Literature DB >> 20667814

Applying wearable solutions in dependent environments.

Juan A Fraile1, Javier Bajo, Juan M Corchado, Ajith Abraham.   

Abstract

This paper proposes a multiagent system (MAS) that uses smart wearable devices and mobile technology for the care of patients in a geriatric home care facility. The system is based on an advanced ZigBee wireless sensor network (WSN) and includes location and identification microchips installed in patient clothing and caregiver uniforms. The use of radio-frequency identification and near-field communication technologies allows remote monitoring of patients, and makes it possible for them to receive treatment according to preventive medical protocol. The proposed MAS manage the infrastructure of services within the environment both efficiently and securely by reasoning, task-planning, and synchronizing the data obtained from the sensors. Additionally, this paper presents the design and implementation of the reasoning agent in the MAS. A system prototype was installed in a real environment and the results obtained are presented in this paper.

Entities:  

Mesh:

Year:  2010        PMID: 20667814     DOI: 10.1109/TITB.2010.2053849

Source DB:  PubMed          Journal:  IEEE Trans Inf Technol Biomed        ISSN: 1089-7771


  10 in total

Review 1.  A comprehensive survey of wearable and wireless ECG monitoring systems for older adults.

Authors:  Mirza Mansoor Baig; Hamid Gholamhosseini; Martin J Connolly
Journal:  Med Biol Eng Comput       Date:  2013-01-19       Impact factor: 2.602

2.  Based Real Time Remote Health Monitoring Systems: A Review on Patients Prioritization and Related "Big Data" Using Body Sensors information and Communication Technology.

Authors:  Naser Kalid; A A Zaidan; B B Zaidan; Omar H Salman; M Hashim; H Muzammil
Journal:  J Med Syst       Date:  2017-12-29       Impact factor: 4.460

Review 3.  Advancing health information technology roadmaps in long term care.

Authors:  Gregory L Alexander; Andrew Georgiou; Kevin Doughty; Andrew Hornblow; Anne Livingstone; Michelle Dougherty; Stephen Jacobs; Malcolm J Fisk
Journal:  Int J Med Inform       Date:  2020-01-24       Impact factor: 4.046

Review 4.  Real-Time Fault-Tolerant mHealth System: Comprehensive Review of Healthcare Services, Opens Issues, Challenges and Methodological Aspects.

Authors:  A S Albahri; A A Zaidan; O S Albahri; B B Zaidan; M A Alsalem
Journal:  J Med Syst       Date:  2018-06-23       Impact factor: 4.460

5.  Uranus: a middleware architecture for dependable AAL and vital signs monitoring applications.

Authors:  Antonio Coronato
Journal:  Sensors (Basel)       Date:  2012-03-07       Impact factor: 3.576

6.  A Real-Time Health Monitoring System for Remote Cardiac Patients Using Smartphone and Wearable Sensors.

Authors:  Priyanka Kakria; N K Tripathi; Peerapong Kitipawang
Journal:  Int J Telemed Appl       Date:  2015-12-15

7.  Real-Time Compliant Stream Processing Agents for Physical Rehabilitation.

Authors:  Davide Calvaresi; Jean-Paul Calbimonte
Journal:  Sensors (Basel)       Date:  2020-01-29       Impact factor: 3.576

8.  The expectations and acceptability of a smart nursing home model among Chinese elderly people: A mixed methods study protocol.

Authors:  Yuanyuan Zhao; Shariff-Ghazali Sazlina; Fakhrul Zaman Rokhani; Jing Su; Boon-How Chew
Journal:  PLoS One       Date:  2021-08-23       Impact factor: 3.240

9.  Wearable gait analysis systems: ready to be used by medical practitioners in geriatric wards?

Authors:  Malte Ollenschläger; Felix Kluge; Matthias Müller-Schulz; Rupert Püllen; Claudia Möller; Jochen Klucken; Bjoern M Eskofier
Journal:  Eur Geriatr Med       Date:  2022-03-03       Impact factor: 3.269

Review 10.  Defining the concepts of a smart nursing home and its potential technology utilities that integrate medical services and are acceptable to stakeholders: a scoping review.

Authors:  Yuanyuan Zhao; Fakhrul Zaman Rokhani; Shariff-Ghazali Sazlina; Navin Kumar Devaraj; Jing Su; Boon-How Chew
Journal:  BMC Geriatr       Date:  2022-10-07       Impact factor: 4.070

  10 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.