QoS in Telemedicine

Malindi, P.

doi:10.5772/20240

Cited by 10 publications

(2 citation statements)

References 28 publications

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“…These latencies are external factors that are always present in these systems and play important roles. Latency not only strongly influences the availability, but also the consistency and data quality [4].…”

Section: Telemedicine Web Systemsmentioning

confidence: 99%

A graph-based data quality analysis in distributed telemedicine systems

Jánki

2022

Pollack

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Telemedicine is one of the most rapidly developing areas of healthcare and it plays an increasing role in modern medicine. As the amount of data and demand for features increase, the data paths are becoming ever-more complex. Owing to this, it is vital in telemedicine to find a proper balance between consistency and availability under any given circumstances. However, making a trade-off can significantly influence the quality of the data. This study seeks to get an in-depth view of the problem by considering a real-world telemedicine use-case and elaborating the formal system specification of the scenario. After evaluating the specification, the constructed state graph is examined using graph coloring and other graph algorithms.

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Section: Telemedicine Web Systemsmentioning

confidence: 99%

A graph-based data quality analysis in distributed telemedicine systems

Jánki

2022

Pollack

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“…Quality of Service (QoS) gives the overall performance of a service. Phumzile Malindi [20] collected the demanded requirements of network parameters after taking into account different telemedicine areas. These parameters were throughput, delay, jitter and context.…”

Section: Related Workmentioning

confidence: 99%

Taxonomy for Trade-off Problem in Distributed Telemedicine Systems

Jánki

Bilicki

2021

Acta Cybern

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Increasing amount of data and demands for features are challenging for Web systems. By serving these requirements, distributed systems gather ground, however they bring problems along. These issues are already present in telemedicine. Since telemedicine is a wide discipline, various phenomena have different effects on data. Availability and consistency have both important roles in telemedicine, but as CAP and PACELC theorems addressed trade-off problem, no one can guarantee both capabilities simultaneously. Our research aims to get a nearer view of the problem considering real world telemedicine use-cases and offer an easily tunable system with a taxonomy that gives a helping hand at designing telemedicine systems. Model checking verifies and data quality measurement proves the correctness of our model. In the course of measurements, we revealed an interesting occurence and consequence that is called hypothetical-zero-latency.

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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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QoS in Telemedicine

Cited by 10 publications

References 28 publications

A graph-based data quality analysis in distributed telemedicine systems

A graph-based data quality analysis in distributed telemedicine systems

Taxonomy for Trade-off Problem in Distributed Telemedicine Systems

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

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