scholar 

  5. Wai, A.P., et al.: Lying posture classification for pressure ulcer prevention. J. Healthcare Eng. 1, 217–238 (2010). https://doi.org/10.1260/2040-2295.1.2.217

    Article  Google Scholar 

  6. Caggiari, S., Worsley, P., Payan, Y., Bucki, M., Bader, D.: Biomechanical monitoring and machine learning for the detection of lying postures. Clin. Biomech. 80, 105181 (2020). https://doi.org/10.1016/j.clinbiomech.2020.105181

    Article  Google Scholar 

  7. Liu, S., Ostadabbas, S.: A vision-based system for in-bed posture tracking. In: 2017 IEEE International Conference on Computer Vision Workshops (ICCVW), pp. 1373–1382 (2017). https://doi.org/10.1109/ICCVW.2017.163

  8. Chang, M.-C., et al.: In-bed patient motion and pose analysis using depth videos for pressure ulcer prevention. In: 2017 IEEE International Conference on Image Processing (ICIP), pp. 4118–4122 (2017). https://doi.org/10.1109/ICIP.2017.8297057

  9. Monroy, E.B., Rodríguez, A.P., Estevez, M.E., Quero, J.M.: Fuzzy monitoring of in-bed postural changes for the prevention of pressure ulcers using inertial sensors attached to clothing. J. Biomed. Inf. 107, 103476 (2020). https://doi.org/10.1016/j.jbi.2020.103476

    Article  Google Scholar 

  10. Qidwai, U., Al-Sulaiti, S., Ahmed, G., Hegazy, A., Ilyas, S.K.: Intelligent integrated instrumentation platform for monitoring long-term bedridden patients. In: 2016 IEEE EMBS Conference on Biomedical Engineering and Sciences (IECBES), pp. 561–564 (2016). https://doi.org/10.1109/IECBES.2016.7843512

  11. Pouyan, M.B., Birjandtalab, J., Heydarzadeh, M., Nourani, M., Ostadabbas, S.: A pressure map dataset for posture and subject analytics. In: 2017 IEEE EMBS International Conference on Biomedical & Health Informatics (BHI), pp. 65–68 (2017). https://doi.org/10.1109/BHI.2017.7897206

  12. Dimitrievski, A., et al.: Towards detecting pneumonia progression in COVID-19 patients by monitoring sleep disturbance using data streams of non-invasive sensor networks. Sensors 21, 3030 (2021). https://doi.org/10.3390/s21093030

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Xavier del Toro García .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2022 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

del Toro García, X., Fernández-Bermejo, J., Llumiguano, H., Dorado, J., Bolaños, C., López, J.C. (2022). In-bed Posture and Night Wandering Monitoring Using Force-Sensing Resistors. In: Mazzeo, P.L., Frontoni, E., Sclaroff, S., Distante, C. (eds) Image Analysis and Processing. ICIAP 2022 Workshops. ICIAP 2022. Lecture Notes in Computer Science, vol 13373. Springer, Cham. https://doi.org/10.1007/978-3-031-13321-3_3

Download citation

  • DOI: https://doi.org/10.1007/978-3-031-13321-3_3

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-13320-6

  • Online ISBN: 978-3-031-13321-3

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics