Biofeedback data visualization for body sensor networks

Rodrigues, Joel J. P. C.; Pereira, Orlando R. E.; Neves, Paulo A. C. S.

doi:10.1016/j.jnca.2010.08.005

Cited by 40 publications

(14 citation statements)

References 21 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…He mainly studied the application effect of different kinds of wireless sensor networks in medical field. In the last fifteen years, he proposed some network solutions, such as IP-based wireless sensor network, biofeedback data visualization for body sensor networks, real-time query processing optimization for wireless sensor network, and so on [38][39][40]. Gustafson, David H's typical papers are concerned with the research around consumer health informatics which influence on how patients or potential patients get health knowledge they need [41].…”

Section: Authors Analysis Figure 4 Visualization Map Of Authorsmentioning

confidence: 99%

Hot Topics and Fronts in E-health Research: A Scientometric Analysis in CiteSpace

Ji¹,

Li²,

Feng³

et al. 2017

Preprint

View full text Add to dashboard Cite

Section: Authors Analysis Figure 4 Visualization Map Of Authorsmentioning

confidence: 99%

Hot Topics and Fronts in E-health Research: A Scientometric Analysis in CiteSpace

Ji¹,

Li²,

Feng³

et al. 2017

Preprint

View full text Add to dashboard Cite

“…Body sensor refers a technology that can detect a number of stimuli that are detected temperature and blood pressure, from the outside [6]. This is regardless of location by sending external processing equipment the sensor information to the external processing device in real time, streaming all the information to the physician in charge of the patient [7] [8].…”

Section: Body Sensor Networkmentioning

confidence: 99%

The Design of mBodyCloud System for Sensor Information Monitoring in the Mobile Cloud Environment

Park¹,

Moon²,

Lee³

et al. 2016

International journal of advanced smart convergence

View full text Add to dashboard Cite

Recently, introduced a cloud computing technology to the IT industry, smart phones, it has become possible connection between mobility terminal such as a tablet PC. For dissemination and popularization of movable wireless terminal, the same operation have focused on a viable mobile cloud in various terminal. Also, it evolved Wireless Sensor Network(WSN) technology, utilizing a Body Sensor Network(BSN), which research is underway to build large Ubiquitous Sensor Network(USN). BSN is based on large-scale sensor networks, it integrates the state information of the patient's body, it has been the need to build a managed system. Also, by transferring the acquired sensor information to HIS(Hospital Information

show abstract

“…Many examples of patient mounted systems have been reported in the literature: for example Pandian et al (2008) reported on their ECG inclusive 'smart-vest' for physiological monitoring. Rodrigues et al (2011) also devised a body sensor network system, but interestingly providing biofeedback visualization, which may be of use in aiding patients to better cope with their conditions. Amongst many other examples is the chest-mountable 'smart-belt' of Sardini and Serpelloni (2010), which included measurement of ECG traces, heart-rate, respiratory-rate, body temperature, position and acceleration.…”

Section: Physiological Body-area Sensingmentioning

confidence: 99%

Smart care spaces: pervasive sensing technologies for at-home care

Thomas

Moore

Evans

et al. 2014

IJAHUC

View full text Add to dashboard Cite

Society is experiencing an ageing demographic, coupled with increasing prevalence of Alzheimer's and Dementia conditions, expected to cause explosive increases in healthcare costs. Therefore, there is currently a need to develop pervasive technologies that allow monitoring of patients at home, where medically permissible, in order to reduce pressures on formal healthcare spaces. Those 'smart care spaces' require use of sensors and intelligent computer systems in order to support the needs of the cared-for, carers and medical personnel. In so doing they can ensure quality-of-life through comfort and adequate medical-monitoring, as well as providing significant data for ongoing medical evaluation and diagnosis. This requires two main elements of sensing: sensors to monitor the care environment and patient-mounted sensors to monitor physiological parameters. Therefore, this paper considers technological options available for such monitoring and provides examples of their use. It will be concluded that cost-effective solutions are available for development of smart care space monitoring, to help ensure that associated computer systems maintain an appropriate level of intelligence.

show abstract

Biofeedback data visualization for body sensor networks

Cited by 40 publications

References 21 publications

Hot Topics and Fronts in E-health Research: A Scientometric Analysis in CiteSpace

Hot Topics and Fronts in E-health Research: A Scientometric Analysis in CiteSpace

The Design of mBodyCloud System for Sensor Information Monitoring in the Mobile Cloud Environment

Smart care spaces: pervasive sensing technologies for at-home care

Contact Info

Product

Resources

About