Yulia V. Koryagina, Sergej V. Nopin, G. Ter-Akopov, S. M. Abutalimova
A study of biomechanics of weightlifters’ movement when performing competitive exercises with the simultaneous identification of neuromuscular processes in working muscles is relevant for defining the most effective and ergonomic parameters of the manner of performing, allowing to improve the athletic performance. A study, which identifies dynamics of muscles’ electric activity and power-based features in different phases of weightlifting exercises, is also of great importance. This study presents the developed technique of automated biomechanical control over the manner of performing weightlifting exercises, including the evaluation of kinematic, dynamic, stabilographic and electromyographic features. The research was carried out using the Biotechnologies Motion System (Biotechnologies Bioengineering, Italy). The digital electrooptic measuring system SMART (Biotechnologies S.p.A., Milan, Italy) was used for testing, high precision synchronous recording and processing of kinematic, dynamic, electromyographic and visual data to analyze and control technical and physical fitness of weightlifters when performing weightlifting exercises. With the help of developed computer programs (certificates: RU 2020660142 from 28.08.2020 and RU 2020660143 from 28.08.2020), the study was carried out on the manner of performing weightlifting exercises (clean and jerk, snatch) of 45 masters of sports in weightlifting. Sex-related features of the manner of performing and differences in biomechanical parameters in athletes of various weight categories were also identified. Graphs of the barbell movement trajectory on the X- and Y-axis (the cyclogram), the graph of changes in the reaction force of the right and left support in different movement phases, the graph of changes in the barbell vertical velocity over time, the graph of changes in the barbell vertical power, electromyography of muscles when performing the weightlifting snatch were presented in final protocols. Same graphs are also presented in the protocol of testing the weightlifting clean and jerk, including graphs of hip, knee and ankle joints’ flexion over time. As a result, we developed the technique of automated express control over performing weightlifting exercises. The biomechanical study, conducted using this technique, allowed identifying sex-based features and differences in athletes of different weight categories. Model characteristics of the more ergonomic technique for athletes of different sex and weight categories were also developed.
{"title":"The Technique of Automated Biomechanical Analysis of Weightlifting Exercises in the Conditions of Training Activity: Biomechanical Analysis of Weightlifting Exercises","authors":"Yulia V. Koryagina, Sergej V. Nopin, G. Ter-Akopov, S. M. Abutalimova","doi":"10.1145/3502060.3502325","DOIUrl":"https://doi.org/10.1145/3502060.3502325","url":null,"abstract":"A study of biomechanics of weightlifters’ movement when performing competitive exercises with the simultaneous identification of neuromuscular processes in working muscles is relevant for defining the most effective and ergonomic parameters of the manner of performing, allowing to improve the athletic performance. A study, which identifies dynamics of muscles’ electric activity and power-based features in different phases of weightlifting exercises, is also of great importance. This study presents the developed technique of automated biomechanical control over the manner of performing weightlifting exercises, including the evaluation of kinematic, dynamic, stabilographic and electromyographic features. The research was carried out using the Biotechnologies Motion System (Biotechnologies Bioengineering, Italy). The digital electrooptic measuring system SMART (Biotechnologies S.p.A., Milan, Italy) was used for testing, high precision synchronous recording and processing of kinematic, dynamic, electromyographic and visual data to analyze and control technical and physical fitness of weightlifters when performing weightlifting exercises. With the help of developed computer programs (certificates: RU 2020660142 from 28.08.2020 and RU 2020660143 from 28.08.2020), the study was carried out on the manner of performing weightlifting exercises (clean and jerk, snatch) of 45 masters of sports in weightlifting. Sex-related features of the manner of performing and differences in biomechanical parameters in athletes of various weight categories were also identified. Graphs of the barbell movement trajectory on the X- and Y-axis (the cyclogram), the graph of changes in the reaction force of the right and left support in different movement phases, the graph of changes in the barbell vertical velocity over time, the graph of changes in the barbell vertical power, electromyography of muscles when performing the weightlifting snatch were presented in final protocols. Same graphs are also presented in the protocol of testing the weightlifting clean and jerk, including graphs of hip, knee and ankle joints’ flexion over time. As a result, we developed the technique of automated express control over performing weightlifting exercises. The biomechanical study, conducted using this technique, allowed identifying sex-based features and differences in athletes of different weight categories. Model characteristics of the more ergonomic technique for athletes of different sex and weight categories were also developed.","PeriodicalId":133132,"journal":{"name":"International Symposium on Biomedical Engineering and Computational Biology","volume":"93 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116297448","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 : 1900-01-01DOI: 10.1007/978-3-031-25191-7_29
G. Improta, V. Bottino, Elvira Baiano, M. Russo, M. A. Stingone, M. Triassi
{"title":"EDWIN and NEDOCS Indices to Study Patient Flow in Emergency Department","authors":"G. Improta, V. Bottino, Elvira Baiano, M. Russo, M. A. Stingone, M. Triassi","doi":"10.1007/978-3-031-25191-7_29","DOIUrl":"https://doi.org/10.1007/978-3-031-25191-7_29","url":null,"abstract":"","PeriodicalId":133132,"journal":{"name":"International Symposium on Biomedical Engineering and Computational Biology","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125870821","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 : 1900-01-01DOI: 10.1007/978-3-031-25191-7_32
G. Improta, V. Bottino, M. A. Stingone, M. Russo, Loredana Setaro, M. Triassi
{"title":"Implementation of DMAIC Cycle to Study the Impact of COVID-19 on Emergency Department-LOS","authors":"G. Improta, V. Bottino, M. A. Stingone, M. Russo, Loredana Setaro, M. Triassi","doi":"10.1007/978-3-031-25191-7_32","DOIUrl":"https://doi.org/10.1007/978-3-031-25191-7_32","url":null,"abstract":"","PeriodicalId":133132,"journal":{"name":"International Symposium on Biomedical Engineering and Computational Biology","volume":"84 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115037888","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 : 1900-01-01DOI: 10.1007/978-3-031-25191-7_55
A. Scala, Marta Rosaria Marino, Massimo Majolo, Giuseppe Russo, F. Smeraglia, M. Basso, Francesco Bruno, A. Borrelli, A. M. Ponsiglione
{"title":"Regression and Machine Learning Algorithm to Study the LOS of Patients Undergoing Hip Surgery","authors":"A. Scala, Marta Rosaria Marino, Massimo Majolo, Giuseppe Russo, F. Smeraglia, M. Basso, Francesco Bruno, A. Borrelli, A. M. Ponsiglione","doi":"10.1007/978-3-031-25191-7_55","DOIUrl":"https://doi.org/10.1007/978-3-031-25191-7_55","url":null,"abstract":"","PeriodicalId":133132,"journal":{"name":"International Symposium on Biomedical Engineering and Computational Biology","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126446993","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 : 1900-01-01DOI: 10.1007/978-3-031-25191-7_1
Fang Liu, Likai Du
{"title":"The Charge Transfer Network Model for Arbitrary Proteins Complexes","authors":"Fang Liu, Likai Du","doi":"10.1007/978-3-031-25191-7_1","DOIUrl":"https://doi.org/10.1007/978-3-031-25191-7_1","url":null,"abstract":"","PeriodicalId":133132,"journal":{"name":"International Symposium on Biomedical Engineering and Computational Biology","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133677413","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 : 1900-01-01DOI: 10.1007/978-3-031-25191-7_35
G. Improta, V. Bottino, M. Morra, M. Russo, R. Nasti, M. Triassi
{"title":"Patient Abandonment Rate Assessment in the Emergency Department of a Nursing Home Conventioned: The Case of Evangelical Hospital \"Betania\"","authors":"G. Improta, V. Bottino, M. Morra, M. Russo, R. Nasti, M. Triassi","doi":"10.1007/978-3-031-25191-7_35","DOIUrl":"https://doi.org/10.1007/978-3-031-25191-7_35","url":null,"abstract":"","PeriodicalId":133132,"journal":{"name":"International Symposium on Biomedical Engineering and Computational Biology","volume":"73 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132864906","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 : 1900-01-01DOI: 10.1007/978-3-031-25191-7_57
Teresa Angela Trunfio, Marta Rosaria Marino, Cristiana Giglio, Massimo Majolo, E. Raiola, E. Festa, G. Longo, M. Triassi, A. Scala
{"title":"Study of Variables Influencing LOS with Machine Learning in Patients with Kidney Disease","authors":"Teresa Angela Trunfio, Marta Rosaria Marino, Cristiana Giglio, Massimo Majolo, E. Raiola, E. Festa, G. Longo, M. Triassi, A. Scala","doi":"10.1007/978-3-031-25191-7_57","DOIUrl":"https://doi.org/10.1007/978-3-031-25191-7_57","url":null,"abstract":"","PeriodicalId":133132,"journal":{"name":"International Symposium on Biomedical Engineering and Computational Biology","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133578221","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}
The paper summarizes the results of study on the recovery of previously mastered skills of attack motions when transferring from classical to beach volleyball by means of biomechanical analysis. The purpose of the study was to evaluate advantages of the implementation of biomechanical analysis in the recovery of previously mastered techniques in beach volleyball. Comparison of the efficiency of the recovery of previously mastered techniques was studied on the example of the attack spike. Twelve male university team players participated in this study (age: 20.5 ± 0.72 years; body mass: 79.8± 7.6 kg; height: 186.7 ± 5.49 cm) were divided into experimental group (EG) and control group (CG). Personal spike profiles for beach volleyball were used in the experimental group to guide the technique recovery. The spike efficiency was assessed on three most informative parameters: initial ball velocity, hitting the court and hitting the assigned zone. The generalized value of spike efficiency was calculated as the parameters average. The results showed substantial acceleration of skill recovery to the previously archived level both in in seasonal shifts of the experimental group and after the constrained layoffs due to COVID-19 restrictions.
{"title":"Recovery of previously mastered techniques in a shift from classical to beach volleyball by means of biomechanical analysis: (on the example of an attack spike)","authors":"P. Pavlov, Aleksander V. Buzinsky","doi":"10.1145/3502060.3503618","DOIUrl":"https://doi.org/10.1145/3502060.3503618","url":null,"abstract":"The paper summarizes the results of study on the recovery of previously mastered skills of attack motions when transferring from classical to beach volleyball by means of biomechanical analysis. The purpose of the study was to evaluate advantages of the implementation of biomechanical analysis in the recovery of previously mastered techniques in beach volleyball. Comparison of the efficiency of the recovery of previously mastered techniques was studied on the example of the attack spike. Twelve male university team players participated in this study (age: 20.5 ± 0.72 years; body mass: 79.8± 7.6 kg; height: 186.7 ± 5.49 cm) were divided into experimental group (EG) and control group (CG). Personal spike profiles for beach volleyball were used in the experimental group to guide the technique recovery. The spike efficiency was assessed on three most informative parameters: initial ball velocity, hitting the court and hitting the assigned zone. The generalized value of spike efficiency was calculated as the parameters average. The results showed substantial acceleration of skill recovery to the previously archived level both in in seasonal shifts of the experimental group and after the constrained layoffs due to COVID-19 restrictions.","PeriodicalId":133132,"journal":{"name":"International Symposium on Biomedical Engineering and Computational Biology","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122949277","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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