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Fraunhofer Center for Assistive Information and Communication Solutions, Portugal

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5 Papers

Automated Mobile Image Acquisition of Macroscopic Dermatological Lesions

Topics: Mobile Technologies for Healthcare Applications; Pattern Recognition and Machine Learning; eHealth Applications

Authors: Dinis Moreira , Pedro Alves , Francisco Veiga , Luís Rosado and Maria Vasconcelos

Affiliation: Fraunhofer Portugal AICOS, Porto, Portugal

Digital Object Identifier: 10.5220/0010234201220132

Proceedings of HEALTHINF 2021, ISBN: 978-989-758-490-9

Quick Abstract

The incidence of skin cancer has been rising every year translating in high economic costs. The development of mobile teledermatology applications that can contribute for the standardization of image acquisition can facilitate early diagnosis. This paper presents a new methodology for real-time automated image acquisition of macroscopic skin images via mobile devices. It merges an automated image focus assessment that uses a feature-based machine learning approach with segmentation of dermatological lesions using computer vision techniques. It also describes the datasets used to develop and evaluate the proposed approach: 3428 images from one dataset purposely collected using different mobile devices for the focus assessment component, and a total of 1380 images from two other datasets available on the literature to develop the segmentation approach. The best model for automatic focus assessment of preview images and acquired picture achieved an overall accuracy of 88.3% and 86.8%, respectively. The segmentation approach attained a Jaccard index of 85.81% and 68.59% for SMARTSKINS and Dermofit datasets, respectively. The developed algorithms present a fast processing time that is suitable for real-time usage in medium and high performance smartphones. These findings were also validated by implementing the proposed methodology within an android application demonstrating promising results.

SousChef: Mobile Meal Recommender System for Older Adults

Topics: Mobile Collaboration Technologies; Systems to Encourage Healthy Lifestyles; Mobile Health Monitoring; Personalized Interfaces; Intelligent Companions

Authors: David Ribeiro ¹ , João Machado ¹ , Jorge Ribeiro ¹ , Maria João M. Vasconcelos ¹ , Elsa F. Vieira ² and Ana Correia de Barros ³

Affiliations: ¹ Fraunhofer Portugal AICOS, Portugal , ² REQUIMTE, Institute of Engineering of Porto and Polytechnic Institute of Porto, Portugal , ³ CRPG - Gaia Vocational Rehabilitation Centre, Portugal

Digital Object Identifier: 10.5220/0006281900360045

Proceedings of ICT4AWE 2017, ISBN: 978-989-758-251-6

Quick Abstract

Nowadays, following a healthy diet is a challenge, either due to the large variety of food and ingredient combination possibilities or due to the lack of knowledge required to make healthy choices. This problem is even more patent amongst older adults. Although some recommender systems and applications have been proposed with aim to monitor calorie consumption and/or to suggest healthy recipes to general consumers, no similar solution was yet presented focused on older adults’ needs. In this work, a mobile meal recommender system, SousChef, for this target group is presented. This system is capable of creating a personalized meal plan based on the information provided by the user, including the anthropometric measures, personal preferences and activity level. The nutritional recommendations and the application was thought and designed for older adults, presenting friendly user interfaces and following the guidelines of a nutritionist. Tests with users were conducted in order to ascertain recipe and nutritional plan suitability as well as usability of the mobile application. Results showed that more than 70% of the older adult participants were satisfied with the meal plan suggestions and with the simplicity of the SousChef application.

μSmartScope: 3D-printed Smartphone Microscope with Motorized Automated Stage

Topics: Emerging Technologies; Biomedical Instrumentation; Biomedical Equipment; Imaging and Visualization Devices

Authors: Luís Rosado ¹ , João Oliveira ¹ , Maria João M. Vasconcelos ¹ , José M. Correia da Costa ² , Dirk Elias ¹ and Jaime S. Cardoso ³

Affiliations: ¹ Fraunhofer Portugal AICOS, Portugal , ² Instituto Nacional de Saúde Dr. Ricardo Jorge, Portugal , ³ INESCTEC and University of Porto, Portugal

Digital Object Identifier: 10.5220/0006155800380048

Proceedings of BIODEVICES 2017/BIOSTEC, ISBN: 978-989-758-216-5

Quick Abstract

Microscopic examination is currently the gold standard test for diagnosis of several neglected tropical diseases. However, reliable identification of parasitic infections requires in-depth train and access to proper equipment for subsequent microscopic analysis. These requirements are closely related with the increasing interest in the development of computer-aided diagnosis systems, and Mobile Health is starting to play an important role when it comes to health in Africa, allowing for distributed solutions that provide access to complex diagnosis even in rural areas. In this paper, we present a 3D-printed microscope that can easily be attached to a wide range of mobile devices models. To the best of our knowledge, this is the first proposed smartphone-based alternative to conventional microscopy that allows autonomous acquisition of a pre-defined number of images at 1000x magnification with suitable resolution, by using a motorized automated stage fully powered and controlled by a smartphone, without the need of manual focus of the smear slide. Reference smears slides with different parasites were used to test the device. The acquired images showed that was possible to visually detect those agents, which clearly illustrate the potential that this device can have, specially in developing countries with limited access to healthcare services.

Related Ontology Subjects/Areas/Topics (9)

Biomedical Engineering	Biomedical Instruments and Devices	Telecommunications
Biomedical Equipment	Emerging Technologies	Wireless and Mobile Technologies
Biomedical Instrumentation	Imaging and Visualization Devices	Wireless Information Networks and Systems

Automatic Segmentation Methodology for Dermatological Images Acquired via Mobile Devices

Topics: Telemedicine; Design and Development Methodologies for Healthcare IT; Mobile Technologies for Healthcare Applications

Authors: Luís Rosado and Maria Vasconcelos

Affiliation: Fraunhofer Portugal AICOS, Portugal

Digital Object Identifier: 10.5220/0005178302460251

Proceedings of HEALTHINF 2015/BIOSTEC, ISBN: 978-989-758-068-0

Quick Abstract

Nowadays, skin cancer is considered one of the most common malignancies in the Caucasian population, thus it is crucial to develop methodologies to prevent it. Because of that, Mobile Teledermatology (MT) is thriving, allowing patients to adopt an active role in their health status while facilitating doctors to early diagnose skin cancers. Skin lesion segmentation is one of the most important and difficult task in computerized image analysis process, and so far the attention is mainly turned to dermoscopic images. In order to turn MT more accurate, it is therefore fundamental to develop simple segmentation methodologies specifically designed for macroscopic images or images acquired via smartphones, which is the main focus of this work. The proposed method was applied in 80 images acquired via smartphones and promising results have been achieved: a mean Jaccard index of 81%, mean True Detection Rate of 96% and mean Accuracy around 98%. The major goal of this work is to develop a mobile application easily accessible for the general population, with the aim of raise awareness and help both patients and doctors in the early diagnosis of skin cancers.

Related Ontology Subjects/Areas/Topics (11)

Biomedical Engineering	Health Information Systems	Neurotechnology, Electronics and Informatics
Design and Development Methodologies for Healthcare IT	Mobile Technologies	Software Engineering
Distributed and Mobile Software Systems	Mobile Technologies for Healthcare Applications	Telemedicine
Health Engineering and Technology Applications	Neural Rehabilitation

Needs and Opportunities in Ambient Assisted Living in Portugal

Authors: Ricardo Vardasca ¹ , Liliana Ferreira ² and Ricardo Simoes ³

Affiliations: ¹ University of Minho, Portugal , ² Fraunhofer AICOS Portugal, Portugal , ³ University of Minho and Polytechnic Institute of Cávado and Ave, Portugal

Digital Object Identifier: 10.5220/0003889201000108

Proceedings of AAL 2012/BIOSTEC, ISBN: 978-989-8425-93-5

Quick Abstract

The exponential raise in the age dependency rate together with the difficulties in having conventional care solutions opens the space for the appearance and development of innovative Ambient Assisted Living (AAL) solutions. However, the development of these solutions requires a thorough understanding of user needs and wills. In this paper we present the scenarios being adopted in the context of AAL projects, as well as the products and services current available in each of the considered utilization scenarios. The needs of the Portuguese AAL users are analyzed through the discussion of some preliminary results from a survey targeted at the Portuguese population over 55 years old. These results will be used to characterize the needs and establish the readiness and willingness of elder Portuguese population in using AAL solutions.