Analiza intenziteta površinskih mioelektričkih signala u vremensko-frekvencijskoj domeni korištenjem valićne transformacije

undergraduate thesis

• Title (english): Intensity analysis of surface myoelectric signals in time-frequency space by wavelet transform
• Author: Barbara Požar
• Mentor: Mario Cifrek (mentor)
• Committee member: Mario Cifrek (predsjednik povjerenstva)
• Committee member: Tomislav Pribanić (član povjerenstva)
• Committee member: Željka Lučev Vasić (član povjerenstva)
• Granter: University of Zagreb; Faculty of Electrical Engineering and Computing; Zagreb
• Defense date and country: 2014-09-05, Croatia
• Scientific / art field, discipline and subdiscipline: TECHNICAL SCIENCES; Computing
• Scientific / art field, discipline and subdiscipline: TECHNICAL SCIENCES; Electrical Engineering

Abstract

Signal dobiven površinskom elektromiografijom nosi iznimno puno informacija. Dio je moguće dobiti RMS analizom ili njegovim spektrom snage. Međutim, dio se također može dobiti analizom intenziteta. Primjenom filtarske banke od 10 valića možemo izdvojiti vremenskom-frekvencijske dijelove signala. Analizom intenziteta možemo jasno izdvojiti pojedine kontrakcije tijekom rada mišića i promatrati ih odvojeno.
Ovim radom se prikazuje razvoj analize intenziteta u programskom jeziku Matlab te primjena razvijene analize na sintetiziranom signalu i realnom EMG signalu.

Abstract (english)

Surface myoelectric signals carry a lot of valuable information. We are able to resolve it partly using root mean square analysis or using its power spectrum. However, part of it is possible to get using intensity analysis. We use filter bank of 10 wavelets to extract time-frequency aspects of the signal. Using intensity analysis we are able to precisely resolve particular events of the signal.
Using a computing package Matlab intensity analysis was developed and applied to synthesized signal and real EMG signal.

• Keywords: Površinska elektromiografija; EMG signal; valićna transformacija; intenzitet
• Keywords (english): Surface electromyography; EMG signal; wavelet transform; intensity
• Language: croatian
• URN:NBN: urn:nbn:hr:168:540712
• Study programme: Title: Electrical Engineering and Information Technology; Study programme type: university; Study level: undergraduate; Academic / professional title: sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka elektrotehnike i informacijske tehnologije (sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka elektrotehnike i informacijske tehnologije)
• Type of resource: Text
• File origin: Born digital
• Access conditions: Closed access
• Created on: 2018-02-06 11:25:06