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Enhanced Electromyogram Signal Denoising Using Canonical Correlation Analysis Informed Variational Mode Decomposition / Saad Mahmood

TextIslamabad : SMME- NUST; 2024Description: 59p. ; Soft Copy 30cmSubject(s): MS Biomedical Engineering (BME)DDC classification: 610 Online resources: Click here to access online

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Item type	Current location	Home library	Shelving location	Call number	Status	Date due	Barcode	Item holds
Thesis	School of Mechanical & Manufacturing Engineering (SMME)	School of Mechanical & Manufacturing Engineering (SMME)	E-Books	610 (Browse shelf)	Available		SMME-TH-1086

Total holds: 0

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Previous	610 Investigating the Protective Effects of Phototherapy and various drugs in Alzheimer Disease /	610 Auditory spatial attention through transcranial direct current stimulation in bilinguals	610 Chrysoeriol as a Potential Therapeutic Agent for Alzheimer's Disease: Behavioral and Molecular Insights from a Mouse Model /	610 Enhanced Electromyogram Signal Denoising Using Canonical Correlation Analysis Informed Variational Mode Decomposition /	610 Leveraging Deep Neural Networks and Surface Electromyography for Real-Time Airwriting Gesture Recognition /	610 Exploring Psoriasis Treatment Efficacy and Cognitive Impairment in a Murine Model /	610 Effect of Tactile Stimulation on Visual Memory Performance /	Next

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