Enhanced spectro-temporal feature extraction for prosthetic control using variational mode decomposition.

ABSTRACT: Rehabilitation systems play a vital role in improving the lifestyle of amputees or individuals with congenitally deficient limbs. However, the currently used pattern recognition techniques for different rehabilitation systems are highly noise sensitive. Inadequate feature extraction results in difficulty distinguishing similar gestures. Moreover, the implementation of previously proposed techniques on amputees is minimal. To address the issue of high sensitivity to noise, this study proposes a new spectro-temporal feature set for the enhanced implementation of rehabilitation systems. The efficacy of the proposed feature extraction technique was evaluated by comparing it with four other features aimed at addressing the broader applicability aspect. The Variational Mode Decomposition (VMD) o

SUBMITTER: Shafiq U 

PROVIDER: S-EPMC12727768 | biostudies-literature | 2025 Nov

REPOSITORIES: biostudies-literature