S. Allouch, R. Younes, J. Laforêt, S. Boudaoud, M. Khalil
{"title":"人体手指模型的敏感性分析","authors":"S. Allouch, R. Younes, J. Laforêt, S. Boudaoud, M. Khalil","doi":"10.1109/ICABME.2017.8167553","DOIUrl":null,"url":null,"abstract":"The main objective of the presented work is to do a preliminary sensitivity analysis of the simplified neuromusculoskeletal model of the human middle finger that we have already developed [1], [2]. The importance of this study is to improve the model by well estimating internal parameters, which are the most affecting the model output, and by adapting it to each individual. The sensitivity analysis presented in this study is preliminary; it is based on the computing of the elementary effect (EE) of the 3 signal features of the muscular force. We get significant results to indicate the most important parameters among those chosen; these are the most influential parameters on system output, and good estimation of them leads to a more realistic model. These results encourage us to do a deeper sensitivity analysis for the most complex model where the sensitivity analysis will be on all internal parameters of the model in order to improve it.","PeriodicalId":426559,"journal":{"name":"2017 Fourth International Conference on Advances in Biomedical Engineering (ICABME)","volume":"93 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Sensitivity analysis of a human finger model\",\"authors\":\"S. Allouch, R. Younes, J. Laforêt, S. Boudaoud, M. Khalil\",\"doi\":\"10.1109/ICABME.2017.8167553\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The main objective of the presented work is to do a preliminary sensitivity analysis of the simplified neuromusculoskeletal model of the human middle finger that we have already developed [1], [2]. The importance of this study is to improve the model by well estimating internal parameters, which are the most affecting the model output, and by adapting it to each individual. The sensitivity analysis presented in this study is preliminary; it is based on the computing of the elementary effect (EE) of the 3 signal features of the muscular force. We get significant results to indicate the most important parameters among those chosen; these are the most influential parameters on system output, and good estimation of them leads to a more realistic model. These results encourage us to do a deeper sensitivity analysis for the most complex model where the sensitivity analysis will be on all internal parameters of the model in order to improve it.\",\"PeriodicalId\":426559,\"journal\":{\"name\":\"2017 Fourth International Conference on Advances in Biomedical Engineering (ICABME)\",\"volume\":\"93 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 Fourth International Conference on Advances in Biomedical Engineering (ICABME)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICABME.2017.8167553\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 Fourth International Conference on Advances in Biomedical Engineering (ICABME)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICABME.2017.8167553","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The main objective of the presented work is to do a preliminary sensitivity analysis of the simplified neuromusculoskeletal model of the human middle finger that we have already developed [1], [2]. The importance of this study is to improve the model by well estimating internal parameters, which are the most affecting the model output, and by adapting it to each individual. The sensitivity analysis presented in this study is preliminary; it is based on the computing of the elementary effect (EE) of the 3 signal features of the muscular force. We get significant results to indicate the most important parameters among those chosen; these are the most influential parameters on system output, and good estimation of them leads to a more realistic model. These results encourage us to do a deeper sensitivity analysis for the most complex model where the sensitivity analysis will be on all internal parameters of the model in order to improve it.