Detecting a decline in the health condition of a patient may still be considered a challenge in Ambient Assisted Living (AAL) since the concept of 'decline' is vague and imprecise. In this context, Fuzzy Logic comes as an excellent alternative for AAL systems. This paper presents a model based on Fuzzy logic reasoning in order to identify a possible decline in the patient health condition. In order to achieve this goal, the model considers relevant situations that may somehow impact the patient. To evaluate the model, a case study was developed, showing that the developed model can simulate the human reasoning and be used in an AAL system.
Fuzzy based model to detect patient's health decline in Ambient Assisted Living / Santos Teixeira, Milene; Maran, V.; Lima, J. C. D.; Augustin, I.; Machado, A.. - 1:(2017), pp. 659-666. (Intervento presentato al convegno 19th International Conference on Enterprise Information Systems, ICEIS 2017 tenutosi a Porto nel 2017) [10.5220/0006368806590666].
Fuzzy based model to detect patient's health decline in Ambient Assisted Living
Teixeira Milene Santos;
2017-01-01
Abstract
Detecting a decline in the health condition of a patient may still be considered a challenge in Ambient Assisted Living (AAL) since the concept of 'decline' is vague and imprecise. In this context, Fuzzy Logic comes as an excellent alternative for AAL systems. This paper presents a model based on Fuzzy logic reasoning in order to identify a possible decline in the patient health condition. In order to achieve this goal, the model considers relevant situations that may somehow impact the patient. To evaluate the model, a case study was developed, showing that the developed model can simulate the human reasoning and be used in an AAL system.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione
