Combined Image-Based Approach for Monitoring the Adherence to Inhaled Medications

• Tipo: Artigo em Livro de Atas de Conferência Internacional
• Data: 2020

Autores

Vieira Marques, P (Autor) FMUP; Teixeira, JF (Autor) Outra; Valente, J (Autor) Outra; Pinho, B (Autor) Outra; Guedes, R (Autor) Outra; Almeida, R (Autor) FMUP; Jacome, C (Autor) FMUP; Pereira, A (Autor) FMUP; Jacinto T (Autor) FMUP; Amaral, R (Autor) FMUP; Goncalves, I (Autor) Outra; Sousa, AS (Autor) Outra; Couto, M (Autor) Outra; Pereira, M (Autor) Outra; Magalhaes, M (Autor) Outra; Bordalo, D (Autor) Outra; Silva, LN (Autor) Outra; Fonseca, J (Autor) FMUP

Ata de Conferência Internacional

Título: XV MEDITERRANEAN CONFERENCE ON MEDICAL AND BIOLOGICAL ENGINEERING AND COMPUTING - MEDICON 2019

Páginas: 1399-1404

15th Mediterranean Conference on Medical and Biological Engineering and Computing (MEDICON)

UNESCO World Heritage Univ, Coimbra, PORTUGAL, SEP 26-28, 2019

Indexação

ISI Web of Knowledge - 0 Citações

Scopus - 2 Citações

Outras Informações

ID Authenticus: P-00R-2H5

DOI: 10.1007/978-3-030-31635-8_171

Abstract (EN): The adherence to inhaled controller medications is of critical importance to achieve good clinical results in patients with chronic respiratory diseases. To objectively verify the adherence, a detection tool was previously developed and integrated in the mobile application InspirerMundi, based on image processing methods. In this work, a new approach for enhanced adherence verification was developed. In a first phase template matching is employed to confirm the inhaler positioning and to locate the dose counter. In a second phase Google ML Kit framework is used for the detection of each numerical dose in the dose counter. The proposed approach was validated through a new detection tool pilot implementation, using a set of images collected by patients using the application in their daily life. Performance of each of the two phases was evaluated for a set of commonly used inhaler devices. Promising results were achieved showing the potential of mobile embedded sensors without the need for external devices.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 6