Skip to main content
Disciplines
Automotive Business IT + Informatics Construction + Real Estate Electrical Engineering + Electronics Energy + Sustainability Insurance + Risk Finance + Banking Management + Leadership Marketing + Sales Mechanical Engineering + Materials
Events
DE
EN
Books
Journals
Topic Page
Marketing
Start single access now
Access for companies
EXTENDED SEARCH
Log in
Top
Published in:
Developments and Applications of Electronic Nose Systems for Gas Mixtures Classification and Concentration Estimation Read chapter Read first chapter

2016 | OriginalPaper | Chapter

19. Healthcare System for Non-invasive Fall Detection in Indoor Environment

Authors : Marco Mercuri, Carmine Garripoli, Peter Karsmakers, Ping Jack Soh, Guy A. E. Vandenbosch, Calogero Pace, Paul Leroux, Dominique Schreurs

Published in: Applications in Electronics Pervading Industry, Environment and Society

Publisher: Springer International Publishing

Log in

Activate our intelligent search to find suitable subject content or patents.

search-config
loading …

Abstract

Fall incidents and the sustained injuries represent the main causes of accidents for elderly people, and also the third cause of chronic disability. The rapid detection of a fall event can reduce the mortality risk, avoiding also the aggravation of injuries. In this paper an embedded healthcare system based on a microwave radar is presented. A Continuous Wave (CW) Doppler radar is used to detect the changes in speed of different persons experienced during daily activities, namely falling and normal/random movements. The resulted speed signals are then processed in real-time by a digital signal processor (DSP) in order to detect fall incidents. Experimental results, conducted on real human volunteers in a real room setting, have shown a success rate of 100 % in detecting fall events. Moreover, no false positives have been reported.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

inform now
previous chapter Low Cost FMCW Radar Design and Implementation for Harbour Surveillance Applications
next chapter Analysis of Spread-Spectrum Clocking Modulations Under Synchronization Timing Constraint
Literature
1.
Haentjens, P., Magaziner, J., et al.: Excess mortality after hip fracture among older women and men. Ann. Intern. Med. 152, 380–390 (2010)CrossRef
2.
Lord, S.R., Sherrington, C., Menz, H.B.: Falls in Older People: Risk Factors and Strategies for Prevention. Cambridge University Press, Cambridge (2007)CrossRef
3.
Gurley, R.J., Lum, N., Sande, M., Lo, B., Katz, M.H.: Persons found in their homes helpless or dead. N. Engl. J. Med. 334, 1710–1716 (1996)CrossRef
4.
Moran, C.G., Wenn, R.T., Sikand, M., Taylor, A.M.: Early mortality after hip fracture: is delay before surgery important. J. Bone Joint Surg. 87, 483–489 (2005)CrossRef
5.
Yu, M., Naqvi, S.M., Chambers, J.: A robust fall detection system for elderly in a smart room. In: International Conference on Acoustics Speech and Signal Processing, pp. 1666–1669. Dallas, USA, March (2010)
6.
Zigel, Y., Litvak, D., Gannot, I.: A method for automatic fall detection of elderly people using floor vibrations and sound—proof of concept on human mimicking doll falls. Trans. Biomed. Eng. 56(12), 2858–2867 (2009)CrossRef
7.
Mercuri, M., Schreurs, D., Leroux, P.: Optimised waveform design for radar sensor aimed at contactless health monitoring. IET Electron. Lett. 48(20), 1255–1257 (2012)CrossRef
8.
Mercuri, M., Soh, P., Pandey, G., Karsmakers, P., Vandenbosch, G.A.E., Leroux, P., Schreurs, D.: Analysis of an indoor biomedical radar-based system for health monitoring. IEEE Trans. Microw. Theory Tech. 61(5), 2061–2068 (2013)CrossRef
9.
Karsmakers, P., Croonenborghs, T., Mercuri, M., Schreurs, D., Leroux, P.: Automatic in-door fall detection based on microwave radar measurements. In Proceedings of the European Radar Conference, Amsterdam, The Netherlands, 2 Oct 31-Nov 2012, pp. 202–205
Metadata
Title
Healthcare System for Non-invasive Fall Detection in Indoor Environment
Authors
Marco Mercuri
Carmine Garripoli
Peter Karsmakers
Ping Jack Soh
Guy A. E. Vandenbosch
Calogero Pace
Paul Leroux
Dominique Schreurs
Copyright Year
2016
Book
Applications in Electronics Pervading Industry, Environment and Society

Print ISBN: 978-3-319-20226-6

Electronic ISBN: 978-3-319-20227-3

Copyright Year: 2016

DOI
https://doi.org/10.1007/978-3-319-20227-3_19