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

dc.contributor.authorSzczesniak, Emmaen
dc.contributor.departmentBiomedical Engineeringen
dc.date.accessioned2025-07-25T17:19:29Zen
dc.date.available2025-07-25T17:19:29Zen
dc.date.issued2025-04-14en
dc.description.abstractDespite 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.en
dc.description.sponsorshipCollege of Engineeringen
dc.format.extentDimensions: 3840 × 2160en
dc.format.extentDuration: 00:04:58en
dc.format.extentSize: 292.9 MBen
dc.format.mimetypevideo/mp4en
dc.format.mimetypetext/vtten
dc.identifier.urihttps://hdl.handle.net/10919/136915en
dc.language.isoenen
dc.publisherVirginia Techen
dc.relation.ispartofseries2025 Paul E. Torgersen Award Winnersen
dc.rightsIn Copyrighten
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.subjectBiomedical Engineeringen
dc.titleFrequency Interception and Manipulation Vulnerabilities in Myoelectric-Computer Interface Signal Transmissionen
dc.typeVideoen
dc.typePresentationen
dc.type.dcmitypeMovingImageen

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