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Towards Assistive Diagnoses in m-Health: A Gray-box Neural Model for Cerebral Autoregulation Index
Jorge Cuevas, Claudio Henriquez, Francisco Cruz · 2020-11-18 · via eess.SP updates on arXiv.org

The cerebral autoregulation system (CAS), is a mechanism which aims to regulate pressure variations occurring in the cerebral circulatory system. At present, there only exist invasive methods and, in turn, they are not used to prevent cerebrovascular accidents. Nowadays, the emergent concept of m-Health allows to use mobile devices to assist the cerebral autoregulation index (ARI). For this, it is necessary to find novel models which allow to approximate the ARI by using the blood pressure value. This work proposes a gray-box neural model to find a relation between the arterial blood pressure (ABP) and the cerebral blood flow velocity (CBFV) in order to obtain the ARI. Preliminary results show good performance by using a phenomenological model in comparison to the Aaslid-Tiecks model.

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