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GTCS-Vagus Nerve Stimulator Automation Using Private IoT-Blockchain Smartcontract

G. Karthikeyan*, G. Kousalya

Coimbatore Institute of Technology, Coimbatore, India

* Corresponding Author: G. Karthikeyan. Email: email

Computer Systems Science and Engineering 2023, 44(2), 1325-1340. https://doi.org/10.32604/csse.2023.026356

Abstract

Generalized Tonic Clonic Seizure (GTCS) is a form of epileptic seizure in which a patient loses control over their entire body, ultimately leading to loss of consciousness. The Vagus Nerve Stimulator (VNS) is a tool/method for treating epileptic episodes that sends counter-electrical stimulations to the Vagus Nerve in order to mitigate epileptic signals from the brain. The machine is a stand-alone device that depends on human decision-making. The proposed framework uses an IoT and Blockchain oversight mechanism to augment the device's transparency. The system counteracts against false-activation by monitoring the patient's vitals through a smart watch and allows only legitimate use. The nominal operating threshold is determined by preprocessing inferences that include an 18-year-old GTCS epileptic patient and a data set of 281 non-GTCS epileptic patients. The proposed system functions as a dual control lock where the IoT system and the manually activation system work in tandem to activate the device. Based on the values sensed by the IoT device, the deployed system is able to make decisions and regulate the use of the VNS. The IoT-Blockchain framework is able to fully eradicate false activation by increasing accuracy and transparency, ensuring the device is used correctly and safely.

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Cite This Article

G. Karthikeyan and G. Kousalya, "Gtcs-vagus nerve stimulator automation using private iot-blockchain smartcontract," Computer Systems Science and Engineering, vol. 44, no.2, pp. 1325–1340, 2023.



cc This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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