Medical Monitoring Applications for Wearable Computing

Raskovic, Dejan; Martin, Thomas; Jovanov, Emil

doi:10.1093/comjnl/47.4.495

Cited by 127 publications

(39 citation statements)

References 43 publications

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“…The e-Health system for monitoring health parameters was developed based on Mamdani type fuzzy model that solve the problems of extracting knowledge from data (in the form of linguistic rules) and the associative links searching in the data set [3]. The important advantage of such models is the correct interpretability of data subject.…”

Section: The Approach To E-health Monitoring System Designing Based Omentioning

confidence: 99%

Data Processing in E-Health System

Globa¹,

Ishchenko²,

Zakharchuk³

2017

JCC

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E-Health is the activity with the usage of electronic information resources in the health sector and it ensures rapid access of medical professionals and patients to them. This paper presents an approach to the e-Health monitoring system development based on the IoT (internet of things technology) technologies. For such kind of system designing the Hub IoT technology and mathematical apparatus of fuzzy logic are suggested. The paper deals with the analysis of existing technologies IoT, discovered the using cloud services advantages for data processing and storage in the IoT systems (in particular IoT Hub). To improve the cloud service efficiency for data transmission and processing the approach to preprocessing data in e-Health monitoring system is proposed. This approach takes into account the software and hardware infrastructure as the common influence factor. For understanding the specificity of medical data it is proposed to use the mathematical methods based on fuzzy logic for data processing.

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Section: The Approach To E-health Monitoring System Designing Based Omentioning

confidence: 99%

Data Processing in E-Health System

Globa¹,

Ishchenko²,

Zakharchuk³

2017

JCC

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“…WBAN 통신은 센서 를 부착하거나 삼키는 형태로 사람의 건강 상태를 확인하는 의료용과 멀티미디어 기기와 무선으로 통 신하는 비 의료용으로 구분된다. 의료 분야에서는 인체의 생채 신호 전달을 목적으로 하기 때문에 비 의료 분야에 비해 높은 신뢰성이 요구되는 반면, 비 의료 분야에서는 고속의 데이터 전송이 요구된다 [2], [3] . [4], [5] .…”

Section: ⅰ 서 론 무선 인체 통신(Wban)은 인체 내외부의 노드나 장비 등을 사용하여 인체를 중심으로 3 M 내unclassified

Experimental Study on the Effect of Antenna Polarization in WBAN Off-Body Channel

Jeon¹,

Ahn²,

Kim³

et al. 2013

The Journal of Korean Institute of Electromagnetic Engineering

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This paper investigates the effect of antenna polarization in Wireless Body Area Network(WBAN) off-body channel. The polarizations of antenna are divided into four combinations regarding Line-of-Sight(LOS) and Non-LOS(NLOS) environment. The human body keeps both still standing and moving to show that the impact of the polarization to signal. This paper confirms the performance depending on the polarization of receiver antenna and the combination of the polarizations on the off-body channel.

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“…Wearable health monitoring systems integrated into a ubiquitous mobile health system (mHealth), emerged as a technology of choice for ambulatory monitoring [27] [28]. This approach facilitates continuous monitoring as a part of a diagnostic procedure, optimal maintenance of a chronic condition, or computer assisted rehabilitation.…”

Section: Ubiquitous Health Monitoringmentioning

confidence: 99%

Applications of Smartphones for Ubiquitous Health Monitoring and Wellbeing Management

Shrove

Jovanov

2011

JITA

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Advances in smartphone technology and data communications facilitate the use of ubiquitous health monitoring and mobile health application as a solution of choice for the overwhelming problems of the healthcare system. In addition to easier management and seamless access to historical records, ubiquitous technology has the potential to motivate users to take an active role and manage their own conditions.In this paper we present capabilities of the current generation of smartphones and possible applications for ubiquitous health monitoring and wellness management. We describe the architecture and organization of ubiquitous health monitoring systems, Body Sensor Networks, and integration of wearable and environmental sensors. We also describe mainstream mobile health related applications in today's mobile marketplaces such as Apple App Store and Google Android Marketplace. Finally, we present the development of UAHealth -our integrated mobile health monitoring system for wellness management, designed to monitor physical activity, weight, and heart activity.

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Medical Monitoring Applications for Wearable Computing

Cited by 127 publications

References 43 publications

Data Processing in E-Health System

Data Processing in E-Health System

Experimental Study on the Effect of Antenna Polarization in WBAN Off-Body Channel

Applications of Smartphones for Ubiquitous Health Monitoring and Wellbeing Management

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