Title: A system for continuous monitoring of food intake in patients with dysphagia

Authors: Ingridy Marina Pierre Barbalho; Patrício De Alencar Silva; Cynthia Moreira Maia; Cicilia Raquel Maia Leite

Addresses: Programa de Pós-Graduação em Ciência da Computação (PPgCC), Universidade Federal Rural do Semi-Árido – UFERSA, Universidade do Estado do Rio Grande do Norte – UERN, Mossoró, Rio Grande do Norte, 59600-000, Brasil ' Programa de Pós-Graduação em Ciência da Computação (PPgCC), Universidade Federal Rural do Semi-Árido – UFERSA, Universidade do Estado do Rio Grande do Norte – UERN, Mossoró, Rio Grande do Norte, 59600-000, Brasil ' Programa de Pós-Graduação em Ciência da Computação (PPgCC), Universidade Federal Rural do Semi-Árido – UFERSA, Universidade do Estado do Rio Grande do Norte – UERN, Mossoró, Rio Grande do Norte, 59600-000, Brasil ' Programa de Pós-Graduação em Ciência da Computação (PPgCC), Universidade Federal Rural do Semi-Árido – UFERSA, Universidade do Estado do Rio Grande do Norte – UERN, Mossoró, Rio Grande do Norte, 59600-000, Brasil

Abstract: The use of mobile devices for continuous monitoring of patients with a specific pathology can significantly help in their recovery. In this perspective, this work presents the development of an mHealth monitoring system to follow-up of patients with difficulty in swallowing and/or Oropharyngeal Dysphagia. The developed system aims to capture the movements and the acoustic signals generated during the process of chewing and swallowing, and classify them in solid, liquid or pasty material. After classified, this information is stored and generated a food record with detailed information about the meals made, relating the level of dysphagia in the patient, based on this information. To this end, it was implemented a domain ontology for data classification. Finally, the system was validated through experiments in the real environment, showing relevant results and providing quality of life to patients who need remote monitoring.

Keywords: artificial intelligence; difficulty in swallowing; food intake; ontologies; food history; remote monitoring; patient monitoring; health technology.

DOI: 10.1504/IJBRA.2021.117931

International Journal of Bioinformatics Research and Applications, 2021 Vol.17 No.4, pp.303 - 323

Received: 08 Feb 2019
Accepted: 05 Nov 2019
Published online: 05 Oct 2021 *

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