Volume 24, Issue 2
Editorial
Editorial Board Announcement
Reaction of the Editorial Board of the Int J Bioautomation Concerning a Signal for a Violation of Copyright and Ethical Rules
High-performance Control for a Nonlinear Biotechnological Process Based-on Adaptive Gain Sliding Mode Strategy103-116
Semcheddine Bouyahia, Samia Semcheddine, Billel Talbi, Oussama Boutalbi
Semcheddine Bouyahia, Samia Semcheddine, Billel Talbi, Oussama Boutalbi (2020) High-performance Control for a Nonlinear Biotechnological Process Based-on Adaptive Gain Sliding Mode Strategy, Int J Bioautomation, 24 (2), 103-116, doi: 10.7546/ijba.2020.24.2.000595
Abstract: The production of biogas in anaerobic fermentation is one of the most important interests in industrial applications for two main reasons: the elimination of organic waste and the production of renewable energy. The mentioned biotechnological process, which takes place inside of a continuous stirred tank bioreactor (CSTB), is described in this study by a two-step reaction scheme based on a second-order nonlinear model. After describing the dynamical model of the considered system, an adaptive gain sliding mode control (AGSMC) algorithm is proposed to regulate the concentration of some pollutants in a waste treatment process at a predefined constant (low) level. The stability is shown by the Lyapunov theory and the control action used did not exhibit any chattering behaviour. Several simulation results are provided to validate the proposed strategy and illustrate the overall performance improvements.

Keywords: Nonlinear systems, Biotechnological process, Adaptive gain sliding mode control, Stability
Relapse Risk Prediction for Children with Henoch-Schönlein Purpura Based on GA-SVM117-130
Yijun Liu, Beihong Wang, Renpu Li, Sheng He, Haixu Xi, Ye Luo
Yijun Liu, Beihong Wang, Renpu Li, Sheng He, Haixu Xi, Ye Luo (2020) Relapse Risk Prediction for Children with Henoch-Schönlein Purpura Based on GA-SVM, Int J Bioautomation, 24 (2), 117-130, doi: 10.7546/ijba.2020.24.2.000608
Abstract: The relapse risk prediction for children with Henoch-Schönlein purpura can help pediatricians make an accurate prognosis and offer personalized and appropriate follow-up nursing and relapse control to patients. In this study, we propose a Genetic algorithm- Support vector machine (GA-SVM) learning method combining the support vector machine with the genetic algorithm for parameter optimization to capture the nonlinear mapping from a panel of biomarkers to the relapse risk of HSP children. The GA-SVM prediction model is created by using the dataset of 40 samples in clinical treatment and observation of patients. The inputs of the model consist of 19 biomarkers including gender, age, immunoglobulin M, immunoglobulin G, immunoglobulin A, prothrombin time, etc. The outputs consist of 1 and -1, where 1 indicates high relapse risk and -1 indicates low relapse risk. For comparison, the GS-SVM prediction model based on parameter optimization of grid search is also created. The experimental results show that the GA-SVM prediction model has a high prediction accuracy of 90% and is strong in generalization ability. The GA-SVM model for predicting the relapse risk of HSP children is a promising decision support tool of clinical prognosis, which provides pediatricians with valuable assistance to offer rehabilitation treatment to patients.

Keywords: Henoch-Schönlein purpura, Support vector machine, Genetic algorithm, Prediction of relapse risk.
Robust Tracking Control for the Non-isothermal Continuous Stirred Tank Reactor131-142
Sana Bzioui, Rafik Channa
Sana Bzioui, Rafik Channa (2020) Robust Tracking Control for the Non-isothermal Continuous Stirred Tank Reactor, Int J Bioautomation, 24 (2), 131-142, doi: 10.7546/ijba.2020.24.2.000615
Abstract: A non-isothermal continuous stirred tank reactor (CSTR) is the most important element of chemical industrial equipment which is characterized by a highly nonlinear behavior. It is a multi-input multi-output (MIMO) nonlinear systems exposed to disturbances. The operation of the non-isothermal CSTR can be disturbed by its uncertain parameter such as variation in heat reaction. Therefore, the two difficult problems in CSTR control are tracking trajectory and disturbance attenuation. In this paper, a robust H fuzzy tracking control via Takagi-Sugeno (T-S) model is designed to robustly stabilize the non-isothermal CSTR system for both concentration and temperature affected by disturbances. T-S fuzzy model approach is proposed to derive the nonlinear model of the CSTR to several local linear models. A parallel distributed compensation control law is used to stabilize the closed-loop system. Linear matrix inequality conditions are derived for analyzing regional robust stability and performance based on Lyapunov function, and an H criterion is employed to guarantee the attenuation of disturbances. In trajectory tracking framework, an integral action is introduced as a new state variable. Finally, a comparative study between H controller and linear quadratic regulator (LQR) controller is made. Simulation results show that the proposed H controller ensures an asymptotic stability and guarantees highly robustness against changes in reaction heat with a good trajectory tracking. The H controller gives better performance than the classical LQR controller.

Keywords: Takagi-Sugeno fuzzy model, Parallel distributed compensation, H-infinity, Linear quadratic regulator, Continuous stirred tank reactor, Bioprocess
Pattern Visual Evoked Potentials and Glaucoma143-152
Elena Mermeklieva
Elena Mermeklieva (2020) Pattern Visual Evoked Potentials and Glaucoma, Int J Bioautomation, 24 (2), 143-152, doi: 10.7546/ijba.2020.24.2.000730
Abstract: Aim: The aim of the study was to explore the informativity of pattern visual evoked potentials (PVEPs) as an objective method for detection of early changes in the visual analyzer (VA) function in patients with preperimetric glaucoma. Material and methods: A group of 83 people was studied, of whom 36 patients with preperimetric glaucoma and 47 healthy individuals as controls. Full ophthalmological examination, standard automated perimetry (SAP), optical coherent tomography (OCT) and PVEPs were performed. The main variables that were considered in the results analysis were the latency (L), amplitude (A) and amplitude ratio (AR), reflecting the configuration of the wave forms. Statistical analysis was performed with IBM SPSS Statistics 23.0 statistical package. Results: The comparative analysis between the PVEPs components values of patients from both groups demonstrated significant differences in the latencies of components P50, P100, N145 and P200 in central stimulation (15°). No significant differences were found in the paracentral stimulation (30°). The latencies of the glaucoma patients were longer than those of the controls. When we compared the PVEPs amplitudes in both groups we did not find statistically significant differences. They were found in the amplitude ratio "P50-N75 / N75-P100" in the central stimulation. Conclusion: PVEPs could be used as an objective method for registration of early changes in the VA function in preperimetric glaucoma, before the presence of any functional changes in SAP and significant structural changes at OCT, and also to monitor the changes in dynamics as they are non-invasive, harmless, fast and repeatable.

Keywords: Visual evoked potentials, Glaucoma, Optical coherent tomography
Multi-type Arrhythmia Classification: Assessment of the Potential of Time and Frequency Domain Features and Different Classifiers153-172
Irena Jekova, Giovanni Bortolan, Todor Stoyanov, Ivan Dotsinsky
Irena Jekova, Giovanni Bortolan, Todor Stoyanov, Ivan Dotsinsky (2020) Multi-type Arrhythmia Classification: Assessment of the Potential of Time and Frequency Domain Features and Different Classifiers, Int J Bioautomation, 24 (2), 153-172, doi: 10.7546/ijba.2020.24.2.000743
Abstract: Atrial fibrillation (AF) is associated with significant risk of heart failure and consequent death. Its episodic appearance, the wide variety of arrhythmias exhibiting irregular AF-like RR intervals and noises accompanying the ECG acquisition, impede the reliable AF detection. Therefore, the Computing in Cardiology Challenge 2017 organizers encourage the development of methods for classification of short, single-lead ECG as AF, normal sinus rhythm (NSR), other rhythm (OR), or noisy signal (NOISE). This study presents a set of 118 time and frequency domain feature including descriptors of the RR and PP intervals; QRS and P-wave amplitudes; ECG behavior within the TQ intervals, deviation of the TQ and PQRST segments from their first principle component analysis vector; dominant frequency; regularity index, width and area of the power spectrum estimated for the ECG signal with eliminated QRS complexes. Three classification techniques have been applied over the 118 ECG features – linear discriminant analysis (LDA), classification tree (CT) and neural network (NN) approach. The scores over a test subset are: (i) FNSR = 0.81; FAF = 0.61; FOR = 0.53, F1 = 0.65 for CT, which is the most simple model; (ii) FNSR = 0.82; FAF = 0.62; FOR = 0.53, F1 = 0.66 for LDA, which is the model with the most reproducible accuracy results; (iii) FNSR = 0.86; FAF = 0.74; FOR = 0.57, F1 = 0.72 for NN, which is the most accurate model.

Keywords: Normal sinus rhythm, Atrial fibrillation, Other rhythm, Noise, Neural network, Classification tree, Linear discriminant analysis
Impact of Safflower Seed Oil on Serum Lipid Level and Immunocompetence of Rats173-184
Jianxia Guo, Fang Chen, Xue Wen
Jianxia Guo, Fang Chen, Xue Wen (2020) Impact of Safflower Seed Oil on Serum Lipid Level and Immunocompetence of Rats, Int J Bioautomation, 24 (2), 173-184, doi: 10.7546/ijba.2020.24.2.000791
Abstract: Hypolipidemic, antioxidant and immune activities of safflower seed oil (SSO) were carried out to ascertain the claim of its utilization against diseases. High cholesterol fed diet rats exhibited a significant increase in total plasma lipid and atherogenicity and a significant decrease in high-density lipoproteins (HDL). Administration of linoleic acid is purified by safflower seed oil (LSO) or linoleic acid (LA) to hypercholesterolemic rats (LSO and LA groups, respectively) significantly ameliorated lipid parameters. Furthermore, malondialdehyde levels decreased and the efficiency of antioxidant defense system was improved compared to hypercholesterolemic group. Liver histological sections showed lipid storage in hepatocytes of hyperlipemia model group and an improvement was noted in both LSO and LA groups. Compared with three groups of LA, the level of tumor necrosis factor α (TNF-α) in high-fat diet with middle dose of LSO group was significantly increased. The current results suggested that LSO and LA have antiatherogenic immunity enhancement and hepatoprotective effects and the efficacy of LSO in lowering blood lipid and enhancing immunity is better than that of LA. LSO is worth further development and utilization.

Keywords: Safflower seed oil, Linoleic acid, Hyperlipidemia, Immune activity
RF Output Signal Commutation in Multi-channel Electrosurgical Unit185-198
Kiril Ivanov, Ivo Iliev
Kiril Ivanov, Ivo Iliev (2020) RF Output Signal Commutation in Multi-channel Electrosurgical Unit, Int J Bioautomation, 24 (2), 185-198, doi: 10.7546/ijba.2020.24.2.000711
Abstract: This article reviews the existing problems with the output power commutation in electrosurgical units (ESU) in cases of multi-channel configuration, with requirement for high speed commutation rate between connectors, including in active mode. Attention is drawn to the methods for transmitting the output power to different outputs. A new type of output signal management based on the use of magnetic amplifiers is proposed. The proposed hardware solution is preliminary simulated and tested with PSpice A/D (Cadence product). The achieved results are analyzed and commented. Tests also are performed with physically realized device and the results are analyzed and evaluated in context of applicability in multi-channel ESU as well as in sterilization equipment.

Keywords: RF output control, Electrosurgery, ESU, Magnetic amplifier (MAG AMP)
An Ultrawideband Planar Elliptical Slotted Patch Antenna without any Matching Liquid for Biomedical Application199-208
Fnu Mansoor, Saeed I. Latif
Fnu Mansoor, Saeed I. Latif (2020) An Ultrawideband Planar Elliptical Slotted Patch Antenna without any Matching Liquid for Biomedical Application, Int J Bioautomation, 24 (2), 199-208, doi: 10.7546/ijba.2020.24.2.000617
Abstract: The design and analysis of a planar ultra-wideband elliptical slotted patch antenna for application in breast microwave radar system is presented in this paper. It is modelled in front of a breast phantom of cylindrical shape. No matching liquid is used in this model. A novel partial ground plane with protrusions on two sides is used for achieving good matching without any coupling medium. For effective signal penetration, a low frequency band of operation is selected. The antenna has a wide impedance bandwidth operating from around 1.8 GHz to 6.9 GHz or higher. A parametric study is conducted to understand the effects of important parameters on the antenna performance and to develop some design guidelines. The fabricated prototype was tested in the presence of a breast phantom. The transmission response of the antenna was also measured, which shows reduced transmission loss compared to a previous study since the antenna is in the air. The measured results are in good agreement with simulated data. This antenna can be used in a microwave imaging system for radar based breast cancer detection, where wide impedance bandwidth is required.

Keywords: Ultra-wideband antenna (UWB), Elliptical slotted patch, Matching material, Printed antennas, Wide impedance bandwidth

Sponsored by National Science Fund of Bulgaria, Grant No KP-06-NP/1/13, 2019

© 2020, BAS, Institute of Biophysics and Biomedical Engineering