2020 27th National and 5th International Iranian Conference on Biomedical Engineering (ICBME)最新文献_第5页

Continuous Estimation of Knee Joint Angle during Squat from sEMG using Artificial Neural Networks 用人工神经网络从表面肌电信号中连续估计深蹲时膝关节角度

2020 27th National and 5th International Iranian Conference on Biomedical Engineering (ICBME) Pub Date : 2020-11-26 DOI: 10.1109/ICBME51989.2020.9319429

Alireza Rezaie Zangene, Ali Abbasi

{"title":"Continuous Estimation of Knee Joint Angle during Squat from sEMG using Artificial Neural Networks","authors":"Alireza Rezaie Zangene, Ali Abbasi","doi":"10.1109/ICBME51989.2020.9319429","DOIUrl":"https://doi.org/10.1109/ICBME51989.2020.9319429","url":null,"abstract":"The purpose of this research was to continuous knee joint angle estimation from sEMG during squat using artificial neural networks. sEMG signals of vastus medialis, rectus femoris, biceps femoris and 3D kinematics of lower extremity joints for four participants during squat were captured at 1500 Hz and 100 Hz, respectively. sEMG signals were preprocessed and RMS and variance were extracted as input features. The processed input data was given to a three-layer feed forward neural network with one hidden layer. The proposed network was trained by the Levenberg-Marquardt algorithm. The root mean square error (RMSE) and correlation coefficient (CC) were used to evaluate the accuracy of estimation. The results showed that this network is able to continuously estimate the knee joint angle with global RMSE of 5.0041° ± 0.9963° and CC of 0.9898 ± 0.0039. It concludes that a multilayer neural network with a simple structure has the ability to continuously estimate the joint angle from sEMG data while performing an athletic movement under real loading situation.","PeriodicalId":120969,"journal":{"name":"2020 27th National and 5th International Iranian Conference on Biomedical Engineering (ICBME)","volume":"118 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122225379","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 7

Comparison of kinematics coordination of lower extremity between Elit and Professional athletes during roundhouse kick using modified vector coding technique 利用改进向量编码技术对精英运动员与职业运动员回旋踢下肢运动协调性进行比较

2020 27th National and 5th International Iranian Conference on Biomedical Engineering (ICBME) Pub Date : 2020-11-26 DOI: 10.1109/ICBME51989.2020.9319422

Mahdi Heydari, A. Nazari, A. Tanbakoosaz

{"title":"Comparison of kinematics coordination of lower extremity between Elit and Professional athletes during roundhouse kick using modified vector coding technique","authors":"Mahdi Heydari, A. Nazari, A. Tanbakoosaz","doi":"10.1109/ICBME51989.2020.9319422","DOIUrl":"https://doi.org/10.1109/ICBME51989.2020.9319422","url":null,"abstract":"The aim of this study was to compare the kinematic coordination of the lower extremity between elite and professional athletes during Roundhouse kick using a modified vector coding technique. For this purpose, 20 wushu sanda athletes (10 elite and 10 professionals) participated in the study voluntarily. The kinematic data were recorded by lower limb plug in gait biomechanical model and the 12-camera VICON motion capture system. After processing the data, the coordination of the lower limb joints on the sagittal plane was calculated using the vector coding method in MATLAB software. Independent t-test was used for statistical analysis. The findings showed that in ankle and knee coordination, antiphase pattern with more ankle dominancy, in knee and hip coordination, antiphase pattern with knee dominancy, and in hip and pelvic coordination, antiphase pattern with hip dominancy increased in elite athletes. The results of this study showed that the elite athletes, in performing the Roundhouse kick as an open kinematics chain movement, performed the movement transition from the upper joint to the lower joint more optimally. Also, they can support lower joint with a movement reduction in the upper one and perform the movement effectively.","PeriodicalId":120969,"journal":{"name":"2020 27th National and 5th International Iranian Conference on Biomedical Engineering (ICBME)","volume":"74 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127159755","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Mechanical Characterization of Expanded Polystyrene (EPS) as a Liner Foam in Motorcycle Helmets 发泡聚苯乙烯(EPS)作为摩托车头盔内衬泡沫材料的力学特性

2020 27th National and 5th International Iranian Conference on Biomedical Engineering (ICBME) Pub Date : 2020-11-26 DOI: 10.1109/ICBME51989.2020.9319446

Nasim Rahmanifar, F. Eskandari, M. Shafieian

{"title":"Mechanical Characterization of Expanded Polystyrene (EPS) as a Liner Foam in Motorcycle Helmets","authors":"Nasim Rahmanifar, F. Eskandari, M. Shafieian","doi":"10.1109/ICBME51989.2020.9319446","DOIUrl":"https://doi.org/10.1109/ICBME51989.2020.9319446","url":null,"abstract":"Helmet is the most effective personal protective equipment for motorcyclists that can significantly reduce the risk of skull fracture and traumatic brain injuries. The performance of the helmets is evaluated using a drop-weight impact tower test. Due to restrictions to access the drop tower test assembly in many low-income countries, evaluation of helmet performance is a major challenge. The current study aimed to develop a simple biomechanical method to help the assessment of motorcycle helmets without employing sophisticated test setups. Since liner foam is the main component of the helmets that can absorb the impact energy, the viscoelastic properties of expanded polystyrene (EPS), as a most commonly used foam in the helmets, were characterized. A simple lumped model of the head and the helmet was developed to characterize the head linear acceleration under impact condition. The results of the current study showed that the value of head injury criteria (HIC) was less than the maximum acceptable value for the standard. Also, the results of scanning electron microscopy (SEM) showed that EPS foam which has experienced 10% compressive strain could recover after loading; indicating that the motorcycle helmet contained EPS as a liner foam could pass the safety standards.","PeriodicalId":120969,"journal":{"name":"2020 27th National and 5th International Iranian Conference on Biomedical Engineering (ICBME)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127343733","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Eliminating Back Relaxation in Large-Deformable IPMC Artificial Muscles: A Noise-Assistive Pattern-Free Electrode Approach 消除大变形IPMC人工肌肉的背部松弛:一种噪音辅助无模式电极方法

2020 27th National and 5th International Iranian Conference on Biomedical Engineering (ICBME) Pub Date : 2020-11-26 DOI: 10.1109/ICBME51989.2020.9319432

Mohsen Annabestani, M. Sayad, Pouria Esmaeili-Dokht, Razieh Gorji, M. Fardmanesh

引用次数: 7

Controller Design for Left Ventricular Assist Devices in Patients with Heart Failure 心力衰竭患者左心室辅助装置的控制器设计

2020 27th National and 5th International Iranian Conference on Biomedical Engineering (ICBME) Pub Date : 2020-11-26 DOI: 10.1109/ICBME51989.2020.9319420

Marjan Khaledi, M. Dehghani, Mohsen Mohammadi, Roozbeh Abolpour

{"title":"Controller Design for Left Ventricular Assist Devices in Patients with Heart Failure","authors":"Marjan Khaledi, M. Dehghani, Mohsen Mohammadi, Roozbeh Abolpour","doi":"10.1109/ICBME51989.2020.9319420","DOIUrl":"https://doi.org/10.1109/ICBME51989.2020.9319420","url":null,"abstract":"In recent years, heart transplantation has been considered a suitable method for heart failure (HF), a significant cardiovascular disease. Heart failure often means chronic heart failure or congestive heart failure. In this case, the heart is unable to pump enough blood to the vital organs. Usually, heart failure occurs on the left side of the heart that pumps blood throughout the body. No one can ever deny the impact of a left ventricular assist device (LVAD) as a bridge for recovery in the patient’s treatment process with congestive heart failure. In this paper, we aim to control the LVAD flow and the goal is to return the person to everyday life by using this assist device and control it perfectly. Since heart failure could occur if the pump speed is lower or higher than some thresholds, to prevent heart failure, the controller should provide an appropriate pump speed. This paper prohibits these ranges by designing a suitable controller that can track the flow of healthy heart behavior through a Frank-Starling-Like controller. The controller performance is evaluated by a simulated model of the heart and the results are satisfactory.","PeriodicalId":120969,"journal":{"name":"2020 27th National and 5th International Iranian Conference on Biomedical Engineering (ICBME)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116603597","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 5

Authentication of Individuals based on Wrist Vein Images by Extracting Phase of Fractional Fourier Transform 基于分数阶傅里叶变换相位提取的腕部静脉图像个体认证

2020 27th National and 5th International Iranian Conference on Biomedical Engineering (ICBME) Pub Date : 2020-11-26 DOI: 10.1109/ICBME51989.2020.9319453

Negar Massihi, S. Rashidi

引用次数: 0

Fabrication of nanomaterial-based biosensor for measurement of a microRNA involved in cancer 用于测量与癌症相关的微小rna的纳米材料生物传感器的制造

2020 27th National and 5th International Iranian Conference on Biomedical Engineering (ICBME) Pub Date : 2020-11-26 DOI: 10.1109/ICBME51989.2020.9319450

Homayoon Soleimani Dinani, Mehrab Pourmadadi, H. Rashedi, F. Yazdian

引用次数: 10

A Face Recognition Framework Based on the Integration of Eigenfaces Algorithm and Image Registration Technique 基于特征脸算法和图像配准技术的人脸识别框架

2020 27th National and 5th International Iranian Conference on Biomedical Engineering (ICBME) Pub Date : 2020-11-26 DOI: 10.1109/ICBME51989.2020.9319457

R. Movahed, M. Rezaeian, Sina Javadifar, Mohammadreza Alimoradijazi

{"title":"A Face Recognition Framework Based on the Integration of Eigenfaces Algorithm and Image Registration Technique","authors":"R. Movahed, M. Rezaeian, Sina Javadifar, Mohammadreza Alimoradijazi","doi":"10.1109/ICBME51989.2020.9319457","DOIUrl":"https://doi.org/10.1109/ICBME51989.2020.9319457","url":null,"abstract":"Today, face recognition systems play a crucial role in many access control and automatic identification systems. However, these systems still have shortcomings that reduce their performance efficiency. In this paper, a novel face recognition framework is introduced, combining the Eigenfaces algorithm and image registration. Firstly, the collected face images are preprocessed, then the Eigenfaces algorithm is applied to them for obtaining the reference eigenvectors. After that, three test images are captured using a webcam, and the images' faces are detected using the Viola-jones algorithm. The detected faces are registered to the collected face images, and the detected face with the lowest mean square error is selected for subsequent steps. Next, the selected detected face's eigenvector and the distance between it and reference eigenvectors are calculated, respectively. The minimum distance is then compared with a manual threshold to recognize the person as an unknown or known person. If the person is recognized as a known person, the person's identity is identified as the person belongs to the minimum distance. For validating the presented method, a public and an exclusive face image database are used. The obtained results indicate that the proposed framework achieved a better performance than traditional similarity-based methods to recognize known and unknown persons and identify known persons.","PeriodicalId":120969,"journal":{"name":"2020 27th National and 5th International Iranian Conference on Biomedical Engineering (ICBME)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121594463","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

A hybrid deep transfer learning based approach for COVID-19 classification in chest X-ray images 基于混合深度迁移学习的胸部x线图像COVID-19分类方法

2020 27th National and 5th International Iranian Conference on Biomedical Engineering (ICBME) Pub Date : 2020-11-26 DOI: 10.1109/ICBME51989.2020.9319426

K. Rezaee, Afsoon Badiei, S. Meshgini

{"title":"A hybrid deep transfer learning based approach for COVID-19 classification in chest X-ray images","authors":"K. Rezaee, Afsoon Badiei, S. Meshgini","doi":"10.1109/ICBME51989.2020.9319426","DOIUrl":"https://doi.org/10.1109/ICBME51989.2020.9319426","url":null,"abstract":"As a contagious disease originating from a novel coronavirus, COVID-19 leads to swollen air sacs in the lungs. It can be diagnosed using a chest X-ray (CXR) images, which is usually cheaper and less harmful than a CT scan and is always available in small or rural hospitals. X-ray machines, however, sometimes cannot diagnose COVID-19. Since the COVID-19 dataset is small and cannot be diagnosed from CXR, pre-trained neural networks can be employed for coronavirus diagnosis. This paper mainly aims to use pre-trained deep transfer learning (DTL) architectures and conventional machine learning (ML) models as an automated instrument to diagnose COVID-19 from CXRs. To overcome the lack of a large number of images, DTL is utilized to extract image features for better classification. Then, to optimize the decision-making level for infectious diseases similar to bacterial and viral pneumonia, the extracted features are selected and classified. Our proposed method was validated by creating a new CXR database from Vasei Hospital in Sabzevar, Iran. Our hybrid model achieved hit rates above 99% and outperformed for CXR of COVID-19 and similar pneumonia classification. Comparative analysis shows the superiority of the proposed COVID-19 classification model based on DTL over other competitive methods.","PeriodicalId":120969,"journal":{"name":"2020 27th National and 5th International Iranian Conference on Biomedical Engineering (ICBME)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126421189","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 20

A Novel, Low Cost and Versatile Fabrication Method of Flexible Multi-electrode Array for Spinal Cord Stimulation 一种新颖、低成本、多功能的脊髓刺激柔性多电极阵列制造方法

2020 27th National and 5th International Iranian Conference on Biomedical Engineering (ICBME) Pub Date : 2020-11-26 DOI: 10.1109/ICBME51989.2020.9319449

F. Shanehsazzadeh, Shahin Rouhi, Tala Ahmadvand, Mahrokh Namazi, S. Kiani, M. Fardmanesh

{"title":"A Novel, Low Cost and Versatile Fabrication Method of Flexible Multi-electrode Array for Spinal Cord Stimulation","authors":"F. Shanehsazzadeh, Shahin Rouhi, Tala Ahmadvand, Mahrokh Namazi, S. Kiani, M. Fardmanesh","doi":"10.1109/ICBME51989.2020.9319449","DOIUrl":"https://doi.org/10.1109/ICBME51989.2020.9319449","url":null,"abstract":"In this paper, a novel, low-cost multi-electrode array fabrication method has been proposed for epidural spinal cord stimulation (ESCS) to restore motion ability after paralysis due to spinal cord injury (SCI). In this approach, unlike the existing neural prosthesis technologies, costly standard microfabrication processes are eliminated. This makes the proposed electrodes cost-effective and suitable for massive production for clinical applications. Based on the conformability and mechanical compliance of the electrodes and spinal cord tissue, full polydimethylsiloxane (PDMS)-based passive multi-electrode array structure is proposed. The suggested neural electrode array structure consists of PDMS (as substrate) and embedded 100 μm-thick Cu wires (as conductive parts). Despite the fabrication and implementation challenges caused by the low Young modulus of PDMS, its suitable mechanical properties close to those of the spinal cord tissues make PDMS one of the best options. These electrodes were used along with pulse generator circuits providing biphasic pulse waveforms for two channels. Employing the ESCS system caused movement in the paralyzed limbs in an adult male Wistar rat. Our preliminary ESCS studies have shown that such electrode arrays are capable of neuronal stimulation effectively.","PeriodicalId":120969,"journal":{"name":"2020 27th National and 5th International Iranian Conference on Biomedical Engineering (ICBME)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127655149","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2