INTERNATIONAL JOURNAL OF SCIENTIFIC & TECHNOLOGY RESEARCH VOLUME 9, ISSUE 03, MARCH 2020 ISSN 2277-8616 Spectral Analysis Of Electrogastrogram

R.Chandrasekaran, T.R.Thamizhvani, A.Josephin Arockia Dhivya, R.J.Hemalatha

Abstract: is a condition that affects the normal motility of muscle in the and is commonly called as paralysis of stomach. Electrogastrography is the technique for measuring electrical activity of the stomach. The Electrogastrography is also used to measure the gastric mobility and various stomach disorders like tachy-gastria, brady-gastria, dyspepsia, peptic ulcer, gastric tumor etc. Electrogastro-gram is the graphical representation of the Electrogastrography. The Electrogastrography procedure is recommended by the physician to diagnose the dis orders in the stomach. Electrogastrography procedure is taken generally under two conditions: Fasting condition and post prandial condition. This procedure is followed strictly to measure the gastric activity and gastric emptying test. The food is propelled into the stomach and the pacemaker of the stomach fails to contract the muscles of stomach that leads to gastroparesis condition. The diabetic patients often get into the gastroparesis condition. This remains as a major factor; stomach motility is slowed down. In this paper, data acquisition system for acquiring multichannel electrogastrogram is developed and the gastric signal is acquired and analysed using MATLAB. Through the spectral analysis of gastric slow-wave, the gastroparesis condition is diagnosed. The MEGG-Multichannel Channel Electrogastrogram signal is acquired in two states: Fasting state and Postprandial state.

Keywords: MEGG (Multichannel Electrogastrogram); Gastroparesis; Spectral Analysis.

1. INTRODUCTION

Gastroparesis is a condition that affects the normal movement University. The correlation method gave 64% accuracy in of the muscle in the stomach. Diabetic gastroparesis is a very diagnosing the gastroparesis in subjects severe syndrome. which results in nutritional compromise, Yusuf Kayar et al (2015) performed Non-invasive single impaired - glucose control and poor quality of life. There are channel Electrogastrography on 15-healthy subjects reductions in the number of intrinsic inhibitory neurons that are and15-type 1 Diabetic subjects.They Correlated the single critical for motor coordination in patients with diabetes. An channel Electrogastrography with gastric emptying test results. Electrogastrogram (EGG) is used to measure the electrical The gastric emptying test was taken in nuclear medicine signal that travels through the muscles of the stomach. EGG is depart-ment in Bezmialem University, which involves the a non-invasive test which is inexpensive and easy to perform. nuclear imag-ing of posterior and anterior part of stomach The electrodes are placed on the abdominal skin over the using gamma camera [scintigraphy techniques]. Signal stomach. The electrodes start to record the electrical activity of analysis of single channel Elec-trogastrography involves Fast the stomach. Initially the gastric electrical activity is recorded at Fourier Transform and RSA Run-ning Spectral Analysis were an empty stomach, then again at postprandial state. EGG is analysed.Thus, tachygastria and bradygastria were observed and identified using the correlation results of done in conjunction with or after gastric emptying studies to electrogastrogram and gastric emptying test. diagnose and manage functional dyspepsia and idiopathic Gopu Govindasamy et al (2014), developed a temporary Gastroparesis. The Multichannel Electrogastrogram is used to gastric stimulator to treat earlysymptoms of gastric motility measure the electrical activity of the stomach. The system of disorders with minimal cost with the help of in-built camera acquiring. Filtering, gastric signal is designed. The frequency forguidance to get feasible through the , which spectrum of the gastric signal is analysed in MATLAB. reach thestomach and stimulate the Interstitial Cajal Cells. In order thatright amount of stimulation at the correct rate 2.LITERATURE SURVEY depending on thepatient’s condition is delivered, a continuous real time EGGmonitoring is performed. The gastric activity is Sukru okkesim et al (2016), performed line length feature improved byadjusting the voltage and ON-OFF intervals of the extrac-tion from the Electrogastrogram signal of 20 common stimulator. Waist belt technique also devel-oped to deliver healthy people and 20 diabetic patients. They have performed waves of adjustable range in anattempt to restore the normal recording of Electrogastrogram technique in fasting state as cycle. well as post pran-dial state. They proved that the line length P.T.V.Bhuvaneswari et al (2012)performed simulation of feature is useful in extracting dominant frequency of the signal. Electro-gastrogram signal analysis on healthy and abnormal Armen A.Gharibans et al (2016) presented the highresolution subjects with different stomach disorders using -stable (HR) EGG, which utilizes an array of electrodes toestimate the distribution model. The de-noising of the original signal is direction and speed of gastric slow-waves. The methodology performed using instrumenta-tion amplifier and second order were used on [8] healthy adults and calculated Butterworth Low Pass Filter. The Denoised EGG signal is used propagationdirections (181 ± 29 degrees) and speeds (3.7 ± to determine the power and frequen-cy the power spectral 0.5 mm/s) that are consistent with serosal recordings of density of processed signal is estimated using Welch and slow-waves were described.Abdullah al kafee et al (2015) Thomson multi-taper methods. Based on the power values, the performed recording Electrogastro-gram technique for 15 kind of disease is diagnosed. common healthy subjects and 15 diabetic subjects. Totally, they recorded for 90 minutes where 30 minutes of fasting state and 60 minutes of postprandial state. They have correlated the 3.METHODOLOGY Electrogastrogram with the gastric emptying test performed in In this paper, The system for acquisition of Multichannel the Nuclear Medicine Department in Bezmialem medical Electro-gastrogram is developed and used to acquire the 1534 IJSTR©2020 www.ijstr.org INTERNATIONAL JOURNAL OF SCIENTIFIC & TECHNOLOGY RESEARCH VOLUME 9, ISSUE 03, MARCH 2020 ISSN 2277-8616 gastric signals of the subject . The following hardware setup is used in the system for acquisition for Electrogastrography – Blood glucose level at Blood glucose level at post- Subject Age Electrodes, Filter, Dis-play device. Ag/Agcl electrode is used fasting state prandial state for recording of Electrogastrogram. It is of high-quality, fresh 1. Male 45 200 300 and disposable electrode. These electrodes provide direct 2. Male 49 100 320 current offset voltage, combined offset instability, alternating 3. Male 55 260 400 4. Male 47 330 500 current impedance defibrillation overload recovery and bias 5. Male 35 200 400 current tolerance . This system consists of four channels . One 6. Male 45 100 420 channel is used to filter out artefacts like muscle movements . 7. Male 45 260 480 The electrodes were positioned at the abdominal surface . 8. Male 45 300 520 Channel one on the fundic region. Channel two on the cardia 9. Male 46 250 500 10. region. Channel three on the pylorus region. Channel four on 46 280 550 the antral region. The amplification is done using the IC AD620, Male which is an Instrumentation amplifier. The main advantage of using this IC is it has low input voltage noise and open loop Table 2: Frequency of the EGG Signal gain increases with gain. Using this instrumentation amplifier Subjec Frequency at fast- Frequency at post- Gastric slow t the gain of 100db is obtained. Then low pass filter is designed ing state in Hz prandial state in Hz wave CPM of frequency of 0.5hz. The dominant frequency of EGG signal 1 0.05-0.35 0.05-0.4 3 lies between 0.1 to 0.5 hz. The acquired electrogastrogram 2 0.05-0.4 0.05-0.4 3 signal is plotted in MATLAB window and power spectral density 3 0.01-0.5 0.01-0.5 3 4 0.1-0.15 0.05-0.4 2 of gastric signal is calculated to compare the frequency of the 5 0.05-0.35 0.05-0.4 3 signal in fasting state and post-prandial state. 6 0.05-0.4 0.05-0.4 3 7 0.01-0.5 0.01-0.5 3 4.RESULTS AND DISCUSSION 8 0.05-0.45 0.05-0.4 2 9 0.01-0.5 0.01-0.5 3 In this paper the gastric signal is acquired using Multichannel 10 0.05-0.45 0.05-0.4 2 Electrogastrogram. The prototype designed to acquire the signal is used to pick the gastric signal from the subjects. The signals taken from the male subjects aged between 40-50 years. The PSD of the signals are analysed in MATLAB. The signal is acquired at fasting state at the time period of 0-10mins and at postprandial state at the time period of 0-10 mins. 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