Development of a Mobile Phone Based e-Health Monitoring Application

Lee, Duck Hee; Rabbi, Ahmed; Choi, Jaesoon; Fazel-Rezai, Reza

doi:10.14569/ijacsa.2012.030307

Cited by 18 publications

(2 citation statements)

References 20 publications

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“…By virtue of this, quality health service can be provided in rural areas that are far from reach of medical facilities. Also the home monitoring of health care can save both time as well as patient's expenses [1]. E-health technologies have a significant future impact on patient's empowerment in health maintenance and decision-making supporting self-care.…”

Section: Communication Among Agents 2 Autonomy 3 Agent Behavior 4 mentioning

confidence: 99%

An Intelligent Approach Based Embedded System Design For Telemedicine Application

Mohanty

2018

ing. Solidar

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Introduction: The present research was conducted at Sikha ‘O’ Anusandan (deemed to be University) in 2017. Telemedicine application in the field of medicine creates a new age. Accordingly, it requires technology to be compatible. Easy access and fast processing are the major focuses in different applications. In this paper, an approach has been considered to diagnose heart diseases.Methods: The model is designed using fuzzy logic in which the rule-based principle is applied to satisfy the objective. The model is developed keeping a view over the multi-agent system. The diagnosis of the patient is performed using Fuzzy Inference System (fis).Results: The pathological test results will help to form the rules of the model and can work for the diagnosis in a convenient way. Furthermore, the results of detection are communicated through Internet and sms for monitoring and post care purpose of supporting IoT application.Conclusion: The simulated result shows its performance can be helpful to physicians as well as patients from remote places.Originality: The model is proposed for disease detection and monitoring patients on remote locations. Also, distributed agents are proposed to act on a common platform using Internet for the benefit of society. This will save time for physicians and travelling costs for the patient.Limitations: The research results can be practically implemented in new medical equipment for hospitals with earlier equipment.

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Section: Communication Among Agents 2 Autonomy 3 Agent Behavior 4 mentioning

confidence: 99%

An Intelligent Approach Based Embedded System Design For Telemedicine Application

Mohanty

2018

ing. Solidar

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“…Continuous monitoring and analysis of patient vital signs is a typical example of m-Health application. Recently, research and development of mHealth are becoming active for life-style diseases such as heart disease or diabetes (Varshney, 2007;Nkosi & Mekuria, 2010;Ren, Pazzi & Boukerche, 2010;Lee et al, 2012;Nemati et al, 2012;Agekura & Kageyama, 2010).…”

Section: Introductionmentioning

confidence: 99%

Wearable ECG Monitoring and Alerting System Associated with Smartphone

Watanabe

Kawarasaki

Sato

et al. 2013

International Journal of E-Health and Medical Communications

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Heart disease has the second high mortality rate behind cancer in Japan, and requires quick treatment. To take a part in emerging mHealth, the authors developed a wearable electrocardiographic (ECG) monitoring and alerting system “iHeart”. iHeart continuously monitors patient's ECG in his/her daily activities and issues an alert to the patient as well as surrounding people if it detects abnormal heart behaviour. iHeart consists of a wireless ECG sensor and a smartphone to achieve light-weighted, low-cost system that does not degrade the patient's Quality of Life. In parallel, the authors developed ECG analysis algorithm to detect R-wave as well as arrhythmia, and implemented these algorithms in wireless ECG sensor rather than in smartphone to save power consumption of ECG sensor caused by radio communication. The authors proof the practicality and usefulness of our system in clinical experiment. This paper describes the implementation of iHeart, evaluation experiment, and future requirements of the system.

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A Product Line Architecture for Mobile Patient Monitoring System

Paliwal

Kiwelekar²

2015

Mobile Health

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Development of a Mobile Phone Based e-Health Monitoring Application

Cited by 18 publications

References 20 publications

An Intelligent Approach Based Embedded System Design For Telemedicine Application

An Intelligent Approach Based Embedded System Design For Telemedicine Application

Wearable ECG Monitoring and Alerting System Associated with Smartphone

A Product Line Architecture for Mobile Patient Monitoring System

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