The following information was submitted:
Transactions: WSEAS TRANSACTIONS ON BIOLOGY AND BIOMEDICINE
Transactions ID Number: 28-245
Full Name: Vojko Glaser
Position: Assistant
Age: ON
Sex: Male
Address: Zg. Hoèe 28 b, 2311 Hoèe
Country: SLOVENIA
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E-mail address: vojko.glaser@uni-mb.si
Other E-mails: vojko.glaser@gmail.com
Title of the Paper: Decomposition of Synthetic Surface Electromyograms Using Sequential Convolution Kernel Compensation
Authors as they appear in the Paper: Vojko Glaser, Aleš Holobar, Damjan Zazula
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Number of paper pages: 10
Abstract: This paper reveals a sequential decomposition method based on Convolution Kernel Compensation (CKC). It operates in real time and can decompose linear mixtures of finite-length signals. Multiple-input multiple-output (MIMO) signal model is used with finite channel responses and trains of delta pulses as inputs. Our approach compensates the channel responses and reconstructs the input pulse trains in real time, when samples of the observed signals become available. Two versions of the sequential decomposition were tested: sample-by-sample and multiple sample input. The time complexity of the two approaches, is analytically evaluated and supported by the experimental measurements. Performance tests on the synthetic surface electromyograms (sEMG) provide estimations of average rate and standard deviation of the reconstructed pulse trains for single motor units (MU).
Keywords: Compound signal decomposition, Surface electromyogram, Real-time signal processing, Sherman-Morrison-Woodbury matrix inversion, Sequential convolution kernel compensation
EXTENSION of the file: .doc
Special (Invited) Session: Sequential Convolution Kernel Compensation with Block Input
Organizer of the Session: 595-558
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