Please use this identifier to cite or link to this item: http://hdl.handle.net/10773/37913
Title: “Listen to your symptoms when the immune system is calling for you”: monitoring autoimmune diseases with the iShU wearable app
Author: Ortet, Cláudia
Costa, Liliana Vale
Keywords: Wearable sensors
Gamification
self-care
autoimmune disease management
inflammation surveillance
mHealth
Issue Date: 2-May-2022
Publisher: MDPI
Abstract: The immune system plays a key role in protecting living beings against bacteria, viruses, and fungi, among other pathogens, which may be harmful and represent a threat to our own health. However, for reasons that are not fully understood, in some people this protective mechanism accidentally attacks the organs and tissues, thus causing inflammation and leads to the development of autoimmune diseases. Remote monitoring of human health involves the use of sensor network technology as a means of capturing patient data, and wearable devices, such as smartwatches, have lately been considered good collectors of biofeedback data, owing to their easy connectivity with a mHealth system. Moreover, the use of gamification may encourage the frequent usage of such devices and behavior changes to improve self-care for autoimmune diseases. This study reports on the use of wearable sensors for inflammation surveillance and autoimmune disease management based on a literature search and evaluation of an app prototype with fifteen stakeholders, in which eight participants were diagnosed with autoimmune or inflammatory diseases and four were healthcare professionals. Of these, six were experts in human–computer interaction to assess critical aspects of user experience. The developed prototype allows the monitoring of autoimmune diseases in pre-, during-, and post-inflammatory crises, meeting the personal needs of people with this health condition. The findings suggest that the proposed prototype—iShU—achieves its purpose and the overall experience may serve as a foundation for designing inflammation surveillance and autoimmune disease management monitoring solutions.
Peer review: yes
URI: http://hdl.handle.net/10773/37913
DOI: 10.3390/s22103834
ISSN: 1424-8220
Appears in Collections:DeCA - Artigos
DigiMedia - Artigos

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