High-fidelity EEG feature-engineered taxonomy for bruxism and PLMS prognostication through pioneering and avant-garde ML frameworks

High-fidelity EEG feature-engineered taxonomy for bruxism and PLMS prognostication through pioneering and avant-garde ML frameworks

Periodic Leg Movement during Sleep (PLMS) and Bruxism are linked with changes in EEG signal characteristics. This work applies machine learning and data mining approaches to examine these changes. Patients with PLMS and bruxism had nighttime EEG recordings to examine changes in brain activity. The f...

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Bibliographic Details
Main Authors: Shivam Tiwari, Deepak Arora, Barkha Bhardwaj
Format: Article
Language:English
Published: Elsevier 2025-06-01
Series:Measurement: Sensors
Subjects:
EEG
PLMS
Artificial intelligence
Data mining
Online Access:http://www.sciencedirect.com/science/article/pii/S2665917425000625
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