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Title:
BREZIZGUBNO IN IZGUBNO STISKANJE VEČKANALNIH POVRŠINSKIH ELEKTROMIOGRAMOV
Authors:
ID
Gaberšek, Davor
(
Author
)
ID
Holobar, Aleš
(
Mentor
)
More about this mentor...
Files:
MAG_Gabersek_Davor_2016.pdf
(3,10 MB)
MD5: E00D24FDED8C508142903A0930148040
Language:
Slovenian
Work type:
Master's thesis/paper
Typology:
2.09 - Master's Thesis
Organization:
FERI - Faculty of Electrical Engineering and Computer Science
Abstract:
V magistrskem delu podamo pregled izgubnih ter brezizgubnih stiskanj, ki bi se lahko uporabila za shranjevanje večkanalnih površinskih signalov EMG. Podrobneje preučimo posledice izgubnega stiskanja za izvedbo dekompozicije signalov EMG na prispevke posameznih motoričnih enot. Rezultata magistrske naloge sta prototip namizne aplikacije za stiskanje in razširjanje površinskih signalov EMG ter analiza uporabljenih metod stiskanja. Prototipna aplikacija omogoča odpiranje datotek s končnico OTB, branje metapodatkov o signalih iz pripadajočih datotek s končnico XML ter branje in pisanje vrednosti signalov iz in v datoteke s končnico SIG.
Keywords:
izgubno stiskanje
,
brezizgubno stiskanje
,
površinski elektromiogrami
,
analiza poglavitnih komponent
Place of publishing:
[Maribor
Publisher:
D. Gaberšek
Year of publishing:
2016
PID:
20.500.12556/DKUM-59349
UDC:
004.383.3:004.89(043.2)
COBISS.SI-ID:
19886614
NUK URN:
URN:SI:UM:DK:5MDDOBCW
Publication date in DKUM:
04.07.2016
Views:
1597
Downloads:
165
Metadata:
Categories:
KTFMB - FERI
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Secondary language
Language:
English
Title:
LOSSLESS AND LOSSY COMPRESSION OF MULTICHANNEL SURFACE ELECTROMYOGRAMS
Abstract:
In this thesis, we provide an overview of lossy and lossless compression methods that could be used for storing multichannel surface EMG signals. In particular, we provide the analysis of lossy compression impacts on the decomposition of EMG signals. The main results include a prototype of a desktop application for compression and decompression of surface EMG signals, and a short analysis of the used compression methods and their impact on decomposition of surface EMG signals. The application supports opening of OTB file types, reading of signal’s metadata from the corresponding XML files, and reading and writing of signal vales to and from SIG data files.
Keywords:
lossy compression
,
lossless compression
,
surface electromyograms
,
principal component analysis
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