ICT for fall prevention



Important Aspects to Consider When Developing ICTs for Purposes of Fall Prevention in the eHealth Domain


Link to paper



IDDM 2018  Informatics & Data-Driven Medicine

Proceedings of the 1st International Workshop on Informatics & Data-Driven Medicine (IDDM 2018)


Lviv, Ukraine, November 28-30, 2018.




Jaime Campos  and Linda Askenäs 

Linnaeus University



The current paper reviews briefly the eHealth domain, especially fall

detection and prevention features, in connection with the developments of ICTs. The timely data signal providing identification of probable fall at early stages as well as its specifics can prevent serious injuries. It is crucial for elderly people living at home alone since it could affect their independent living. Therefore, the specific and contextual characteristics of several related factors are essential to understand in order to be able to diminish or remove the risk of the fall of the

elderly at risk. The current paper presents research in progress and its results in the FRONT-VL project part of Celtic plus. The paper highlights essential factors to consider when developing and implementing a semantic database model for purposes, such as fault prevention.





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