Application of Ubiquitous Computing in Personal Health Monitoring Systems

Kunze, Christophe; Großmann, U.; Stork, Wilhelm; Kd, Müller-Glaser

doi:10.1515/bmte.2002.47.s1a.360

Cited by 63 publications

(23 citation statements)

References 3 publications

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“…The software solution proposed by this paper could have exciting and profound impact on the area of healthcare that is related to patients recently discharged from hospitals or clinics, patients in poor and rural areas of the world, and even the general public [25]. Patient-centric health data provided by patients could prove to add a wealth of new knowledge that we have never been able to analyze or act upon before.…”

Section: Discussionmentioning

confidence: 99%

How are you feeling? A social network model to monitor the health of post-operative patients

Mulcahy

Huang

Cao

et al. 2011

2011 IEEE International Systems Conference

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Abstract-Mobile devices and cloud computing platforms have become increasing popular in recent years, as more ways in which to adopt these technologies to existing business and research models have been envisioned and implemented. What started as simply providing bandwidth and technology to mobile users in order to browse the internet from handheld devices now allows entire websites to be hosted on remote cloud platforms. Users now have the ability to trade and track stock market data from anywhere and anytime, automatically communicate data from wearable medical sensor devices, avoid vehicle collisions, track freight shipments, and a plethora of other applications.Healthcare is an area where the leveraging of these new technologies has the ability to have worldwide impact, with many exciting possibilities. However, much of the current focus is on more -doctor-centric‖ uses rather than -patient-centric‖ ones. The use of mobile devices to automatically sense and transmit data from the patient, devices to aid in dictation and communication within hospital settings, and cloud products to store patient data and other solutions help make the tasks of physicians easier, but do not necessarily improve the care given to the patient. There are bandwidth concerns, security concerns and the general cyberphobia that consumers commonly have with sharing personal information. This paper proposes a different type of solution that is more related to a social networking environment in which many people are already comfortable using. It concentrates on the collection of data from patients during a period of time that they are often suffering the most -after initial post-operative release from a hospital or clinic. It first explores technologies that are currently in use, and then describes a different model that allows the patient to control what information is being shared, who is allowed to consume this data, and how it might enhance the well-being of those that may make use of this new paradigm.

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Section: Discussionmentioning

confidence: 99%

How are you feeling? A social network model to monitor the health of post-operative patients

Mulcahy

Huang

Cao

et al. 2011

2011 IEEE International Systems Conference

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“…There had been a great deal of research and systems related to health monitoring systems. Pervasive computing applications are available in plenty as the authors suggest in [10][11][12][13][14][15]. In [16], the authors suggested a context awareness health monitoring system.…”

Section: Related Workmentioning

confidence: 99%

Impact of Pervasive Computing in Education

Norman¹

2013

IJEL

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“…Lifelogging may change how we use and share personal data [3], allowing us to look back over our lives or search through and organize past experiences. Much research has been carried out in this field in order to create lifelogging devices, which enable people to efficiently monitor locations they have visited [4], maintain health records [5], [6] and log numerous other aspects of their lives [7], [8], [9]. However, lifelogging raises a number of questions, such as what, where, when and who we can monitor, and who can monitor us.…”

Section: Introductionmentioning

confidence: 99%

Ensuring Privacy during Pervasive Logging by a Passerby

Memon

Tanaka

2014

Journal of Information Processing

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Pervasive logging devices capture everything along with the public nearby without their consent, thus, possibly troubling people who prefer their privacy. This has issues for privacy and, furthermore, the widespread use of such logging devices may affect people's behavior, as they may feel uncomfortable that they are constantly being monitored. People may wish to have some control over the lifelogging devices of others and, in this article, we describe a framework to restrict anonymous logging, unless explicitly permitted. Our privacy framework allows the user of a logging device to define privacy policies controlling when, where and who to restrict from logging them. Moreover, it is possible to select which type of logging sensors to apply these restrictions. Evaluation results show that this approach is a practical method of configuring privacy settings and restricting pervasive devices from logging.

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Application of Ubiquitous Computing in Personal Health Monitoring Systems

Cited by 63 publications

References 3 publications

How are you feeling? A social network model to monitor the health of post-operative patients

How are you feeling? A social network model to monitor the health of post-operative patients

Impact of Pervasive Computing in Education

Ensuring Privacy during Pervasive Logging by a Passerby

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