Smart IoT-Enabled Cloud-Fuzzy System for Remote Monitoring of Infected Patients

Tungal, Aditika; Singh, Kuldeep; Singh, Prabhsimran; Simintiras, Antonis C.

doi:10.1007/978-3-031-50192-0_32

Cited by 1 publication

(4 citation statements)

References 22 publications

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“…The realization of the prototype underlined the need to adopt new protection techniques to protect and safeguard personal data. New encryption and operator authentication technologies had to be implemented in compliance with current privacy protection regulations, such as the General Data Protection Regulation (GDPR) [22,23]. Such measures are indispensable for preserving valuable patient health resources that IoT devices detect.…”

Section: Validation and Resultsmentioning

confidence: 99%

“…Devices with realtime notification capabilities enable timely intervention in case of anomalies in patient data, while telemedicine platforms integrated with messaging and video-consulting capabilities offer direct and personalized communication. This improved interactivity allows treatments to be tailored to the specific needs of patients, adapting therapies promptly based on their responses, as noted in [23,28]. Despite its innumerable benefits, integrating IoT into telemedicine poses significant challenges regarding data security and privacy.…”

Section: Proposed Approachmentioning

confidence: 99%

“…Safeguarding sensitive patient data is paramount and requires the adoption of advanced encryption protocols and compliance with privacy regulations. These critical issues are the focus of debates and research in this area, as reported in [21,23,27].…”

Section: Proposed Approachmentioning

confidence: 99%

“…The IoT, comprising an interconnected network of smart devices, sensors, and data processing systems, enables real-time data collection, analysis, and sharing, revolutionizing spa care and providing new opportunities to improve patient experience and treatment effectiveness [20,21]. The spread of IoT in the context of community medicine and telemedicine opens up new avenues for local health monitoring and management, enabling more accessible and personalized health care [22,23].…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Integrating the Internet of Things (IoT) in SPA Medicine: Innovations and Challenges in Digital Wellness

Casillo,

Cecere,

Colace

et al. 2024

Computers

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Integrating modern and innovative technologies such as the Internet of Things (IoT) and Machine Learning (ML) presents new opportunities in healthcare, especially in medical spa therapies. Once considered palliative, these therapies conducted using mineral/thermal water are now recognized as a targeted and specific therapeutic modality. The peculiarity of these treatments lies in their simplicity of administration, which allows for prolonged treatments, often lasting weeks, with progressive and controlled therapeutic effects. Thanks to new technologies, it will be possible to continuously monitor the patient, both on-site and remotely, increasing the effectiveness of the treatment. In this context, wearable devices, such as smartwatches, facilitate non-invasive monitoring of vital signs by collecting precise data on several key parameters, such as heart rate or blood oxygenation level, and providing a perspective of detailed treatment progress. The constant acquisition of data thanks to the IoT, combined with the advanced analytics of ML technologies, allows for data collection and precise analysis, allowing real-time monitoring and personalized treatment adaptation. This article introduces an IoT-based framework integrated with ML techniques to monitor spa treatments, providing tailored customer management and more effective results. A preliminary experimentation phase was designed and implemented to evaluate the system’s performance through evaluation questionnaires. Encouraging preliminary results have shown that the innovative approach can enhance and highlight the therapeutic value of spa therapies and their significant contribution to personalized healthcare.

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Section: Validation and Resultsmentioning

confidence: 99%

Section: Proposed Approachmentioning

confidence: 99%