| Literature DB >> 36016919 |
Liping Liu1, Nan Chang2, Shihong Li3, Peipei Gong4, Junhua Wang4.
Abstract
With the high development of sports, football has attracted more and more attention from the public. However, the hot competition has made football players undergo high-intensity training, and the risk of injury caused by training is also increasing. Lateral incision knee ACL injury is one of the most common types of injuries in football players, which has a serious impact on the athlete's physiology and daily training. The comprehensive, multi-level, convenient and fast medical system brought by the medical Internet of Things has become the growing demand of the medical industry. Based on the medical Internet of Things, this paper studies the rehabilitation nursing of football players' ACL injury by lateral cutting and running combined with optical microscope. In this paper, 36 male and female football players were selected for group experiments, and the landing and peak torque indexes of the experimental group and the control group of male and female athletes were analyzed under the observation of an optical microscope. Group (P <0.05), coxa valgus (P <0.01), internal rotation and knee valgus angles were greater than those in the EM group. And the peak hip flexion angle and knee valgus moment in NF group were lower than those in EF group (P <0.05). After 12 weeks of rehabilitation training, there was a significant difference in the Q/H joint contraction index between the REF group and the CON group (P <0.05), and there was no statistical difference in the other groups. After 12 weeks of rehabilitation training, there was a significant difference in the Q/H joint contraction index between the REF group and the CON group (P <0.05), and there was no statistical difference in the other groups. That is to say, after the systematic rehabilitation training proposed in this paper, the joint contraction performance of the hamstrings/quadriceps in the REF group has been significantly improved. This shows that the rehabilitation nursing under the optical microscope based on the medical Internet of Things has a good effect on the rehabilitation of the football player's side-cut running knee joint ACL injury.Entities:
Year: 2022 PMID: 36016919 PMCID: PMC9398861 DOI: 10.1155/2022/1493221
Source DB: PubMed Journal: Appl Bionics Biomech ISSN: 1176-2322 Impact factor: 1.664
General data of subjects (M ± SD).
| Index | Group NF (N =10) | Group EF (N =14) | Group EM (N =12) | Group REF (N =7) | Group CON (N =7) |
|---|---|---|---|---|---|
| Age (years) | 21.4 ± 1.4 | 18.1 ± 1.3 | 17.4 ± 1.2 | 18.0 ± 1.4 | 16.8 ± 0.8 |
| Height (cm) | 172 ± 4.2 | 173 ± 3.8 | 184 ± 4.1 | 173 ± 5.2 | 173 ± 3.1 |
| Weight (kg) | 64.7 ± 3.5 | 65.3 ± 3.1 | 83.2 ± 4.0 | 63.3 ± 3.9 | 63.2 ± 4.4 |
| Years of professional training | 6.5 ± 1.7 | 8.8 ± 1.2 | 8.7 ± 1.2 | 9.0 ± 1.4 | 8.5 ± 1.0 |
Peak value comparison of dynamic parameters of joints of elite male and female soccer players (M ± SD).
| EF(N =14) | EM(N =12) | P | ||
|---|---|---|---|---|
| Coxa coronal plane | Entropion/valgus | -13.26 ± 8.27 | -8.76 ± 5.83 | 0.042 |
| Moment | 1.91 ± 1.04 | 1.41 ± 0.33 | 0.547 | |
| Sagittal plane of hip | Flexion/extension | 47.35 ± 7.67 | 59.35 ± 10.91 | 0.021 |
| Moment | 1.61 ± 0.26 | 3.18 ± 0.52 | 0.021 | |
| Frontal surface of hip | Internal/external rotation | 11.01 ± 6.67 | 6.23 ± 4.79 | 0.013 |
| Moment | -1.03 ± 0.18 | -1.02 ± 0.21 | 0.879 | |
| Coronal plane of knee | Extension/back extension | 26.2 ± 6.68 | 27.19 ± 5.73 | 0.903 |
| Peak torque | 3.81 ± 1.01 | 3.72 ± 1.12 | 0.9385 | |
| Sagittal plane of knee | Entropion/valgus | 4.32 ± 7.08 | 5.23 ± 7.84 | 0.416 |
| Peak torque | 0.95 ± 0.92 | 0.87 ± 0.89 | 0.815 | |
| Frontal surface of knee | Internal/external rotation | 6.15 ± 7.78 | 8.23 ± 6.19 | 0.475 |
| Peak torque | 0.57 ± 0.01 | 0.59 ± 0.01 | 0.974 | |
Comparison results of kinematic parameters of male and female soccer players at landing time (M ± SD).
| EF(N =14) | EM(N =12) | P | ||
|---|---|---|---|---|
| Coxa coronal plane | Entropion/valgus | -4.36 ± 1.27 | -3.96 ± 1.83 | 0.448 |
| Moment | 0.14 ± 0.14 | 0.22 ± 0.13 | 0.537 | |
| Sagittal plane of hip | Flexion/extension | 44.8 ± 6.69 | 59.35 ± 7.91 | 0.042 |
| Moment | -0.56 ± 0.16 | -1.08 ± 0.06 | 0.022 | |
| Frontal surface of hip | Internal/external rotation | 11.01 ± 6.67 | 6.13 ± 4.79 | 0.037 |
| Moment | 0.23 ± 0.18 | 0.22 ± 0.21 | 0.973 | |
| Coronal plane of knee | Extension/back extension | 6.2 ± 1.68 | 12.19 ± 5.73 | 0.000 |
| Peak torque | 0.12 ± 0.01 | 0.09 ± 0.02 | 0.659 | |
| Sagittal plane of knee | Entropion/valgus | 21.32 ± 7.08 | 19.83 ± 7.84 | 0.845 |
| Peak torque | 0.31 ± 0.12 | 0.29 ± 0.10 | 0.891 | |
| Frontal surface of knee | Internal/external rotation | 6.15 ± 3.78 | 7.93 ± 3.19 | 0.478 |
| Peak torque | 0.52 ± 0.32 | 0.52 ± 0.30 | 0.939 | |
Figure 1Comparison of muscle contribution rate between EF group and EM group.
Figure 2Comparison of muscle contribution rate between EF group and NF group.
Figure 3Comparison of muscle contribution rate between CON group and ref group after rehabilitation training.
Comparison of the common contraction index of each muscle group of the elite male and female soccer players (M ± SD).
| Co contraction index(CI) | Grouping | M ± SD | P |
|---|---|---|---|
| GM/MH | EF | 1.21 ± 0.87 | 0.36 |
| EM | 1.58 ± 0.45 | ||
| LG/LH | EF | 1.50 ± 0.91 | 0.047 |
| EM | 2.07 ± 1.41 | ||
| HQ | EF | 0.32 ± 0.17 | 0.043 |
| EM | 0.58 ± 0.23 | ||
| VL/LH | EF | 2.47 ± 1.13 | 0.764 |
| EM | 2.29 ± 1.07 |
Figure 4Comparison of the common contraction index of different muscle groups of female olive athletes before and after rehabilitation training.
Figure 5Changes in body fat percentage of athletes.
Figure 6Changes in Muscle Weight in Athletes.