Frequency Interception and Manipulation Vulnerabilities in Myoelectric-Computer Interface Signal Transmission

TR Number

Date

2025-04-14

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Journal ISSN

Volume Title

Publisher

Virginia Tech

Abstract

Despite extensive research on neural interfaces, limited studies address whether vulnerabilities exist within their framework and how these devices are secured. This work presents a cybersecurity outlook on neural interface signal transmission to encourage safety and data protection while assessing the impact of neural interface integration on the human condition.

Description

Keywords

Biomedical Engineering

Citation