A framework for enabling patient monitoring via mobile ad hoc network

Sneha, Sweta; Varshney, Upkar

doi:10.1016/j.dss.2013.01.024

Cited by 31 publications

(18 citation statements)

References 21 publications

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“…Remote patient monitoring (or telemonitoring), enabled by information and communication technologies (ICTs), is widely recognized as an effective tool to address current and future challenges related to the provision of healthcare services (Chen et al, 2010) (Sneha & Varshney, 2013). For example, home patient monitoring may help to increase the healthcare systems capacity by reducing the hospitals bed occupancy rate, (Goldberg & Wickramasinghe, 2003).…”

Section: Introduction To Mhealth Mobile Patient Monitoring Architecturesmentioning

confidence: 99%

Design Guidelines for Wireless Sensor Network Architectures in mHealth Mobile Patient Monitoring Scenarios

et al. 2015

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Abstract. Mobile patient monitoring has been widely recognized as a viable solution to improve the quality of patient care and decrease health care costs. Depending on the mobile patient monitoring scenario and the patient pathology, it may be necessary to monitor different bio-physiological variables by means of specialized sensors. The information collected by these sensors is sent to the healthcare provider for its analysis, processing, and storage. Thus, the collected data can be used for remote diagnosis, ambulatory patient monitoring and to trigger emergency services. In mobile patient monitoring systems it is common to use wireless network technologies to transmit the data generated by the sensors, thus defining a wireless sensor network (WSN). The implementation of the WSN is not a trivial task, as different application scenarios have different requirements in terms of the number of variables to monitor, the number of supported users, mobility, data loss tolerance, power consumption, and coverage range, among others. All these requirements must be considered when designing the WSN architecture to be used in a particular mobile patient monitoring system.There are several network architectures and wireless technologies that can be used for the implementation of WSNs in mobile patient monitoring scenarios. Thus, the main wireless technologies that can be used for this purpose are reviewed within this chapter. Then, the advantages and disadvantages offered by homogeneous and heterogeneous WSN architectures are discussed and analyzed by comparing performance metrics for a particular application scenario. Lastly, several guidelines for the proper design of WSN architectures in mHealth mobile patient monitoring scenarios are provided.

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Section: Introduction To Mhealth Mobile Patient Monitoring Architecturesmentioning

confidence: 99%

Design Guidelines for Wireless Sensor Network Architectures in mHealth Mobile Patient Monitoring Scenarios

et al. 2015

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“…The literature on mobile-based medical decision support has been steadily increasing, while important studies on mobile diabetes monitoring have been published in patient care or health-care settings (Chatterjee et al 2009, Junglas et al 2009, Sneha and Varshney 2013, Wu et al 2011. In contrast, much of the research in the medical informatics deals with clinical trials.…”

Section: Mobile Diabetes Monitoringmentioning

confidence: 99%

“…Among the various alternative telemedicine systems, mobile health monitoring has been receiving increasing attention in recent years (Chatterjee et al 2009, Junglas et al 2009, Sneha and Varshney 2013, Wu et al 2011. A review of the diabetes self-monitoring industry by Chomutare et al (2001) found 101 applications on the online vendor markets, including those for insulin and medication recording, data export and communication, diet recording, and weight management.…”

Section: Introductionmentioning

confidence: 99%

Physicians’ motivations to use mobile health monitoring: a cross-country comparison

Okazaki

Castañeda

Sanz

et al. 2016

Behaviour & Information Technology

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While mobile device receives increasing attention as a practical tool to remotely check patients' health, little research has shed light on physicians' acceptance of this information and communication technology. This study attempts to fill this research gap by examining how Japanese and Spanish physicians perceive a series of factors associated with mobile diabetes monitoring acceptance, and whether any differences exist in these perceptions between the countries due to different levels of physician scarcity, which is operationalized as the number of physicians available per 10,000 population. The hypotheses were tested by empirical surveys in Japan and Spain. In total, 471 and 497 usable responses were obtained from Japanese and Spanish physicians, respectively. In both countries, physicians were likely to embrace clinical expectations (perceived value) and appreciate the ability to check patients' health remotely (ubiquitous control) as the main benefits of mobile diabetes monitoring. In terms of cross-country comparison, the influence of personal innovativeness on perceived value and ubiquitous control was stronger in Japan (greater physician scarcity), compared with Spain (less physician scarcity).

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“…In order to solve the wireless signal attenuation problem, a number of solutions have been proposed in research on this topic [19][20][21]. A comparison between different schemes [15,16,22] is shown in Table 2.…”

Section: Introductionmentioning

confidence: 99%

A New Energy Efficient and Reliable MedRadio Scheme Based on Cooperative Communication for Implanted Medical Devices

Hsu

Chiang

Yu³

et al. 2015

International Journal of Distributed Sensor Networks

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The most significant shortcoming of implanted devices is the battery life. With advanced technology, implanted devices can have the capability to communicate with other health-related devices, but this also means the energy consumption requirement is greater than ever. Less power consumption would extend the duration of the batteries of implanted medical devices. In this paper, an energy efficient and reliable communication service device scheme that does not require any modification to the existing wireless network structure or the implanted devices under consideration is proposed. The scheme is intended to save a target device's energy necessary for resending communication signals by introducing a neighbor group header node and cooperative (wearable) nodes. The simulation results show that the scheme would result in energy savings of 70 percent with one or two cooperative nodes as compared with the current best approach.

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A framework for enabling patient monitoring via mobile ad hoc network

Cited by 31 publications

References 21 publications

Design Guidelines for Wireless Sensor Network Architectures in mHealth Mobile Patient Monitoring Scenarios

Design Guidelines for Wireless Sensor Network Architectures in mHealth Mobile Patient Monitoring Scenarios

Physicians’ motivations to use mobile health monitoring: a cross-country comparison

A New Energy Efficient and Reliable MedRadio Scheme Based on Cooperative Communication for Implanted Medical Devices

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