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Sensor-based fall risk assessment - dagger of the mind?

  • Fall events and their severe consequences represent not only a threatening problem for the affected individual, but also cause a significant burden for health care systems. Our research work aims to elucidate some of the prospects and problems of current sensor-based fall risk assessment approaches. Selected results of a questionnaire-based survey given to experts during topical workshops at international conferences are presented. The majority of domain experts confirmed that fall risk assessment could potentially be valuable for the community and that prediction is deemed possible, though limited. We conclude with a discussion of practical issues concerning adequate outcome parameters for clinical studies and data sharing within the research community. All participants agreed that sensor-based fall risk assessment is a promising and valuable approach, but that more prospective clinical studies with clearly defined outcome measures are necessary.

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Metadaten
Author:Michael Marschollek, Mareike SchulzeGND, Matthias Gietzelt, Nigel H. Lovell, Stephen J. Redmond
URN:urn:nbn:de:bsz:960-opus4-11276
DOI:https://doi.org/10.3233/978-1-61499-289-9-1048
ISBN:978-1-61499-289-9
Parent Title (English):MEDINFO 2013 : proceedings of the 14th World Congress on Medical and Health Informatics
Document Type:Conference Proceeding
Language:English
Year of Completion:2013
Release Date:2017/07/26
Tag:fall prediction; fall prevention; fall risk; sensor-based assessment; wearable sensors
First Page:1048
Last Page:1048
Institutes:Fakultät III - Medien, Information und Design
DDC classes:610 Medizin, Gesundheit
Licence (German):License LogoCreative Commons - Namensnennung-Nicht kommerziell 3.0