Mobile phone technologies and advanced data analysis towards the enhancement of diabetes self-management

Kouris, Ioannis; Mougiakakou, Stavroula; Scarnato, Luca; Iliopoulou, Dimitra; Diem, Peter; Vazeou, Andriani; Koutsouris, Dimitris (2010). Mobile phone technologies and advanced data analysis towards the enhancement of diabetes self-management. International journal of electronic healthcare, 5(4), pp. 386-402. Genève: Inderscience Enterprises

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Advances in the area of mobile and wireless communication for healthcare (m-Health) along with the improvements in information science allow the design and development of new patient-centric models for the provision of personalised healthcare services, increase of patient independence and improvement of patient's self-control and self-management capabilities. This paper comprises a brief overview of the m-Health applications towards the self-management of individuals with diabetes mellitus and the enhancement of their quality of life. Furthermore, the design and development of a mobile phone application for Type 1 Diabetes Mellitus (T1DM) self-management is presented. The technical evaluation of the application, which permits the management of blood glucose measurements, blood pressure measurements, insulin dosage, food/drink intake and physical activity, has shown that the use of the mobile phone technologies along with data analysis methods might improve the self-management of T1DM.

Item Type:

Journal Article (Original Article)

Division/Institute:

10 Strategic Research Centers > ARTORG Center for Biomedical Engineering Research > ARTORG Center - Diabetes Technology
04 Faculty of Medicine > Department of Gynaecology, Paediatrics and Endocrinology (DFKE) > Clinic of Endocrinology, Diabetology and Clinical Nutrition

UniBE Contributor:

Mougiakakou, Stavroula and Diem, Peter

ISSN:

1741-8453

Publisher:

Inderscience Enterprises

Language:

English

Submitter:

Factscience Import

Date Deposited:

04 Oct 2013 14:14

Last Modified:

20 May 2014 13:13

PubMed ID:

21041177

URI:

https://boris.unibe.ch/id/eprint/3468 (FactScience: 207260)

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