Setiawan, Florentinus Budi and Siswanto, - Electromyography (EMG) Signal Compression using Sinusoidal Segmental Model. Electromyography (EMG) Signal Compression using Sinusoidal Segmental Model.
![[img]](http://repository.unika.ac.id/style/images/fileicons/text.png) |
Text
58119941502015G1_paper icitacee 15d.pdf Restricted to Registered users only Download (307kB) |
Abstract
Muscle signal called electromyography signal have a positive-negative signal generated by MUAP. The number of MUAP is depens opn trhe muscl;e activity. On the stresses muscle, the characteristics is lkie periodic signal. Based on its characteristic, we can be modeled this by sinusoidal model. On the sinusoidal model, there are many kinds for representing the signal. One of model is Segmental Sinusoidal model. EMG signal can be represented as a combination of sinuuuuuuuuuuusoidal signal which was generated by muscle system with infinite combination of amplitude, frequency and phase. On quantization based on peak to peak, EMG signal was detected its peaks, both of positive and negative. Then time distance between peak to peak would be quantized In this paper, we proposed a new method to quantize and recontruct ECG signal which segmented by peak to peak based on sinusoidal model. The part of signal between positive peak and following negative peak or vice versa was estimated as a half period of the sinusoid signal.Magnitude between pekas was the double of the estimated sine amplitude. The information which taken from quantization process were period and gain. The experiments result show that synthesis signal quality was reduced on the high frequency component.
| Item Type: | Article |
|---|---|
| Divisions: | Faculty of Engineering > Department of Electrical Engineering |
| Depositing User: | ms F. Dewi Retnowati |
| Date Deposited: | 24 Nov 2020 04:04 |
| Last Modified: | 24 Nov 2020 04:04 |
| URI: | http://repository.unika.ac.id/id/eprint/22312 |
Actions (login required)
 |
View Item |
