| Literature DB >> 35313512 |
Hua Gong1, Shuang Chen2, Shuo Yu3, Dong Liu4, Xin Li5, Zeliang Shan6, Fan Kong7, Zhi Yan1,8, Feng Han8.
Abstract
Competitive aerobics has emerged as a highly competitive sport beyond its own physical limit. Modern competitive aerobics competition is very fierce; athletes cannot only rely on a specific competitive skill to achieve good results. Protein is the physical basis of life activity. The life activity of human body is closely related to protein, and protein is closely related to human exercise ability. This article aims to study protein metabolism and demand of aerobics athletes during training based on multisensor data fusion. A total of 26 female aerobics athletes were randomly divided into two groups: exercise group and exercise + nutrition group. According to the characteristics of human motion, a comprehensive measurement acquisition sensor system for collecting human motion information is designed and implemented, and the system is used to monitor the subject's protein condition in real time. The subjects took protein nutrient solution before breakfast every day. The dynamic recognition algorithm designed in this paper also has shortcomings, and the monitoring protein method based on gait and other signs is not completely correct. The experiment lasted for 7 weeks. The results showed that the level of serum transferrin receptor decreased significantly in the quiet + nutrition group for 4 weeks, which was significantly different from that at 0 and 3 weeks in the same group (P < 0.01) and was significantly different from that in the same group at 7 weeks (P < 0.05). In the exercise group, the level of serum transferrin receptor increased significantly at 5 weeks, compared with the same group at 0 and 3 weeks (P < 0.05).Entities:
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Year: 2022 PMID: 35313512 PMCID: PMC8934227 DOI: 10.1155/2022/6169150
Source DB: PubMed Journal: J Healthc Eng ISSN: 2040-2295 Impact factor: 3.822
Figure 1Flow chart of protein physiological function.
Figure 2Working principle of mechanical tools for single-molecule detection: optical tweezers.
Figure 3Working principle of mechanical tools for single-molecule detection: magnetic tweezers.
Figure 4Working principle of mechanical tools for single-molecule detection: atomic force microscope.
Figure 5The effect of electrolyte solution pH on protein translocation time.
Figure 6Foot pressure measurement shoe.
Figure 7Pressure data collection process.
Physical parameters and performance indicators.
| Parameter | Unit | |
|---|---|---|
| Thickness | 0.25 | mm |
| Length | 26.2 | mm |
| Width | 15.1 | mm |
| Induction zone diameter | 10.7 | mm |
| Measuring pressure range | 0–500 | N |
| Nonlinearity | <±3% | - |
| Hysteresis | <±4.5% | - |
| Response time | <5 | Us |
Figure 8Pressure sensor layout.
hemoglobin level (G/L) among groups.
| Quiet control group (6) | Quiet + nutrition group (6) | Exercise group (7) | Exercise + nutrition group (7) | |
|---|---|---|---|---|
| 0 weeks | 126.22 ± 6.45 | 126.23 ± 5.56 | 127.89 ± 4.34 | 122.12 ± 3.67 |
| 3 weeks | 125.23 ± 11.67 | 133.23 ± 10.34 | 131.45 ± 12.89 | 122.89 ± 5.23 |
| 5 weeks | 132.56 ± 3.18 | 134.33 ± 4.72 | 121.89 ± 3.43 | 126.12 ± 4.83 |
| 7 weeks | 132.12 ± 4.54 | 135.66 ± 2.34 | 124.76 ± 3.36 | 130.22 ± 2.23 |
Figure 9Comparison of hemoglobin level (G/L) among groups.
Figure 10Hemoglobin levels in the groups.
Comparison of the changes of serum transferrin receptor (Nmol/L) in each group.
| Quiet control group (6) | Quiet + nutrition group (6) | Exercise group (7) | Exercise + nutrition group (7) | |
|---|---|---|---|---|
| 0 weeks | 14.65 ± 0.57 | 14.66 ± 0.53 | 14.38 ± 0.56 | 14.33 ± 0.56 |
| 3 weeks | 14.86 ± 0.42 | 14.54 ± 0.57 | 14.45 ± 0.56 | 14.65 ± 0.57 |
| 5 weeks | 14.54 ± 0.56 | 13.19 ± 0.42 | 15.33 ± 0.54 | 14.33 ± 1.20 |
| 7 weeks | 14.68 ± 0.55 | 14.52 ± 0.89 | 14.23 ± 0.92 | 14.27 ± 1.39 |
Figure 11Comparison of the changes of serum transferrin receptor (Nmol/L) in each group.
Figure 12The specific data of serum transferrin receptor levels.