Literature DB >> 25667016

Performance assessment of a closed-loop system for diabetes management.

A Martinez-Millana1, G Fico2, C Fernández-Llatas3, V Traver3.   

Abstract

Telemedicine systems can play an important role in the management of diabetes, a chronic condition that is increasing worldwide. Evaluations on the consistency of information across these systems and on their performance in a real situation are still missing. This paper presents a remote monitoring system for diabetes management based on physiological sensors, mobile technologies and patient/doctor applications over a service-oriented architecture that has been evaluated in an international trial (83,905 operation records). The proposed system integrates three types of running environments and data engines in a single service-oriented architecture. This feature is used to assess key performance indicators comparing them with other type of architectures. Data sustainability across the applications has been evaluated showing better outcomes for full integrated sensors. At the same time, runtime performance of clients has been assessed spotting no differences regarding the operative environment.

Entities:  

Keywords:  Diabetes; KPI; Performance; SOA; Sensors; Telemonitoring; mHealth

Mesh:

Substances:

Year:  2015        PMID: 25667016     DOI: 10.1007/s11517-015-1245-3

Source DB:  PubMed          Journal:  Med Biol Eng Comput        ISSN: 0140-0118            Impact factor:   2.602


  23 in total

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2.  Effect of home telemonitoring on glycemic and blood pressure control in primary care clinic patients with diabetes.

Authors:  Bonnie J Wakefield; Richelle J Koopman; Lynn E Keplinger; Marilee Bomar; Beth Bernt; Jennifer L Johanning; Robin L Kruse; J Wade Davis; Douglas S Wakefield; David R Mehr
Journal:  Telemed J E Health       Date:  2014-01-03       Impact factor: 3.536

3.  Self-adjustment of insulin dose using graphically depicted self-monitoring of blood glucose measurements in patients with type 1 diabetes mellitus.

Authors:  Andreas Reichel; Hannes Rietzsch; Barbara Ludwig; Katrin Röthig; Annette Moritz; Stefan R Bornstein
Journal:  J Diabetes Sci Technol       Date:  2013-01-01

4.  First clinical evaluation of a new percutaneous optical fiber glucose sensor for continuous glucose monitoring in diabetes.

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Journal:  J Diabetes Sci Technol       Date:  2013-01-01

5.  Twelve modern digital technologies that are transforming decision making for diabetes and all areas of health care.

Authors:  David C Klonoff
Journal:  J Diabetes Sci Technol       Date:  2013-03-01

6.  A new telemonitoring system intended for chronic heart failure patients using mobile telephone technology--feasibility study.

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Authors:  Yi Yvonne Zhou; Michael H Kanter; Jian J Wang; Terhilda Garrido
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8.  A user centered design approach for patient interfaces to a diabetes IT platform.

Authors:  Giuseppe Fico; Alessio Fioravanti; Maria Teresa Arredondo; Jan-Paul Leuteritz; Alejandra Guillén; Duarte Fernandez
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2011

9.  Using mobile health to support the chronic care model: developing an institutional initiative.

Authors:  Shantanu Nundy; Jonathan J Dick; Anna P Goddu; Patrick Hogan; Chen-Yuan E Lu; Marla C Solomon; Arnell Bussie; Marshall H Chin; Monica E Peek
Journal:  Int J Telemed Appl       Date:  2012-12-05

10.  The development of a mobile monitoring and feedback tool to stimulate physical activity of people with a chronic disease in primary care: a user-centered design.

Authors:  Sanne van der Weegen; Renée Verwey; Marieke Spreeuwenberg; Huibert Tange; Trudy van der Weijden; Luc de Witte
Journal:  JMIR Mhealth Uhealth       Date:  2013-07-02       Impact factor: 4.773

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  8 in total

1.  Special issue on emerging technologies for the management of diabetes mellitus.

Authors:  Konstantia Zarkogianni; Konstantina S Nikita
Journal:  Med Biol Eng Comput       Date:  2015-12       Impact factor: 2.602

2.  Novel non-contact control system of electric bed for medical healthcare.

Authors:  Chi-Chun Lo; Shang-Ho Tsai; Bor-Shyh Lin
Journal:  Med Biol Eng Comput       Date:  2016-06-15       Impact factor: 2.602

3.  Integration of Distributed Services and Hybrid Models Based on Process Choreography to Predict and Detect Type 2 Diabetes.

Authors:  Antonio Martinez-Millana; Jose-Luis Bayo-Monton; María Argente-Pla; Carlos Fernandez-Llatas; Juan Francisco Merino-Torres; Vicente Traver-Salcedo
Journal:  Sensors (Basel)       Date:  2017-12-29       Impact factor: 3.576

4.  User Centered Design to Improve Information Exchange in Diabetes Care Through eHealth : Results from a Small Scale Exploratory Study.

Authors:  Giuseppe Fico; Antonio Martinez-Millana; Jan-Paul Leuteritz; Alessio Fioravanti; Maria Eugenia Beltrán-Jaunsarás; Vicente Traver; Maria Teresa Arredondo
Journal:  J Med Syst       Date:  2019-11-18       Impact factor: 4.460

5.  The Emergence of Personalized Health Technology.

Authors:  Luke Nelson Allen; Gillian Pepall Christie
Journal:  J Med Internet Res       Date:  2016-05-10       Impact factor: 5.428

6.  Wearable Sensors Integrated with Internet of Things for Advancing eHealth Care.

Authors:  Jose-Luis Bayo-Monton; Antonio Martinez-Millana; Weisi Han; Carlos Fernandez-Llatas; Yan Sun; Vicente Traver
Journal:  Sensors (Basel)       Date:  2018-06-06       Impact factor: 3.576

Review 7.  App Features for Type 1 Diabetes Support and Patient Empowerment: Systematic Literature Review and Benchmark Comparison.

Authors:  Antonio Martinez-Millana; Elena Jarones; Carlos Fernandez-Llatas; Gunnar Hartvigsen; Vicente Traver
Journal:  JMIR Mhealth Uhealth       Date:  2018-11-21       Impact factor: 4.773

8.  Health Coaching Reduces HbA1c in Type 2 Diabetic Patients From a Lower-Socioeconomic Status Community: A Randomized Controlled Trial.

Authors:  Noah Wayne; Daniel F Perez; David M Kaplan; Paul Ritvo
Journal:  J Med Internet Res       Date:  2015-10-05       Impact factor: 5.428

  8 in total

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