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Bakouri M, Alyami N, Alassaf A, Waly M, Alqahtani T, AlMohimeed I, Alqahtani A, Samsuzzaman M, Ismail HF, Alharbi Y. Sound-Based Localization Using LSTM Networks for Visually Impaired Navigation. Sensors (Basel) 2023; 23:4033. [PMID: 37112374 PMCID: PMC10145617 DOI: 10.3390/s23084033] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 02/19/2023] [Revised: 04/04/2023] [Accepted: 04/14/2023] [Indexed: 06/19/2023]
Abstract
In this work, we developed a prototype that adopted sound-based systems for localization of visually impaired individuals. The system was implemented based on a wireless ultrasound network, which helped the blind and visually impaired to navigate and maneuver autonomously. Ultrasonic-based systems use high-frequency sound waves to detect obstacles in the environment and provide location information to the user. Voice recognition and long short-term memory (LSTM) techniques were used to design the algorithms. The Dijkstra algorithm was also used to determine the shortest distance between two places. Assistive hardware tools, which included an ultrasonic sensor network, a global positioning system (GPS), and a digital compass, were utilized to implement this method. For indoor evaluation, three nodes were localized on the doors of different rooms inside the house, including the kitchen, bathroom, and bedroom. The coordinates (interactive latitude and longitude points) of four outdoor areas (mosque, laundry, supermarket, and home) were identified and stored in a microcomputer's memory to evaluate the outdoor settings. The results showed that the root mean square error for indoor settings after 45 trials is about 0.192. In addition, the Dijkstra algorithm determined that the shortest distance between two places was within an accuracy of 97%.
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Affiliation(s)
- Mohsen Bakouri
- Department of Medical Equipment Technology, College of Applied Medical Science, Majmaah University, Al-Majmaah 11952, Saudi Arabia
- Department of Physics, College of Arts, Fezzan University, Traghen 71340, Libya
| | - Naif Alyami
- Department of Medical Equipment Technology, College of Applied Medical Science, Majmaah University, Al-Majmaah 11952, Saudi Arabia
| | - Ahmad Alassaf
- Department of Medical Equipment Technology, College of Applied Medical Science, Majmaah University, Al-Majmaah 11952, Saudi Arabia
| | - Mohamed Waly
- Department of Medical Equipment Technology, College of Applied Medical Science, Majmaah University, Al-Majmaah 11952, Saudi Arabia
| | - Tariq Alqahtani
- Department of Medical Equipment Technology, College of Applied Medical Science, Majmaah University, Al-Majmaah 11952, Saudi Arabia
| | - Ibrahim AlMohimeed
- Department of Medical Equipment Technology, College of Applied Medical Science, Majmaah University, Al-Majmaah 11952, Saudi Arabia
| | - Abdulrahman Alqahtani
- Department of Medical Equipment Technology, College of Applied Medical Science, Majmaah University, Al-Majmaah 11952, Saudi Arabia
- Department of Biomedical Technology, College of Applied Medical Sciences in Al-Kharj, Prince Sattam Bin Abdulaziz University, Al-Kharj 11942, Saudi Arabia
| | - Md Samsuzzaman
- Department of Computer and Communication Engineering, Faculty of Computer Science and Engineering, Patuakhali Science and Technology, Patuakhali 6800, Bangladesh
| | - Husham Farouk Ismail
- Department of Biomedical Equipment Technology, Inaya Medical College, Riyadh 13541, Saudi Arabia
| | - Yousef Alharbi
- Department of Biomedical Technology, College of Applied Medical Sciences in Al-Kharj, Prince Sattam Bin Abdulaziz University, Al-Kharj 11942, Saudi Arabia
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Alqahtani A, Islam MT, Talukder MS, Samsuzzaman M, Bakouri M, Mansouri S, Almoneef T, Dokos S, Alharbi Y. Slotted Monopole Patch Antenna for Microwave-Based Head Imaging Applications. Sensors (Basel) 2022; 22:7235. [PMID: 36236334 PMCID: PMC9573509 DOI: 10.3390/s22197235] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/31/2022] [Revised: 09/19/2022] [Accepted: 09/21/2022] [Indexed: 06/16/2023]
Abstract
A modified monopole patch antenna for microwave-based hemorrhagic or ischemic stroke recognition is presented in this article. The designed antenna is fabricated on a cost-effective FR-4 lossy material with a 0.02 loss tangent and 4.4 dielectric constant. Its overall dimensions are 0.32 λ × 0.28 λ × 0.007 λ, where λ is the lower bandwidth 1.3 GHz frequency wavelength. An inset feeding approach is utilized to feed the antenna to reduce the input impedance (z = voltage/current). A total bandwidth (below -10 dB) of 2.4 GHz (1.3-3.7 GHz) is achieved with an effective peak gain of over 6 dBi and an efficiency of over 90%. A time-domain analysis confirms that the antenna produces minimal signal distortion. Simulated and experimental findings share a lot of similarities. Brain tissue is penetrated by the antenna to a satisfactory degree, while still exhibiting a safe specific absorption rate (SAR). The maximum SAR value measured for the head model is constrained to be equal to or below 0.1409 W/kg over the entire usable frequency band. Evaluation of theoretical and experimental evidence indicates the intended antenna is appropriate for Microwave Imaging (MWI) applications.
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Affiliation(s)
- Abdulrahman Alqahtani
- Department of Medical Equipment Technology, College of Applied, Medical Science, Majmaah University, Majmaah City 11952, Saudi Arabia
- Department of Biomedical Technology, College of Applied Medical Sciences in Al-Kharj, Prince Sattam Bin Abdulaziz University, Al-Kharj 11942, Saudi Arabia
| | - Mohammad Tariqul Islam
- Centre for Advanced Electronic and Communication Engineering, Department of Electrical, Electronic and Systems Engineering, Faculty of Engineering & Built Environment, Universiti Kebangsaan Malaysia (UKM), Bangi 43600, Malaysia
| | - Md Siam Talukder
- Department of Computer and Communication Engineering, Faculty of Computer Science and Engineering, Patuakhali Science and Technology, Patuakhali 8602, Bangladesh
| | - Md Samsuzzaman
- Department of Computer and Communication Engineering, Faculty of Computer Science and Engineering, Patuakhali Science and Technology, Patuakhali 8602, Bangladesh
| | - Mohsen Bakouri
- Department of Medical Equipment Technology, College of Applied, Medical Science, Majmaah University, Majmaah City 11952, Saudi Arabia
- Department of Physics, College of Arts, Fezzan University, Traghen City 71340, Libya
| | - Sofiene Mansouri
- Department of Biomedical Technology, College of Applied Medical Sciences in Al-Kharj, Prince Sattam Bin Abdulaziz University, Al-Kharj 11942, Saudi Arabia
- Laboratory of Biophysics and Medical Technologies, Higher Institute of Medical Technologies of Tunis, University of Tunis El Manar, Tunis 1068, Tunisia
| | - Thamer Almoneef
- Electrical Engineering Department, College of Engineering, Prince Sattam Bin Abdulaziz University, Al-Kharj 16278, Saudi Arabia
| | - Socrates Dokos
- Graduate School of Biomedical Engineering, University of New South Wales, Sydney, NSW 2052, Australia
| | - Yousef Alharbi
- Department of Biomedical Technology, College of Applied Medical Sciences in Al-Kharj, Prince Sattam Bin Abdulaziz University, Al-Kharj 11942, Saudi Arabia
- Graduate School of Biomedical Engineering, University of New South Wales, Sydney, NSW 2052, Australia
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Alqahtani A, Alabed A, Alharbi Y, Bakouri M, Lovell NH, Dokos S. A varying-radius cable equation for the modelling of impulse propagation in excitable fibres. Int J Numer Method Biomed Eng 2022; 38:e3616. [PMID: 35582823 DOI: 10.1002/cnm.3616] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/06/2021] [Revised: 04/01/2022] [Accepted: 05/06/2022] [Indexed: 06/15/2023]
Abstract
In this study, we present a varying-radius cable equation for nerve fibres taking into account the varying diameter along the neuronal segments. Finite element neuronal models utilising the classical (fixed-radius) and varying-radius cable formulations were compared using simple and realistic morphologies under intra- and extracellular electrical stimulation protocols. We found that the use of the classical cable equation to model intracellular neural electrical stimulation exhibited an error of 17% in a passive resistive cable model with abrupt change in radius from 1 to 2 μm, when compared to the known analytical solution and varying-radius cable formulation. This error was observed to increase substantially using more realistic neuron morphologies and branching structures. In the case of extracellular stimulation however, the difference between the classical and varying-radius formulations was less pronounced, but we expect this difference will increase under more complex stimulation paradigms such as high-frequency stimulation. We conclude that for computational neuroscience applications, it is essential to use the varying-radius cable equation for accurate prediction of neuronal responses under electrical stimulation.
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Affiliation(s)
- Abdulrahman Alqahtani
- Department of Medical Equipment Technology, College of Applied Medical Science, Majmaah University, AL-Majmaah, Saudi Arabia
| | - Amr Alabed
- Graduate School of Biomedical Engineering, UNSW Sydney, Sydney, New South Wales, Australia
| | - Yousef Alharbi
- Department of Medical Equipment Technology, College of Applied Medical Sciences, Prince Sattam Bin Abdulaziz University, Al-Kharj, Saudi Arabia
| | - Mohsen Bakouri
- Department of Medical Equipment Technology, College of Applied Medical Science, Majmaah University, AL-Majmaah, Saudi Arabia
| | - Nigel H Lovell
- Graduate School of Biomedical Engineering, UNSW Sydney, Sydney, New South Wales, Australia
| | - Socrates Dokos
- Graduate School of Biomedical Engineering, UNSW Sydney, Sydney, New South Wales, Australia
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Aboamer MA, Elgohary DH, Almukil AA, Aboamer AA, Alarifi IM, Bakouri M, Rahman Mohamed NA. A comparative study of mechanical behavior of ABS material based on UVC sterilization for medical usage. J Mech Sci Technol 2022; 36:3373-3385. [PMCID: PMC9258472 DOI: 10.1007/s12206-022-0616-6] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/01/2021] [Revised: 02/12/2022] [Accepted: 03/07/2022] [Indexed: 01/15/2024]
Abstract
This study aims to examine the mechanical properties of acrylonitrile butadiene styrene specimens using ASTM 638, 695, and 790. UVC radiation was also used as a sterilizing method. The fused deposition modeling of 3D-printed polymerize with 30% filling was used to manufacture 30 specimens for tensile, compression, and bending. Half of the specimens were treated with UVC, whereas the other half were not. The chosen dosage of 13.5 J/cm2 with an exposure time of 48 min corresponds to 3650 sterilization treatments or 10 years of sterilization. The average ultimate stress in the tensile test, compression test, and bending test was 34.5 ± 7.4, 25.4 ± 0.5, and 24.5 ± 2.1 Mpa, respectively. The analysis of variance test shows that UVC radiation has a demonstrable influence on tensile specimens, with a P-value of 0.012, which is less than the significance threshold of 0.05. Thus, the null hypothesis is rejected.
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Affiliation(s)
- Mohamed A. Aboamer
- Department of Medical Equipment Technology, College of Applied Medical Sciences, Majmaah University, Majmaah, 11952 Saudi Arabia
| | - Doaa H. Elgohary
- Department of Spinning and Weaving Engineering, Institute of Textile Research and Technology, National Research Centre, 33 El Bohouth St., Dokki, P.O.12622, Cairo, Egypt
| | - Ali Abdullah Almukil
- Department of Medical Equipment Technology, College of Applied Medical Sciences, Majmaah University, Majmaah, 11952 Saudi Arabia
| | - Ahmed A. Aboamer
- Department of Dairy Sciences, Institute of Food Industries and Nutrition Research National Research Centre, 33 El-Buhouth Street, Dokki, Giza, Egypt
| | - Ibrahim M. Alarifi
- Department of Mechanical and Industrial Engineering, College of Engineering, Majmaah University, Al-Majmaah, Riyadh, 11952 Saudi Arabia
- Engineering and Applied Science Research Center, Majmaah University, Al-Majmaah, Riyadh, 11952 Saudi Arabia
| | - Mohsen Bakouri
- Department of Medical Equipment Technology, College of Applied Medical Sciences, Majmaah University, Majmaah, 11952 Saudi Arabia
- Department of Physics, College of Arts, Fezzan University, Traghen, 71340 Libya
| | - Nader A. Rahman Mohamed
- Biomedical Engineering Department, Faculty of Engineering, Misr University for Science and Technology (MUST), Giza, Egypt
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Albalawi O, Alharbi Y, Bakouri M, Alqahtani A, Alanazi T, Almutairi AZ, Alosaimi B, Mubarak A, Choudhary RK, Alturaiki W. Clinical characteristics and predictors of mortality among COVID-19 patients in Saudi Arabia. J Infect Public Health 2021; 14:994-1000. [PMID: 34153731 PMCID: PMC8192299 DOI: 10.1016/j.jiph.2021.06.005] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2021] [Revised: 05/26/2021] [Accepted: 06/03/2021] [Indexed: 01/19/2023] Open
Abstract
BACKGROUND The new coronavirus disease (COVID-19) has caused more than 1.8 million deaths, with a fatality rate of 2.5% in more than 200 countries as of January 4, 2021. Analysis of COVID-19 clinical features can help predict disease severity and risk of mortality, early identification of high-risk patients, and provide knowledge to inform clinical interventions. OBJECTIVE The purpose of this study is to investigate the clinical characteristics and possible predictors associated with mortality in patients with COVID-19 admitted to King Fahad (KFH), Ohood, and Miqat hospitals in Madina, Saudi Arabia. METHODS This retrospective observational study to investigate the clinical characteristic and possible predictors associated with mortality for those 119 mild, moderate, or critically ill patients confirmed by laboratory results to have COVID-19 who were admitted to three hospitals in Madina, Saudi Arabia, from March 25, 2020, to July 30, 2020. Data were collected from December 1, 2020, to December 14, 2020. RESULTS Of the 119 patients included in the study, the mean age was 54.2 (±15.7) years, with 78.2% survivors and 21.8% non-survivors. The demographic analysis indicated that the likelihood of mortality for patients in the older age group (i.e., ≥65 years) was five times higher than those in the younger age group (OR = 5.34, 95% CI 1.71-16.68, p = 0.004). The results also indicated those patients who admitted to the intensive care unit (ICU) was approximately seven times higher odds of mortality compare with those who were not admitted (OR = 6.48, 95% CI 2.52-16.63, p < 0.001). In addition, six laboratory parameters were positively associated with the odds of mortality: white blood cell count (OR = 1.11, 95% CI 1.02-1.21, p = 0.018), neutrophil (OR = 1.11, 95% CI 1.02-1.22, p = 0.020), creatine kinase myocardial band (OR = 1.02, 95% CI 1.00-1.03, p = 0.030), C-reactive protein (OR = 1.01, 95% CI 1.00-1.01, p = 0.002), urea (OR = 1.06, 95% CI 1.01-1.11, p = 0.026), and lactate dehydrogenase (OR = 1.00, 95% CI 1.00-1.01, p = 0.020). CONCLUSIONS In this cohort, COVID-19 patients within the older age group (≥65 years) admitted to the ICU with increased C-reactive protein levels in particular, were associated with increased odds of mortality. Further clinical observations are warranted to support these findings and enhance the mapping and control of this pandemic.
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Affiliation(s)
- Olayan Albalawi
- Department of Statistic, Faculty of Science, University of Tabuk, Tabuk 47512, Saudi Arabia.
| | - Yousef Alharbi
- Department of Medical Equipment Technology, College of Applied Medical Sciences, Prince Sattam Bin Abdulaziz University, Al-Kharj 16278, Saudi Arabia.
| | - Mohsen Bakouri
- Department of Medical Equipment Technology, College of Applied, Medical Science, Majmaah University, Majmaah City 11952, Saudi Arabia; Department of Physics, College of Arts, Fezzan University, Traghen City 71340, Libya; Health and Basic Sciences Research Center, Majmaah University, Majmaah 11952, Saudi Arabia.
| | - Abdulrahman Alqahtani
- Department of Medical Equipment Technology, College of Applied, Medical Science, Majmaah University, Majmaah City 11952, Saudi Arabia.
| | - Thamer Alanazi
- Department of Pathology and Laboratory Medicine, King Abdullah Bin Abdulaziz University Hospital, PNU, Riyadh, Saudi Arabia.
| | | | - Bandar Alosaimi
- Department of Research Labs, Research Center, King Fahad Medical City, Riyadh 11525, Saudi Arabia.
| | - Ayman Mubarak
- Department of Botany and Microbiology, College of Science, King Saud University, Riyadh, Saudi Arabia.
| | - Ranjay K Choudhary
- Department of Medical Laboratory Sciences, College of Applied Medical Sciences, Majmaah University, Majmaah 11952, Saudi Arabia.
| | - Wael Alturaiki
- Department of Medical Laboratory Sciences, College of Applied Medical Sciences, Majmaah University, Majmaah 11952, Saudi Arabia.
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Punarselvam E, Sikkandar MY, Bakouri M, Prakash NB, Jayasankar T, Sudhakar S. RETRCATED ARTICLE: Different loading condition and angle measurement of human lumbar spine MRI image using ANSYS. J Ambient Intell Human Comput 2021; 12:4991-5004. [DOI: 10.1007/s12652-020-01939-7] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/03/2020] [Accepted: 03/28/2020] [Indexed: 08/29/2023]
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Abstract
The real issue with the COVID-19 pandemic is that a rapidly increasing number of patients with life-threatening complications are admitted in hospitals and are not well-administered. Although a limited number of patients use the intensive care unit (ICU), they consume medical resources, safety equipment, and enormous equipment with little possibility of rapid recovery and ICU discharge. This work reviews effective methods of using filtration devices in treatment to reduce the level of various inflammatory mediators and discharge patients from the ICU faster. Extracorporeal technologies have been reviewed as a medical approach to absorb cytokines. Although these devices do not kill or remove the virus, they are a promising solution for treating patients and their faster removal from the ICU, thus relieving the bottleneck.
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Affiliation(s)
- Khaled Al Shareef
- Department of Medical Equipment Technology, College of Applied Medical Science, Majmaah University, Majmaah, Saudi Arabia
| | - Mohsen Bakouri
- Department of Medical Equipment Technology, College of Applied Medical Science, Majmaah University, Majmaah, Saudi Arabia,
- Department of Physics, College of Arts, Sebha University, Traghen, Libya,
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Abstract
In this study, the physiological control algorithm using sliding mode control method is implemented to track the reference input signal. The controller is developed using feed‐forward part, reference model, and steady‐state flow estimator. The proposed control method is evaluated using a dynamic heart‐pump interaction model incorporating descriptions of the cardiovascular system – rotary blood pump. The immediate response of the controller to preload as well as afterload was studied. Stability and feasibility of the control system were demonstrated through the tests. The results showed that the present controller, which allows the left ventricular to automatically adjust to the right ventricular output, reduces the risk of suction.
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Affiliation(s)
- Mohsen Bakouri
- Department of Physics, College of Science, Sebha University, Address, Traghen City, Libya.
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Van Linthoudt D, Bakouri M. [What is your diagnosis? Cushing syndrome]. Praxis (Bern 1994) 2011; 100:285-288. [PMID: 21365558 DOI: 10.1024/1661-8157/a000513] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/30/2023]
Affiliation(s)
- D Van Linthoudt
- Service de Rhumatologie, Département de Médecine, Hôpital neuchâtelois, La Chaux-de-Fonds.
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