Literature DB >> 24876136

MyHealthAssistant: an event-driven middleware for multiple medical applications on a smartphone-mediated body sensor network.

Christian Seeger, Kristof Van Laerhoven, Alejandro Buchmann.   

Abstract

An ever-growing range of wireless sensors for medical monitoring has shown that there is significant interest in monitoring patients in their everyday surroundings. It however remains a challenge to merge information from several wireless sensors and applications are commonly built from scratch. This paper presents a middleware targeted for medical applications on smartphone-like platforms that relies on an event-based design to enable flexible coupling with changing sets of wireless sensor units, while posing only a minor overhead on the resources and battery capacity of the interconnected devices. We illustrate the requirements for such middleware with three different healthcare applications that were deployed with our middleware solution, and characterize the performance with energy consumption, overhead caused for the smartphone, and processing time under real-world circumstances. Results show that with sensing-intensive applications, our solution only minimally impacts the phone's resources, with an added CPU utilization of 3% and a memory usage under 7 MB. Furthermore, for a minimum message delivery ratio of 99.9%, up to 12 sensor readings per second are guaranteed to be handled, regardless of the number of applications using our middleware.

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Year:  2014        PMID: 24876136     DOI: 10.1109/JBHI.2014.2326604

Source DB:  PubMed          Journal:  IEEE J Biomed Health Inform        ISSN: 2168-2194            Impact factor:   5.772


  5 in total

1.  Health 4.0: On the Way to Realizing the Healthcare of the Future.

Authors:  Jameela Al-Jaroodi; Nader Mohamed; Eman Abukhousa
Journal:  IEEE Access       Date:  2020-11-18       Impact factor: 3.367

2.  Real-Time Management of Multimodal Streaming Data for Monitoring of Epileptic Patients.

Authors:  Dimitrios Triantafyllopoulos; Panagiotis Korvesis; Iosif Mporas; Vasileios Megalooikonomou
Journal:  J Med Syst       Date:  2015-12-07       Impact factor: 4.460

3.  A Mobile-Based Patient-Centric Passive System for Guiding Patients Through the Hospital Workflow: Design and Development.

Authors:  Chalee Vorakulpipat; Ekkachan Rattanalerdnusorn; Soontorn Sirapaisan; Visut Savangsuk; Natsuda Kasisopha
Journal:  JMIR Mhealth Uhealth       Date:  2019-07-22       Impact factor: 4.773

4.  Scoping Review of Healthcare Literature on Mobile, Wearable, and Textile Sensing Technology for Continuous Monitoring.

Authors:  N Hernandez; L Castro; J Medina-Quero; J Favela; L Michan; W Ben Mortenson
Journal:  J Healthc Inform Res       Date:  2021-02-01

5.  Analyzing the Patient Behavior for Improving the Medical Treatment Using Smart Healthcare and IoT-Based Deep Belief Network.

Authors:  Rasha M K Mohamed; Osama R Shahin; Nadir O Hamed; Heba Y Zahran; Magda H Abdellattif
Journal:  J Healthc Eng       Date:  2022-03-10       Impact factor: 2.682

  5 in total

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