Abstract
The Internet of Medical Things (IoMT) in biomedical engineering is enhancing the precision, reliability, and efficiency of electronic devices in healthcare. Wearable IoMT devices, such as neurostimulation tools with various functions, enable the real-time transmission and analysis of patient sensory data. This data is collected, analyzed, and stored centrally. However, centralization poses risks such as single-point failures, data manipulation, and privacy issues. Blockchain (BC) technology, with its decentralized nature, can mitigate these risks. This study explores the feasibility of a non-invasive remote neurostimulation system using IoMT-based transcranial direct current stimulation (tDCS). We developed a hardware prototype of a tDCS device that can be controlled via an Android application over the internet. Our proposed framework addresses the challenges of IoMT-BC systems, fulfills the requirements of real-time remote patient monitoring, and integrates best practices from existing literature.
| Original language | English |
|---|---|
| Title of host publication | Artificial Intelligence for Blockchain and Cybersecurity Powered IoT Applications |
| Editors | Mariya Ouaissa, Mariyam Ouaissa, Zakaria Boulouard, Abhishek Kumar, Vandana Sharma, Keshav Kaushik |
| Place of Publication | New York |
| Publisher | CRC Press |
| Chapter | 12 |
| Pages | 209-225 |
| Number of pages | 17 |
| ISBN (Electronic) | 9781040265147 |
| ISBN (Print) | 9781032802381 |
| DOIs | |
| Publication status | E-pub ahead of print - 30 Dec 2024 |
| Externally published | Yes |