Rapid Assessment of Exercise State through Athlete’s Urine Using Temperature-Dependent NIRS Technology
Athletes usually take nutritional supplements and perform the specialized training to improve the performance of sport. A quick assessment of their athletic status will help to understand the current physical function of athletes’ status and the effect of nutritional supplementation. Human urine, as...
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| Format: | Article |
| Language: | English |
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Wiley
2020-01-01
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| Series: | Journal of Analytical Methods in Chemistry |
| Online Access: | http://dx.doi.org/10.1155/2020/8828213 |
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| author | Lihe Ding Lei-ming Yuan Yiye Sun Xia Zhang Jianpeng Li Zou Yan |
| author_facet | Lihe Ding Lei-ming Yuan Yiye Sun Xia Zhang Jianpeng Li Zou Yan |
| author_sort | Lihe Ding |
| collection | DOAJ |
| description | Athletes usually take nutritional supplements and perform the specialized training to improve the performance of sport. A quick assessment of their athletic status will help to understand the current physical function of athletes’ status and the effect of nutritional supplementation. Human urine, as one of the most important body indicators, is composed of many metabolites, which can provide effective monitoring information for physical conditions. In this study, temperature-dependent near-infrared spectroscopy (NIRS) technology was used to collect the spectra of athlete’s urine for evaluating the feasibility of rapidly detecting the exercise state of the basketball player. To obtain the detection results accurately, several chemometrics methods including principal component analysis (PCA), variables selection method of variable importance in projection (VIP), continuous 1D wavelet transform (CWT), and partial least square-discriminant analysis (PLS-DA) were employed to develop a classifier to distinguish the physical status of athletes. The optimal classifying results were obtained by wavelet-PLS-DA classifier, whose average precision, sensitivity, and specificity are all above 0.95, and the overall accuracy of all samples is 0.97. These results demonstrate that temperature-dependent NIRS can be used to rapidly assess the physical function of athlete’s status and the effect of nutritional supplementation is feasible. It can be believed that temperature-dependent NIR spectroscopy will obtain applications more widely in the future. |
| format | Article |
| id | doaj-art-0b20b6cf4ab4455899a0644868bbaf36 |
| institution | Kabale University |
| issn | 2090-8865 2090-8873 |
| language | English |
| publishDate | 2020-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Analytical Methods in Chemistry |
| spelling | doaj-art-0b20b6cf4ab4455899a0644868bbaf362025-02-03T01:28:17ZengWileyJournal of Analytical Methods in Chemistry2090-88652090-88732020-01-01202010.1155/2020/88282138828213Rapid Assessment of Exercise State through Athlete’s Urine Using Temperature-Dependent NIRS TechnologyLihe Ding0Lei-ming Yuan1Yiye Sun2Xia Zhang3Jianpeng Li4Zou Yan5School of Physical Education & Sport Science, Wenzhou Medical University, Wenzhou 325035, ChinaCollege of Electric & Electronic Engineering, Wenzhou University, Wenzhou 325035, ChinaCollege of Electric & Electronic Engineering, Wenzhou University, Wenzhou 325035, ChinaCollege of Electric & Electronic Engineering, Wenzhou University, Wenzhou 325035, ChinaSchool of Physical Education & Sport Science, Wenzhou Medical University, Wenzhou 325035, ChinaSchool of Physical Education & Sport Science, Wenzhou Medical University, Wenzhou 325035, ChinaAthletes usually take nutritional supplements and perform the specialized training to improve the performance of sport. A quick assessment of their athletic status will help to understand the current physical function of athletes’ status and the effect of nutritional supplementation. Human urine, as one of the most important body indicators, is composed of many metabolites, which can provide effective monitoring information for physical conditions. In this study, temperature-dependent near-infrared spectroscopy (NIRS) technology was used to collect the spectra of athlete’s urine for evaluating the feasibility of rapidly detecting the exercise state of the basketball player. To obtain the detection results accurately, several chemometrics methods including principal component analysis (PCA), variables selection method of variable importance in projection (VIP), continuous 1D wavelet transform (CWT), and partial least square-discriminant analysis (PLS-DA) were employed to develop a classifier to distinguish the physical status of athletes. The optimal classifying results were obtained by wavelet-PLS-DA classifier, whose average precision, sensitivity, and specificity are all above 0.95, and the overall accuracy of all samples is 0.97. These results demonstrate that temperature-dependent NIRS can be used to rapidly assess the physical function of athlete’s status and the effect of nutritional supplementation is feasible. It can be believed that temperature-dependent NIR spectroscopy will obtain applications more widely in the future.http://dx.doi.org/10.1155/2020/8828213 |
| spellingShingle | Lihe Ding Lei-ming Yuan Yiye Sun Xia Zhang Jianpeng Li Zou Yan Rapid Assessment of Exercise State through Athlete’s Urine Using Temperature-Dependent NIRS Technology Journal of Analytical Methods in Chemistry |
| title | Rapid Assessment of Exercise State through Athlete’s Urine Using Temperature-Dependent NIRS Technology |
| title_full | Rapid Assessment of Exercise State through Athlete’s Urine Using Temperature-Dependent NIRS Technology |
| title_fullStr | Rapid Assessment of Exercise State through Athlete’s Urine Using Temperature-Dependent NIRS Technology |
| title_full_unstemmed | Rapid Assessment of Exercise State through Athlete’s Urine Using Temperature-Dependent NIRS Technology |
| title_short | Rapid Assessment of Exercise State through Athlete’s Urine Using Temperature-Dependent NIRS Technology |
| title_sort | rapid assessment of exercise state through athlete s urine using temperature dependent nirs technology |
| url | http://dx.doi.org/10.1155/2020/8828213 |
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