Network Architecture of Telemedicine System for Monitoring the Person’s Condition

Sokolova, A.V.; Buldakova, T. I.

doi:10.1109/summa53307.2021.9632199

Cited by 3 publications

(1 citation statement)

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“…And smart wearable devices usually have small storage capacity and computing power, which may limit the functionality and performance of the devices. With the development of science, architectures for building telemedicine are becoming more sophisticated, Sokolova et al [26] proposed a detailed network architecture for telemedicine systems used to monitor a person's condition. And with the development of cloud computing and fog computing, more and more privacy protection schemes have been proposed [27]- [31].…”

Section: Related Workmentioning

confidence: 99%

A Privacy-Preserving Remote Heart Rate Abnormality Monitoring System

Zhang,

Yang

2023

IEEE Access

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Heart rate arrhythmia is an important manifestation of common clinical cardiovascular diseases, posing a serious threat to human life and health. Due to its suddenness, insidiousness and rapid changes, it often causes patients to miss the best treatment time. Therefore, real-time monitoring of heart rate changes is particularly important to monitor and prevent the onset of such diseases. Nonetheless, heart rate information in telemedicine systems is often presented in plaintext, rendering it vulnerable to interception or tampering, and posing a substantial threat to users' privacy. To address this issue, we propose a privacypreserving remote heart rate abnormality monitoring system, which utilizes a privacy comparison protocol. By implementing a two-server model, the privacy comparison protocol ensures privacy not only during the comparison process but also in the resulting outcomes. During the monitoring process, the monitor is only able to obtain the final number of abnormalities of the patient's heart rate and cannot obtain information about the patient's original heart rate. This allows for a more rational and effective use of medical experts, so that patients can enjoy a high level and quality of service from medical experts without having to leave home. Finally, a detailed security analysis demonstrates that our scheme can effectively protect the privacy and security of patient medical data and hospital health indicators. And our experimental results show that our scheme is computationally efficient and the scheme is effective and feasible.

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Section: Related Workmentioning

confidence: 99%