Pub Date : 2014-11-01DOI: 10.1109/ICBME.2014.7043939
F. Manuchehrfar, A. Shamloo
Axon is a filament in neuronal system and axonal microtubules are bundles in axons. In axons, microtubules are coated with microtubule-associated protein tau, a natively unfolded profuse filamentous protein in the central nervous system. These proteins are responsible for the cross-linked structure of the axonal microtubule bundles. Through complimentary dimerization with other tau proteins, bridges are formed to nearby microtubules to create bundles. The transverse reinforcement of microtubules by cross-linking to the cytoskeleton has been shown to enhance their ability to bear compressive loads. Though microtubules are conventionally regarded as bearing compressive loads, in certain circumstances such as in traumatic stretch injury, they are placed in tension. We employ Standard Linear Solid, a viscoelastic model, to computationally simulate microtubules. This study investigates the dynamic response of two dimensional axonal microtubules under suddenly applied end forces. We obtain the results for steady state behavior of axonal microtubule for different forces.
{"title":"Three dimensional modeling of axonal microtubules","authors":"F. Manuchehrfar, A. Shamloo","doi":"10.1109/ICBME.2014.7043939","DOIUrl":"https://doi.org/10.1109/ICBME.2014.7043939","url":null,"abstract":"Axon is a filament in neuronal system and axonal microtubules are bundles in axons. In axons, microtubules are coated with microtubule-associated protein tau, a natively unfolded profuse filamentous protein in the central nervous system. These proteins are responsible for the cross-linked structure of the axonal microtubule bundles. Through complimentary dimerization with other tau proteins, bridges are formed to nearby microtubules to create bundles. The transverse reinforcement of microtubules by cross-linking to the cytoskeleton has been shown to enhance their ability to bear compressive loads. Though microtubules are conventionally regarded as bearing compressive loads, in certain circumstances such as in traumatic stretch injury, they are placed in tension. We employ Standard Linear Solid, a viscoelastic model, to computationally simulate microtubules. This study investigates the dynamic response of two dimensional axonal microtubules under suddenly applied end forces. We obtain the results for steady state behavior of axonal microtubule for different forces.","PeriodicalId":434822,"journal":{"name":"2014 21th Iranian Conference on Biomedical Engineering (ICBME)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128070493","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}
Pub Date : 2014-11-01DOI: 10.1109/ICBME.2014.7043900
A. Mousavi, H. Ehsani, M. Rostami
Providing an efficient mathematical model of the skeletal muscles which takes both computational efficiency and accuracy into account is a crucial factor in the simulations of multiple-muscle problems. Previous studies stated that ignoring the elastic characteristics of the tendon can reduce the time cost of simulations at the expense of introducing some minor errors if the ratio of tendon slack length to muscle optimum length is less than or equal to unity. The purpose of this paper was to test the precision, efficiency and numerical stability of this criterion for the muscles of the human body in their usual length excursions. In this regard two muscles of the upper extremity (Brachioradialis (BRD) long head of biceps (BICL)) and one from the lower extremity (soleus (SOL)) of the human body have been chosen. Two variations of a general Hill-based musculotendon model have been considered in this study. In the first one, using a nonlinear spring the elastic properties of the tendon has been incorporated into the model and in the second one, ignoring this properties, a constant length for the tendon has been assumed. The mean absolute error between the force profiles of the two models for BRD, BICL and SOL were 4.2, 12 and 13.1 respectively. Also rigid-tendon model was 7.3 to 9.5 times faster than compliant-tendon model using the implicit integrator. For BRD the outcomes of the two models, have similar trends and the discrepancies between the force profiles are negligible. However, the results obtained from the compliant-tendon model illustrate some numerical stability problems. In the second muscle, i.e. BICL, likewise BRD the trends of the force profiles are the same; however, the disparity among the outcomes of the two models have escalated. Likewise BRD, the rigid-tendon model required less computational time. Inspecting the results obtained for SOL, one can easily spot the significant differences between the outcomes of the two models. Considering the tendon slack length to the optimum muscle length ratio for the three mentioned musculotendon units, one can draw this conclusion that, in case this value is less than unity using the rigid-tendon model is recommended. If this value is not much greater than unity, like BICL, exploiting the rigid-tendon model will increase the computational efficiency in expense of contaminating the outcomes with some amounts of error. However, if this ratio is far from unity, like SOL, ignoring the length alterations in the tendon is not recommended.
{"title":"Compliant Vs. rigid tendon models: A simulation study on precision, computational efficiency and numerical stability","authors":"A. Mousavi, H. Ehsani, M. Rostami","doi":"10.1109/ICBME.2014.7043900","DOIUrl":"https://doi.org/10.1109/ICBME.2014.7043900","url":null,"abstract":"Providing an efficient mathematical model of the skeletal muscles which takes both computational efficiency and accuracy into account is a crucial factor in the simulations of multiple-muscle problems. Previous studies stated that ignoring the elastic characteristics of the tendon can reduce the time cost of simulations at the expense of introducing some minor errors if the ratio of tendon slack length to muscle optimum length is less than or equal to unity. The purpose of this paper was to test the precision, efficiency and numerical stability of this criterion for the muscles of the human body in their usual length excursions. In this regard two muscles of the upper extremity (Brachioradialis (BRD) long head of biceps (BICL)) and one from the lower extremity (soleus (SOL)) of the human body have been chosen. Two variations of a general Hill-based musculotendon model have been considered in this study. In the first one, using a nonlinear spring the elastic properties of the tendon has been incorporated into the model and in the second one, ignoring this properties, a constant length for the tendon has been assumed. The mean absolute error between the force profiles of the two models for BRD, BICL and SOL were 4.2, 12 and 13.1 respectively. Also rigid-tendon model was 7.3 to 9.5 times faster than compliant-tendon model using the implicit integrator. For BRD the outcomes of the two models, have similar trends and the discrepancies between the force profiles are negligible. However, the results obtained from the compliant-tendon model illustrate some numerical stability problems. In the second muscle, i.e. BICL, likewise BRD the trends of the force profiles are the same; however, the disparity among the outcomes of the two models have escalated. Likewise BRD, the rigid-tendon model required less computational time. Inspecting the results obtained for SOL, one can easily spot the significant differences between the outcomes of the two models. Considering the tendon slack length to the optimum muscle length ratio for the three mentioned musculotendon units, one can draw this conclusion that, in case this value is less than unity using the rigid-tendon model is recommended. If this value is not much greater than unity, like BICL, exploiting the rigid-tendon model will increase the computational efficiency in expense of contaminating the outcomes with some amounts of error. However, if this ratio is far from unity, like SOL, ignoring the length alterations in the tendon is not recommended.","PeriodicalId":434822,"journal":{"name":"2014 21th Iranian Conference on Biomedical Engineering (ICBME)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128967240","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}
Pub Date : 2014-11-01DOI: 10.1109/ICBME.2014.7043907
A. Mohammadi, M. S. Abadeh, Hamidreza Keshavarz
In this paper, an algorithm is presented for extracting fuzzy rules from the Breast Cancer dataset. To extract fuzzy rules, an imitation based evolutionary algorithm is used called Krill Herd (KH). The KH algorithm is converted to a binary algorithm here, and is used for the classification problem with innovation, named Binary Krill Herd-based Fuzzy Rule Miner (BKH-FRM). Choosing the best krill and local best of the Krills in each generation are performed according to a new multi-objective function. This algorithm achieves a higher accuracy than others with few rules and little sum of the rules lengths.
{"title":"Breast cancer detection using a multi-objective binary Krill Herd algorithm","authors":"A. Mohammadi, M. S. Abadeh, Hamidreza Keshavarz","doi":"10.1109/ICBME.2014.7043907","DOIUrl":"https://doi.org/10.1109/ICBME.2014.7043907","url":null,"abstract":"In this paper, an algorithm is presented for extracting fuzzy rules from the Breast Cancer dataset. To extract fuzzy rules, an imitation based evolutionary algorithm is used called Krill Herd (KH). The KH algorithm is converted to a binary algorithm here, and is used for the classification problem with innovation, named Binary Krill Herd-based Fuzzy Rule Miner (BKH-FRM). Choosing the best krill and local best of the Krills in each generation are performed according to a new multi-objective function. This algorithm achieves a higher accuracy than others with few rules and little sum of the rules lengths.","PeriodicalId":434822,"journal":{"name":"2014 21th Iranian Conference on Biomedical Engineering (ICBME)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116983148","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}
Pub Date : 2014-11-01DOI: 10.1109/ICBME.2014.7043911
S. Hatamikia, A. Nasrabadi, N. Shourie
In this research, we study the possibility of designing a mental-task based subject-independent Brain Computer Interface (BCI) using Electroencephalogram (EEG) signals. Due to major differences in the EEG signal of individuals during different mental tasks, designing a universal BCI seems impossible. Hence, almost all the previous studies concentrated on designing custom-based Brain Computer Interface systems (BCIs) which are appropriate to be used by only one particular subject. In order to overcome this limitation, this paper presents an efficient subject-independent procedure for EEG-based BCIs. The main aim of this research is to develop ready-to-use BCIs that can be applicable for all users. To achieve this goal, three feature extraction methods including Autoregressive modeling, Wavelet transform and Power spectral density were applied; then, a new method based on Genetic Algorithm (GA) wrapped Self Organization Map (SOM) feature selection was used to select the most related features with the use of leave-one-subject-out cross-validation strategy. According to the experimental results, the proposed algorithm based on GA wrapped SOM feature selection is an efficient method for designing subject-independent BCIs and is able to distinguished different cognitive tasks of different individuals, effectively.
{"title":"Plausibility assessment of a subject independent mental task-based BCI using electroencephalogram signals","authors":"S. Hatamikia, A. Nasrabadi, N. Shourie","doi":"10.1109/ICBME.2014.7043911","DOIUrl":"https://doi.org/10.1109/ICBME.2014.7043911","url":null,"abstract":"In this research, we study the possibility of designing a mental-task based subject-independent Brain Computer Interface (BCI) using Electroencephalogram (EEG) signals. Due to major differences in the EEG signal of individuals during different mental tasks, designing a universal BCI seems impossible. Hence, almost all the previous studies concentrated on designing custom-based Brain Computer Interface systems (BCIs) which are appropriate to be used by only one particular subject. In order to overcome this limitation, this paper presents an efficient subject-independent procedure for EEG-based BCIs. The main aim of this research is to develop ready-to-use BCIs that can be applicable for all users. To achieve this goal, three feature extraction methods including Autoregressive modeling, Wavelet transform and Power spectral density were applied; then, a new method based on Genetic Algorithm (GA) wrapped Self Organization Map (SOM) feature selection was used to select the most related features with the use of leave-one-subject-out cross-validation strategy. According to the experimental results, the proposed algorithm based on GA wrapped SOM feature selection is an efficient method for designing subject-independent BCIs and is able to distinguished different cognitive tasks of different individuals, effectively.","PeriodicalId":434822,"journal":{"name":"2014 21th Iranian Conference on Biomedical Engineering (ICBME)","volume":"131 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115297820","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}
Pub Date : 2014-11-01DOI: 10.1109/ICBME.2014.7043935
H. Haghighi, F. Abdollahi, Sahar Babaei, S. Gharibzadeh
In this study a modular control approach is used to provide target following ability for a patient eye suffering from downbeat nystagmus. To perform the task successfully, it is proposed to exploit the benefits of modular strategies. Therefore, vertical eye movements are decomposed to two distinct upward and downward motions, and the controller tries to dedicate each of them to one distinct module autonomously. By this way, target following task is apportioned between modules and each module's contribution is to learn and control one single subtask. Consequently, perfect target following, confirms the performance of the proposed approach.
{"title":"Compensation of downbeat nystagmus with a modular controller","authors":"H. Haghighi, F. Abdollahi, Sahar Babaei, S. Gharibzadeh","doi":"10.1109/ICBME.2014.7043935","DOIUrl":"https://doi.org/10.1109/ICBME.2014.7043935","url":null,"abstract":"In this study a modular control approach is used to provide target following ability for a patient eye suffering from downbeat nystagmus. To perform the task successfully, it is proposed to exploit the benefits of modular strategies. Therefore, vertical eye movements are decomposed to two distinct upward and downward motions, and the controller tries to dedicate each of them to one distinct module autonomously. By this way, target following task is apportioned between modules and each module's contribution is to learn and control one single subtask. Consequently, perfect target following, confirms the performance of the proposed approach.","PeriodicalId":434822,"journal":{"name":"2014 21th Iranian Conference on Biomedical Engineering (ICBME)","volume":"58 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126075340","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}
Pub Date : 2014-11-01DOI: 10.1109/ICBME.2014.7043883
R. Nateghi, H. Danyali, Mohammad SadeghHelfroush, Fattaneh Pourak Pour
Nowadays, pathologist grade breast cancer histopathology slides by microscopes based on Nottingham as an international standard. The mitotic counting is one of the three scoring criteria in Nottingham standard for breast cancer grading based on histopathology slide image studies. Large number of non-mitosis organs, which exists in histopathology slide tissue, is one of the most important challenges facing mitosis detection methods. In this paper, a system for automatic mitosis detection purpose from breast cancer histopathology slide images is proposed to aid pathologists for mitotic cells counting. In the proposed algorithm the number of non-mitosis candidates are defined as a cast function and by minimization using Genetic Optimization algorithm, the most of the non-mitosis candidates will be omitted. Then some features such as co-occurrence and run-length matrices and Gabor features are extracted from the rest of candidates and finally mitotic cells are classified using support vector machine (SVM) classifier. Experimental results demonstrate the efficiency of this method to detect mitotic cells in breast cancer histology images.
{"title":"Automatic detection of mitosis cell in breast cancer histopathology images using genetic algorithm","authors":"R. Nateghi, H. Danyali, Mohammad SadeghHelfroush, Fattaneh Pourak Pour","doi":"10.1109/ICBME.2014.7043883","DOIUrl":"https://doi.org/10.1109/ICBME.2014.7043883","url":null,"abstract":"Nowadays, pathologist grade breast cancer histopathology slides by microscopes based on Nottingham as an international standard. The mitotic counting is one of the three scoring criteria in Nottingham standard for breast cancer grading based on histopathology slide image studies. Large number of non-mitosis organs, which exists in histopathology slide tissue, is one of the most important challenges facing mitosis detection methods. In this paper, a system for automatic mitosis detection purpose from breast cancer histopathology slide images is proposed to aid pathologists for mitotic cells counting. In the proposed algorithm the number of non-mitosis candidates are defined as a cast function and by minimization using Genetic Optimization algorithm, the most of the non-mitosis candidates will be omitted. Then some features such as co-occurrence and run-length matrices and Gabor features are extracted from the rest of candidates and finally mitotic cells are classified using support vector machine (SVM) classifier. Experimental results demonstrate the efficiency of this method to detect mitotic cells in breast cancer histology images.","PeriodicalId":434822,"journal":{"name":"2014 21th Iranian Conference on Biomedical Engineering (ICBME)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114981987","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}
Pub Date : 2014-11-01DOI: 10.1109/ICBME.2014.7043891
Morteza Teymori, M. Karimi, N. Jamshidi, N. Soltani
Spinal Cord Injury is one of the most important issues of medical society in the world. Problems that the disabled encounter after the accident are significant, namely pressure sores, bone mineral density loss, and disorders in circulation system. The proposed design is a new standing wheelchair that helps the disabled overcome these problems. Affordability and manufacturing problems still exist. Finite element method analysis to find the proper material has been done. The structure is analyzed to obtain the data. The human body was segmented into 11 parts. The result are obtained using ANSYS structural analysis. Results revealed that Poly vinyl chloride can be used instead of stainless steel or aluminum alloy. This concept can change the future of wheelchair production. The mass production will definitely affect the price and the market.
{"title":"Assessment of a newly designed PVC standing wheelchair by finite element method","authors":"Morteza Teymori, M. Karimi, N. Jamshidi, N. Soltani","doi":"10.1109/ICBME.2014.7043891","DOIUrl":"https://doi.org/10.1109/ICBME.2014.7043891","url":null,"abstract":"Spinal Cord Injury is one of the most important issues of medical society in the world. Problems that the disabled encounter after the accident are significant, namely pressure sores, bone mineral density loss, and disorders in circulation system. The proposed design is a new standing wheelchair that helps the disabled overcome these problems. Affordability and manufacturing problems still exist. Finite element method analysis to find the proper material has been done. The structure is analyzed to obtain the data. The human body was segmented into 11 parts. The result are obtained using ANSYS structural analysis. Results revealed that Poly vinyl chloride can be used instead of stainless steel or aluminum alloy. This concept can change the future of wheelchair production. The mass production will definitely affect the price and the market.","PeriodicalId":434822,"journal":{"name":"2014 21th Iranian Conference on Biomedical Engineering (ICBME)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130969304","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}
Pub Date : 2014-11-01DOI: 10.1109/ICBME.2014.7043941
Mahrokh Khakzar, H. Pourghassem
In this paper, a rotation-invariant retina identification algorithm based on tessellation of frequency spectrum is developed. In this algorithm, the proposed tessellation scheme provides rotation invariant, multi resolution and optimized features with low computational for our retina identification algorithm. The proposed algorithm is structured in two parts namely feature extraction and decision making. First step is forming feature vectors by applying proposed tessellation scheme on frequency spectrum of vessel skeleton of retinal image. Then, a specific scenario is defined based on energy spectrum of vessels to identify each individual. Finally, Euclidean distance criterion is used to evaluate the accuracy of proposed tessellation scheme. Experimental results show that the proposed algorithm obtains the accuracy rate of 99.29 % in presence of rotation and multi resolution samples.
{"title":"A rotation invariant retina identification algorithm using tessellation-based spectral feature","authors":"Mahrokh Khakzar, H. Pourghassem","doi":"10.1109/ICBME.2014.7043941","DOIUrl":"https://doi.org/10.1109/ICBME.2014.7043941","url":null,"abstract":"In this paper, a rotation-invariant retina identification algorithm based on tessellation of frequency spectrum is developed. In this algorithm, the proposed tessellation scheme provides rotation invariant, multi resolution and optimized features with low computational for our retina identification algorithm. The proposed algorithm is structured in two parts namely feature extraction and decision making. First step is forming feature vectors by applying proposed tessellation scheme on frequency spectrum of vessel skeleton of retinal image. Then, a specific scenario is defined based on energy spectrum of vessels to identify each individual. Finally, Euclidean distance criterion is used to evaluate the accuracy of proposed tessellation scheme. Experimental results show that the proposed algorithm obtains the accuracy rate of 99.29 % in presence of rotation and multi resolution samples.","PeriodicalId":434822,"journal":{"name":"2014 21th Iranian Conference on Biomedical Engineering (ICBME)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132202045","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}
Pub Date : 2014-11-01DOI: 10.1109/ICBME.2014.7043945
R. Saber, M. Rostami, A. Ramezani, A. Tanbakoosaz
In this study we investigated a nonlinear and a traditional time domain technique to analyze postural control of a balance motion in Wushu. For this goal we implemented fractal dimension analysis as the nonlinear method by using Higuchi algorithm which calculate fractal dimension directly from time series of movement of center of pressure in two directions of anterior/posterior and medial/lateral. Range of motion of center of pressure excursion was calculated as the traditional measure in both directions. One elite group and one non-elite group of Wushu sportsmen participated in this research. We found that the nonlinear method is sensitive to the level of proficiency.
{"title":"Postural control assessment in Wushu by using fractal dimension analysis","authors":"R. Saber, M. Rostami, A. Ramezani, A. Tanbakoosaz","doi":"10.1109/ICBME.2014.7043945","DOIUrl":"https://doi.org/10.1109/ICBME.2014.7043945","url":null,"abstract":"In this study we investigated a nonlinear and a traditional time domain technique to analyze postural control of a balance motion in Wushu. For this goal we implemented fractal dimension analysis as the nonlinear method by using Higuchi algorithm which calculate fractal dimension directly from time series of movement of center of pressure in two directions of anterior/posterior and medial/lateral. Range of motion of center of pressure excursion was calculated as the traditional measure in both directions. One elite group and one non-elite group of Wushu sportsmen participated in this research. We found that the nonlinear method is sensitive to the level of proficiency.","PeriodicalId":434822,"journal":{"name":"2014 21th Iranian Conference on Biomedical Engineering (ICBME)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130142782","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}
Pub Date : 2014-11-01DOI: 10.1109/ICBME.2014.7043951
H. Yousefi, Shahbaz Askari, G. Dumont, Zoya J. R. Bastany
We present an automated method for decomposing EMG signals into their components, motor-unit action-potential (MUAP) trains based on short time Fourier transform STFT and wavelet transform. Since the number of MUAP classes composing the EMG signal, the number of MUAP's per class, their firing pattern, and the expected shape of the MUAP waveforms are unknown, the decomposition of real EMG signals into their constituent MUAP's and their classification into groups of similar shapes is a typical case of an unsupervised learning pattern recognition problem. The method is able to handle single-or multi-channel signals, recorded by concentric needle electrodes during low and moderate levels of muscular contraction. The method uses empirical features in STFT transform, shape and template of MU and CWT in order to decompose the signal to its original MUAP. Also the discrete wavelet transform has been acquired in early steps in order to eliminate the level of low amplitude noise in signal. We compare the output of the automated algorithm with manual decomposition and results seems quiet acceptable. The average success rate for the FCM with wavelet coefficients as features was 91.01 %.
{"title":"Automated decomposition of needle EMG signal using STFT and wavelet transforms","authors":"H. Yousefi, Shahbaz Askari, G. Dumont, Zoya J. R. Bastany","doi":"10.1109/ICBME.2014.7043951","DOIUrl":"https://doi.org/10.1109/ICBME.2014.7043951","url":null,"abstract":"We present an automated method for decomposing EMG signals into their components, motor-unit action-potential (MUAP) trains based on short time Fourier transform STFT and wavelet transform. Since the number of MUAP classes composing the EMG signal, the number of MUAP's per class, their firing pattern, and the expected shape of the MUAP waveforms are unknown, the decomposition of real EMG signals into their constituent MUAP's and their classification into groups of similar shapes is a typical case of an unsupervised learning pattern recognition problem. The method is able to handle single-or multi-channel signals, recorded by concentric needle electrodes during low and moderate levels of muscular contraction. The method uses empirical features in STFT transform, shape and template of MU and CWT in order to decompose the signal to its original MUAP. Also the discrete wavelet transform has been acquired in early steps in order to eliminate the level of low amplitude noise in signal. We compare the output of the automated algorithm with manual decomposition and results seems quiet acceptable. The average success rate for the FCM with wavelet coefficients as features was 91.01 %.","PeriodicalId":434822,"journal":{"name":"2014 21th Iranian Conference on Biomedical Engineering (ICBME)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114143201","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}
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