Pub Date : 2018-09-28DOI: 10.2174/1875036201811010208
René Yáñez de la Rivera, M. Soto-Bajo, A. Fraguela-Collar
The estimation of fiducial points is specially important in the analysis and automatic diagnose of Electrocardiographic (ECG) signals.A new algorithm which could be easily implemented is presented to accomplish this task.Its methodology is rather simple, and starts from some ideas available in the literature combined with new approachs provided by the authors. First, aQRScomplex detection algorithm is presented based on the computation of energy maxima in ECG signals which allow the measurement of cardiac frequency (in beats per minute) and the estimation of R peaks temporal positions (in number of samples). From these ones, an estimation of fiducial points Q, S, J, P and T waves onset and offset points are worked out, supported in a simple modified slope method with constraints.The location process of fiducial points is assisted with the help of the so called curvature filters, which allow to improve the accuracy in this task.The procedure is simulated in Matlab and GNU Octave by using test signals from the MIT medical database, Cardiosim II equipment patterns and synthetic signals developed by the authors.One of the novelties of this work is the global strategy. Also, another significant innovation is the introduction of the curvature filters. We think this concept will prove to be a useful tool in signal processing, not only in ECG analysis.
{"title":"Electrocardiogram Fiducial Points Detection and Estimation Methodology for Automatic Diagnose","authors":"René Yáñez de la Rivera, M. Soto-Bajo, A. Fraguela-Collar","doi":"10.2174/1875036201811010208","DOIUrl":"https://doi.org/10.2174/1875036201811010208","url":null,"abstract":"The estimation of fiducial points is specially important in the analysis and automatic diagnose of Electrocardiographic (ECG) signals.A new algorithm which could be easily implemented is presented to accomplish this task.Its methodology is rather simple, and starts from some ideas available in the literature combined with new approachs provided by the authors. First, aQRScomplex detection algorithm is presented based on the computation of energy maxima in ECG signals which allow the measurement of cardiac frequency (in beats per minute) and the estimation of R peaks temporal positions (in number of samples). From these ones, an estimation of fiducial points Q, S, J, P and T waves onset and offset points are worked out, supported in a simple modified slope method with constraints.The location process of fiducial points is assisted with the help of the so called curvature filters, which allow to improve the accuracy in this task.The procedure is simulated in Matlab and GNU Octave by using test signals from the MIT medical database, Cardiosim II equipment patterns and synthetic signals developed by the authors.One of the novelties of this work is the global strategy. Also, another significant innovation is the introduction of the curvature filters. We think this concept will prove to be a useful tool in signal processing, not only in ECG analysis.","PeriodicalId":38956,"journal":{"name":"Open Bioinformatics Journal","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44362517","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 : 2018-08-31DOI: 10.2174/1875036201811010182
R. Pierneef, F. Clasen, Oliver Bezuidt, O. Reva
Horizontal gene transfer of mobile genetic elements is an essential component of prokaryotic evolution. These insertion events in eukaryotes and particularly in the human genome have been investigated by various methodologies with varying results. In this paper, we implement a sequence composition approach to investigate insertions of genomic islands in the human genome. A modified version of a prokaryotic GI identifier, SeqWord Gene Island Sniffer v.2.0, was used to predict genomic islands in the hg38 version of the human genome. Predicted genomic islands were enriched with long non-coding RNAs and also contributed to the acquisition and modification of proteins associated with the immune system and gonad development, albeit to a lesser extent. The estimated rate of acquisition of these genomic islands in vertebrate genomes was non-linear with regards to species divergence times with an acceleration at the time of vertebrate land invasion and during the transition of prosimians to monkeys soon after the Cretaceous-Paleogene extinction. The rapid acquisition of non-conserved long non-coding RNAs in the human genome and probably in vertebrata genomes was facilitated by horizontal gene transfer. All predicted human genomic islands and supporting information are freely accessible from http://hislands.bi.up.ac.za.
{"title":"Long Non-coding RNAs in the Human Genome Acquired by Horizontal Gene Transfer","authors":"R. Pierneef, F. Clasen, Oliver Bezuidt, O. Reva","doi":"10.2174/1875036201811010182","DOIUrl":"https://doi.org/10.2174/1875036201811010182","url":null,"abstract":"\u0000 \u0000 Horizontal gene transfer of mobile genetic elements is an essential component of prokaryotic evolution. These insertion events in eukaryotes and particularly in the human genome have been investigated by various methodologies with varying results.\u0000 \u0000 \u0000 \u0000 In this paper, we implement a sequence composition approach to investigate insertions of genomic islands in the human genome.\u0000 \u0000 \u0000 \u0000 A modified version of a prokaryotic GI identifier, SeqWord Gene Island Sniffer v.2.0, was used to predict genomic islands in the hg38 version of the human genome.\u0000 \u0000 \u0000 \u0000 Predicted genomic islands were enriched with long non-coding RNAs and also contributed to the acquisition and modification of proteins associated with the immune system and gonad development, albeit to a lesser extent. The estimated rate of acquisition of these genomic islands in vertebrate genomes was non-linear with regards to species divergence times with an acceleration at the time of vertebrate land invasion and during the transition of prosimians to monkeys soon after the Cretaceous-Paleogene extinction.\u0000 \u0000 \u0000 \u0000 The rapid acquisition of non-conserved long non-coding RNAs in the human genome and probably in vertebrata genomes was facilitated by horizontal gene transfer. All predicted human genomic islands and supporting information are freely accessible from http://hislands.bi.up.ac.za.\u0000","PeriodicalId":38956,"journal":{"name":"Open Bioinformatics Journal","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45233548","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 : 2018-08-31DOI: 10.2174/1875036201811010197
Sindhu Varghese, Ashok Palaniappan
The treatment of epilepsy using antiepileptogenic drugs is complicated by drug resistance, resulting in treatment failure in more than one-third of cases. Human P-glycoprotein (hPGP;MDR1) is a known epileptogenic mediator.Given that experimental investigations have suggested a role for pharmacogenetics in this treatment failure, it would be of interest to study hPGP polymorphisms that might contribute to the emergence of drug resistance. Changes in protein functional activity could result from mutations as well as altered abundance. Bioinformatics approaches were used to assess and rank the functional impact of 20 missenseMDR1polymorphisms and the top five were selected. The structures of the wildtype and variant hPGP were modelled based on the mouse PGP structure. Docking studies of the wildtype and variant hPGP with four standard anti-epileptic drugs were carried out.Our results revealed that the drug binding site with respect to the wildtype protein was uniform. However, the variant hPGP proteins displayed a repertoire of binding sites with stronger binding affinities towards the drug.Our studies indicated that specific polymorphisms inMDR1could drive conformational changes of PGP structure, facilitating altered contacts with drug-substrates and thus modifying their bioavailability. This suggests thatMDR1polymorphisms could actively contribute to the emergence of pharmaco-resistance in antiepileptic therapy.
{"title":"Computational Pharmacogenetics of P-Glycoprotein Mediated Antiepileptic Drug Resistance","authors":"Sindhu Varghese, Ashok Palaniappan","doi":"10.2174/1875036201811010197","DOIUrl":"https://doi.org/10.2174/1875036201811010197","url":null,"abstract":"The treatment of epilepsy using antiepileptogenic drugs is complicated by drug resistance, resulting in treatment failure in more than one-third of cases. Human P-glycoprotein (hPGP;MDR1) is a known epileptogenic mediator.Given that experimental investigations have suggested a role for pharmacogenetics in this treatment failure, it would be of interest to study hPGP polymorphisms that might contribute to the emergence of drug resistance. Changes in protein functional activity could result from mutations as well as altered abundance. Bioinformatics approaches were used to assess and rank the functional impact of 20 missenseMDR1polymorphisms and the top five were selected. The structures of the wildtype and variant hPGP were modelled based on the mouse PGP structure. Docking studies of the wildtype and variant hPGP with four standard anti-epileptic drugs were carried out.Our results revealed that the drug binding site with respect to the wildtype protein was uniform. However, the variant hPGP proteins displayed a repertoire of binding sites with stronger binding affinities towards the drug.Our studies indicated that specific polymorphisms inMDR1could drive conformational changes of PGP structure, facilitating altered contacts with drug-substrates and thus modifying their bioavailability. This suggests thatMDR1polymorphisms could actively contribute to the emergence of pharmaco-resistance in antiepileptic therapy.","PeriodicalId":38956,"journal":{"name":"Open Bioinformatics Journal","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44401771","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 : 2018-07-31DOI: 10.2174/1875036201811010164
M. Ambrosanio, F. Baselice
Received: May 30, 2018 Revised: June 24, 2018 Accepted: June 26, 2018 Abstract: Background: During the last years, cyclostationarity has emerged as a new approach for the analysis of a certain type of non-stationary signals. This theoretical tool allows us to identify periodicity in signals which cannot be identified easily but also to separate useful signals for other interfering contributions that overlap in the spectral support.
{"title":"Cyclostationary Analysis for Heart Rate Variability","authors":"M. Ambrosanio, F. Baselice","doi":"10.2174/1875036201811010164","DOIUrl":"https://doi.org/10.2174/1875036201811010164","url":null,"abstract":"Received: May 30, 2018 Revised: June 24, 2018 Accepted: June 26, 2018 Abstract: Background: During the last years, cyclostationarity has emerged as a new approach for the analysis of a certain type of non-stationary signals. This theoretical tool allows us to identify periodicity in signals which cannot be identified easily but also to separate useful signals for other interfering contributions that overlap in the spectral support.","PeriodicalId":38956,"journal":{"name":"Open Bioinformatics Journal","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46714223","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 : 2018-07-31DOI: 10.2174/1875036201811010117
Barnali Sahu, Satchidananda Dehuri, A. Jagadev
This paper studies the relevance of feature selection algorithms in microarray data for effective analysis. With no loss of generality, we present a list of feature selection algorithms and propose a generic categorizing framework that systematically groups algorithms into categories. The generic categorizing framework is based on search strategies and evaluation criteria. Further, it provides guidelines for selecting feature selection algorithms in general and in specific to the context of this study. In the context of microarray data analysis, the feature selection algorithms are classified into soft and non-soft computing categories. Their performance analysis with respect to microarray data analysis has been presented.
{"title":"A Study on the Relevance of Feature Selection Methods in Microarray Data","authors":"Barnali Sahu, Satchidananda Dehuri, A. Jagadev","doi":"10.2174/1875036201811010117","DOIUrl":"https://doi.org/10.2174/1875036201811010117","url":null,"abstract":"This paper studies the relevance of feature selection algorithms in microarray data for effective analysis. With no loss of generality, we present a list of feature selection algorithms and propose a generic categorizing framework that systematically groups algorithms into categories. The generic categorizing framework is based on search strategies and evaluation criteria. Further, it provides guidelines for selecting feature selection algorithms in general and in specific to the context of this study. In the context of microarray data analysis, the feature selection algorithms are classified into soft and non-soft computing categories. Their performance analysis with respect to microarray data analysis has been presented.","PeriodicalId":38956,"journal":{"name":"Open Bioinformatics Journal","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43572116","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 : 2018-07-31DOI: 10.2174/1875036201811010140
Wasef Mater, M. Aldwairi, R. Ibrahim
Background: One of the main challenges to hospital patient flow and treatment includes the lack of a patient-centered approach, which in turn contributes to non-effective teamwork communication. Objectives: To introduce patient-centered approach by implementing electronic clinical pathways to support more effective teamwork communication. To study how to enhance teamwork communication in healthcare by implementing electronic clinical pathways. Methods: We propose a research model, integrating the Donbedian model and the socio-technical theory, to investigate the factors that influence teamwork communication in healthcare. This research applied a quantitative approach using a survey method that was designed along the same principles as in the related work. Preliminary data collection was conducted using the survey method for problem formulation. Results: Designed and developed a model for implementing electronic clinical pathways to enhance teamwork communication in healthcare. Conclusion: This study provides recommendations to hospitals to enhance teamwork communication in healthcare by implementing electronic clinical pathways.
{"title":"Enhanced Teamwork Communication Model for Electronic Clinical Pathways in Healthcare","authors":"Wasef Mater, M. Aldwairi, R. Ibrahim","doi":"10.2174/1875036201811010140","DOIUrl":"https://doi.org/10.2174/1875036201811010140","url":null,"abstract":"Background: One of the main challenges to hospital patient flow and treatment includes the lack of a patient-centered approach, which in turn contributes to non-effective teamwork communication. Objectives: To introduce patient-centered approach by implementing electronic clinical pathways to support more effective teamwork communication. To study how to enhance teamwork communication in healthcare by implementing electronic clinical pathways. Methods: We propose a research model, integrating the Donbedian model and the socio-technical theory, to investigate the factors that influence teamwork communication in healthcare. This research applied a quantitative approach using a survey method that was designed along the same principles as in the related work. Preliminary data collection was conducted using the survey method for problem formulation. Results: Designed and developed a model for implementing electronic clinical pathways to enhance teamwork communication in healthcare. Conclusion: This study provides recommendations to hospitals to enhance teamwork communication in healthcare by implementing electronic clinical pathways.","PeriodicalId":38956,"journal":{"name":"Open Bioinformatics Journal","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47617746","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 : 2018-05-31DOI: 10.2174/1875036201811010106
S. Rodrigues, J. S. Paiva, D. Dias, Marta Aleixo, R. Filipe, J. P. Cunha
Air Traffic Control (ATC) is a complex and demanding process, exposing Air Traffic Controllers (ATCs) to high stress. Recently, efforts have been made in ATC to maintain safety and efficiency in the face of increasing air traffic demands. Computer simulations have been a useful tool for ATC training, improving ATCs skills and consequently traffic safety.This study aims to: a) evaluate psychophysiological indices of stress in an ATC simulation environment using a wearable biomonitoring platform. In order to obtain a measure of ATCs stress levels, results from an experimental study with the same participants, that included a stress-induced task were used as a stress ground truth; b) understand if there are differences in stress levels of ATCs with different job functions (“advisors”vs“operationals”) when performing an ATC Refresher Training, in a simulator environment.Two studies were conducted with ATCs: Study 1, that included a stress-induced task - the Trier Social Stress Test (TSST) and Study 2, that included an ATC simulation task. Linear Heart Rate Variability (HRV) features from ATCs were acquired using a medical-grade wearable Electrocardiogram (ECG) device. Self-reports were used to measure perceived stress.TSST was self-reported as being much more stressful than the simulation task. Physiological data supports these results. Results from study 2 showed more stress among the “advisors” group when comparing to the “operational” group.Results point to the importance of the development of quantified Occupational Health (qOHealth) devices to allow monitoring and differentiation of ATCs stress responses.
{"title":"A Wearable System for the Stress Monitoring of Air Traffic Controllers During An Air Traffic Control Refresher Training and the Trier Social Stress Test: A Comparative Study","authors":"S. Rodrigues, J. S. Paiva, D. Dias, Marta Aleixo, R. Filipe, J. P. Cunha","doi":"10.2174/1875036201811010106","DOIUrl":"https://doi.org/10.2174/1875036201811010106","url":null,"abstract":"Air Traffic Control (ATC) is a complex and demanding process, exposing Air Traffic Controllers (ATCs) to high stress. Recently, efforts have been made in ATC to maintain safety and efficiency in the face of increasing air traffic demands. Computer simulations have been a useful tool for ATC training, improving ATCs skills and consequently traffic safety.This study aims to: a) evaluate psychophysiological indices of stress in an ATC simulation environment using a wearable biomonitoring platform. In order to obtain a measure of ATCs stress levels, results from an experimental study with the same participants, that included a stress-induced task were used as a stress ground truth; b) understand if there are differences in stress levels of ATCs with different job functions (“advisors”vs“operationals”) when performing an ATC Refresher Training, in a simulator environment.Two studies were conducted with ATCs: Study 1, that included a stress-induced task - the Trier Social Stress Test (TSST) and Study 2, that included an ATC simulation task. Linear Heart Rate Variability (HRV) features from ATCs were acquired using a medical-grade wearable Electrocardiogram (ECG) device. Self-reports were used to measure perceived stress.TSST was self-reported as being much more stressful than the simulation task. Physiological data supports these results. Results from study 2 showed more stress among the “advisors” group when comparing to the “operational” group.Results point to the importance of the development of quantified Occupational Health (qOHealth) devices to allow monitoring and differentiation of ATCs stress responses.","PeriodicalId":38956,"journal":{"name":"Open Bioinformatics Journal","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48629433","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 : 2018-05-23DOI: 10.2174/1875036201811010089
L. Donato, L. Denaro
RESEARCH ARTICLE Bioinformatic Analysis of a “Functional Cluster” Probably Related to Retinitis Pigmentosa Luigi Donato and Lucia Denaro Department of Biomedical and Dental Sciences and Morphofunctional Images, Division of Medical Biotechnologies and Preventive Medicine, University of Messina, Messina, Italy Department of vanguard medicine and therapies, biomolecular strategies and neuroscience, Section of NeuroscienceApplied Molecular Genetics and Predictive Medicine, I. E. ME. S. T., Palermo, Italy Department of Chemical, Biological, Pharmaceutical and Environmental Sciences, University of Messina, Messina, Italy
{"title":"Bioinformatic Analysis of a “Functional Cluster” Probably Related to Retinitis Pigmentosa","authors":"L. Donato, L. Denaro","doi":"10.2174/1875036201811010089","DOIUrl":"https://doi.org/10.2174/1875036201811010089","url":null,"abstract":"RESEARCH ARTICLE Bioinformatic Analysis of a “Functional Cluster” Probably Related to Retinitis Pigmentosa Luigi Donato and Lucia Denaro Department of Biomedical and Dental Sciences and Morphofunctional Images, Division of Medical Biotechnologies and Preventive Medicine, University of Messina, Messina, Italy Department of vanguard medicine and therapies, biomolecular strategies and neuroscience, Section of NeuroscienceApplied Molecular Genetics and Predictive Medicine, I. E. ME. S. T., Palermo, Italy Department of Chemical, Biological, Pharmaceutical and Environmental Sciences, University of Messina, Messina, Italy","PeriodicalId":38956,"journal":{"name":"Open Bioinformatics Journal","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45575961","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 : 2018-05-22DOI: 10.2174/1875036201811010061
I. Pires, Maria Cristina Canavarro Teixeira, Nuno Pombo, N. Garcia, Francisco Flórez-Revuelta, S. Spinsante, R. Goleva, Eftim Zdravevski
This work was supported by FCT project UID/EEA/50008/2013 (Este trabalho foi suportado pelo projecto FCT UID/EEA/50008/2013). The authors would also like to acknowledge the contribution of the COST Action IC1303 – AAPELE – Architectures, Algorithms and Protocols for Enhanced Living Environments.
这项工作得到了FCT项目UID/EEA/50008/2013（Este trabalho foi suportado pelo projecto FCT UID/EEA/50008/2013）的支持。作者还想感谢成本行动IC1303–AAPELE–增强生活环境的架构、算法和协议的贡献。
{"title":"Android Library for Recognition of Activities of Daily Living: Implementation Considerations, Challenges, and Solutions","authors":"I. Pires, Maria Cristina Canavarro Teixeira, Nuno Pombo, N. Garcia, Francisco Flórez-Revuelta, S. Spinsante, R. Goleva, Eftim Zdravevski","doi":"10.2174/1875036201811010061","DOIUrl":"https://doi.org/10.2174/1875036201811010061","url":null,"abstract":"This work was supported by FCT project UID/EEA/50008/2013 (Este trabalho foi suportado pelo projecto FCT UID/EEA/50008/2013). The authors would also like to acknowledge the contribution of the COST Action IC1303 – AAPELE – Architectures, Algorithms and Protocols for Enhanced Living Environments.","PeriodicalId":38956,"journal":{"name":"Open Bioinformatics Journal","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41903916","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 : 2018-05-14DOI: 10.2174/1875036201811010052
Armin Hakkak Moghaddam Torbati, E. Tahami, H. Kobravi
Methods: Participants were ten male with average age 24 ± 1. Firstly, the process of fatigue during sitting was observed by mid-frequency index. For performing the necessary analysis, the 10-second window of time was used. The 15 minutes of time trial was divided into 3 sub-terms. Each sub-term was investigated separately. The sub-terms contain: The beginning of record until the 90th second, from the 90th second to the 600th second and from the 600th second to the 900th second.
{"title":"Clinical Model to the Analysis of Synergy Pattern Changes of Back Muscles and its Relationship with the Occurrence of Fatigue","authors":"Armin Hakkak Moghaddam Torbati, E. Tahami, H. Kobravi","doi":"10.2174/1875036201811010052","DOIUrl":"https://doi.org/10.2174/1875036201811010052","url":null,"abstract":"Methods: Participants were ten male with average age 24 ± 1. Firstly, the process of fatigue during sitting was observed by mid-frequency index. For performing the necessary analysis, the 10-second window of time was used. The 15 minutes of time trial was divided into 3 sub-terms. Each sub-term was investigated separately. The sub-terms contain: The beginning of record until the 90th second, from the 90th second to the 600th second and from the 600th second to the 900th second.","PeriodicalId":38956,"journal":{"name":"Open Bioinformatics Journal","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45079374","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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