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

• Type: Article in International Conference Proceedings Book
• Date: 2020

Authors

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

Conference proceedings International

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

Pages: 1399-1404

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

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

Indexing

ISI Web of Knowledge - 0 Citations

Scopus - 2 Citations

Other information

Authenticus ID: 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.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 6