Literature DB >> 20307407

Bluetooth low energy: wireless connectivity for medical monitoring.

Alf Helge Omre1.   

Abstract

Electronic wireless sensors could cut medical costs by enabling physicians to remotely monitor vital signs such as blood pressure, blood glucose, and blood oxygenation while patients remain at home. According to the IDC report "Worldwide Bluetooth Semiconductor 2008-2012 Forecast," published November 2008, a forthcoming radio frequency communication ("wireless connectivity") standard, Bluetooth low energy, will link wireless sensors via radio signals to the 70% of cell phones and computers likely to be fitted with the next generation of Bluetooth wireless technology, leveraging a ready-built infrastructure for data transmission. Analysis of trends indicated by this data can help physicians better manage diseases such as diabetes. The technology also addresses the concerns of cost, compatibility, and interoperability that have previously stalled widespread adoption of wireless technology in medical applications. (c) 2010 Diabetes Technology Society.

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Year:  2010        PMID: 20307407      PMCID: PMC2864182          DOI: 10.1177/193229681000400227

Source DB:  PubMed          Journal:  J Diabetes Sci Technol        ISSN: 1932-2968


  6 in total

Review 1.  Smart telemedicine support for continuous glucose monitoring: the embryo of a future global agent for diabetes care.

Authors:  Mercedes Rigla
Journal:  J Diabetes Sci Technol       Date:  2011-01-01

Review 2.  Review of innovations in digital health technology to promote weight control.

Authors:  J Graham Thomas; Dale S Bond
Journal:  Curr Diab Rep       Date:  2014       Impact factor: 4.810

3.  Device connectivity: the next big wave in diabetes.

Authors:  John Walsh; Ruth Roberts; Richard Morris; Lutz Heinemann
Journal:  J Diabetes Sci Technol       Date:  2015-01-21

Review 4.  Performance Evaluation of Bluetooth Low Energy: A Systematic Review.

Authors:  Jacopo Tosi; Fabrizio Taffoni; Marco Santacatterina; Roberto Sannino; Domenico Formica
Journal:  Sensors (Basel)       Date:  2017-12-13       Impact factor: 3.576

5.  A Personalized Healthcare Monitoring System for Diabetic Patients by Utilizing BLE-Based Sensors and Real-Time Data Processing.

Authors:  Ganjar Alfian; Muhammad Syafrudin; Muhammad Fazal Ijaz; M Alex Syaekhoni; Norma Latif Fitriyani; Jongtae Rhee
Journal:  Sensors (Basel)       Date:  2018-07-06       Impact factor: 3.576

6.  Optimizing the Bluetooth Low-Energy Service Discovery Process.

Authors:  Kristof T'Jonck; Bozheng Pang; Hans Hallez; Jeroen Boydens
Journal:  Sensors (Basel)       Date:  2021-05-31       Impact factor: 3.576

  6 in total

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