CRAIAug 31, 2023

IoMT-Blockchain based Secured Remote Patient Monitoring Framework for Neuro-Stimulation Device

arXiv:2308.16857v13 citationsh-index: 11
Originality Synthesis-oriented
AI Analysis

This addresses security and reliability issues in healthcare monitoring for patients using neuro-stimulation devices, but it appears incremental as it combines existing IoMT and blockchain concepts.

The paper tackles the problem of centralization vulnerabilities in remote patient monitoring for neuro-stimulation devices by proposing an IoMT-blockchain framework, resulting in a developed hardware prototype and android application for secure, real-time operation.

Biomedical Engineering's Internet of Medical Things (IoMT) is helping to improve the accuracy, dependability, and productivity of electronic equipment in the healthcare business. Real-time sensory data from patients may be delivered and subsequently analyzed through rapid development of wearable IoMT devices, such as neuro-stimulation devices with a range of functions. Data from the Internet of Things is gathered, analyzed, and stored in a single location. However, single-point failure, data manipulation, privacy difficulties, and other challenges might arise as a result of centralization. Due to its decentralized nature, blockchain (BC) can alleviate these issues. The viability of establishing a non-invasive remote neurostimulation system employing IoMT-based transcranial Direct Current Stimulation is investigated in this work (tDCS). A hardware-based prototype tDCS device has been developed that can be operated over the internet using an android application. Our suggested framework addresses the problems of IoMTBC-based systems, meets the criteria of real-time remote patient monitoring systems, and incorporates literature best practices in the relevant fields.

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