Electromyogram Signal Analysis in Frequency Domain of Uterine Muscle Contraction During Childbirth
Journal Title: International Journal of Innovative Research in Advanced Engineering - Year 2017, Vol 0, Issue 0
Abstract
A research on signal processing in the uterine muscle contraction of normal birth mother was committed. The processed signals are the result of signal recording by electromyogram (EMG). EMG is used to detect the electrical potential generated by muscle cells when the muscle contraction and relaxation. Muscle electrical signals can be obtained through the installation of EMG electrodes placed on the skin surface of the normal birth maternal uterine muscle that its data signal would be taken. After this EMG data acquisition, then the signal processing was performed using MATLAB R2015b. Several steps were taken in this research are inputting signal, pre-processing signal by providing a band-pass filter (BPF) which then performed the domain signal change from the time domain into the frequency domain using Fast Fourier Transform (FFT). In the frequency domain, feature extraction was carried out to see information on the signals. Some characteristic parameters were observed in this research, those are the value of Mean Power (MNP), Mean Frequency (MNF), and Total Power (TTP). Results obtained from this research are; The first patient have an average of mean power of 0.019535, average of mean frequency of 133.6642, and average of total power of 5.861746. For the second patient, it has an average of mean power of 0.018487, average of mean frequency of 135.1483, and average of total power of 5.541304.
Authors and Affiliations
Niko Fahadi, Suryono Suryono, Djatmiko Endro Suseno
Keywords
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- EP ID EP175799
- DOI doi:10.7910/DVN/KGOXNE
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