Literature DB >> 19163421

The inescapable smart impact detection system (ISIS): An ubiquitous and personalized fall detector based on a distributed 'divide and conquer strategy'.

Manuel Prado-Velasco1, Maria Gloria del Rio-Cidoncha, Rafael Ortiz-Marin.   

Abstract

Despite the intense research in the last decade with the aim of developing a reliable solution for fall detection in the elderly and other risk populations, it can be asserted that the diffusion of fall detectors in the geriatric practice is near null. This scenario is similar to the very scarce use of telemedicine in healthcare. The present work begins analyzing why fall detectors have not achieved to permeate the industry. That road is used to know the drawbacks of current devices and systems, besides to allow studying several important concepts underlying the principles of fall detection. A novel smart detection system based on that survey is finally briefly presented. The design of this device is founded on the experience and results obtained by an earlier device that was designed in the framework of the thesis of one of the authors.

Mesh:

Year:  2008        PMID: 19163421     DOI: 10.1109/IEMBS.2008.4649918

Source DB:  PubMed          Journal:  Conf Proc IEEE Eng Med Biol Soc        ISSN: 1557-170X


  3 in total

Review 1.  Fall detection devices and their use with older adults: a systematic review.

Authors:  Shomir Chaudhuri; Hilaire Thompson; George Demiris
Journal:  J Geriatr Phys Ther       Date:  2014 Oct-Dec       Impact factor: 3.381

2.  Smart sensors and virtual physiology human approach as a basis of personalized therapies in diabetes mellitus.

Authors:  Carlos M Fernández Peruchena; Manuel Prado-Velasco
Journal:  Open Biomed Eng J       Date:  2010-08-08

3.  Detection of human impacts by an adaptive energy-based anisotropic algorithm.

Authors:  Manuel Prado-Velasco; Rafael Ortiz Marín; Gloria del Rio Cidoncha
Journal:  Int J Environ Res Public Health       Date:  2013-10-10       Impact factor: 3.390

  3 in total

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