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find Keyword "Muscle strength" 3 results
  • MEASUREMENT OF STRENGTH OF THIGH MUSCLES THROUGH ARTHROSCOPE AFTER RECONSTRUCTION OF ANTERIOR CRUCIATE LIGAMENT

    OBJECTIVE: To observe the strength of thigh muscles after reconstruction of anterior cruciate ligament by autogenous bone-patellar tendon-bone graft. METHODS: Twenty-three patients, 9 males and 14 females, were followed up one year after reconstruction of the anterior cruciate ligament with autogenous bone-patellar tendon-bone graft. Through arthroscope, no intra-articular derangement was found. The strengths of isometric and isotonic contractions of the quadri ceps and the hamstrings muscles of the affected and contralateral thighs were recorded. RESULTS: The donor side for autogenous bone-patellar tendon-bone graft showed significant decrease (P lt; 0.01), but no effect on that of the hamstrings muscle(P gt; 0.05). CONCLUSION: To reconstruct the anterior cruciate ligament, harvest of the bone-patellar tendon-bone graft as a reparative material may markedly lower the strength of the quadriceps femoris muscle.

    Release date:2016-09-01 11:05 Export PDF Favorites Scan
  • Comparison between Pulsed Electromagnetic Field and Alendronate in the Treatment of Postmenopausal Osteoporosis

    ObjectiveTo compare the clinical effects of pulsed electromagnetic fields (PEMFs) with oral alendronate in the treatment of postmenopausal osteoporosis. MethodsFourty patients diagnosed to have postmenopausal osteoporosis (OP) from September 2009 to September 2010 were included in our study. They were randomly divided into the experimental group and the control group. All patients were administered the same basic drugs:Caltrate 600 mg and Alfacalcidol 0.5 μg per day. For the experimental group, PEMFs were offered 6 times per week for 5 weeks (30 times in total), and patients in this group were followed up for 12 weeks. For the control group, alendronate was given at a dose of 70 mg per week for 12 weeks. Bone mineral density (BMD), visual analogue scale, and manual muscle testing (MMT) scale were evaluated before, 1 week, 5 weeks, and 12 weeks after intervention. ResultsIncreasing of BMD, pain relieving, and improvement of MMT had a trend of increasing values after 5 weeks of treatment in the experimental group (P<0.05), but there was no significant difference between the two groups (P>0.05). However, there was a significant difference between the two groups in patients' lower back muscle strength after treatment (P<0.05). ConclusionPEMFs have the same effect as alendronate in pain relief, and bone mass and muscle strength improvement, and are even advantageous in increasing back muscle strength compared with alendronate.

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  • Research on multi-scale convolutional neural network hand muscle strength prediction model improved based on convolutional attention module

    In order to realize the quantitative assessment of muscle strength in hand function rehabilitation and then formulate scientific and effective rehabilitation training strategies, this paper constructs a multi-scale convolutional neural network (MSCNN) - convolutional block attention module (CBAM) - bidirectional long short-term memory network (BiLSTM) muscle strength prediction model to fully explore the spatial and temporal features of the data and simultaneously suppress useless features, and finally achieve the improvement of the accuracy of the muscle strength prediction model. To verify the effectiveness of the model proposed in this paper, the model in this paper is compared with traditional models such as support vector machine (SVM), random forest (RF), convolutional neural network (CNN), CNN - squeeze excitation network (SENet), MSCNN-CBAM and MSCNN-BiLSTM, and the effect of muscle strength prediction by each model is investigated when the hand force application changes from 40% of the maximum voluntary contraction force (MVC) to 60% of the MVC. The research results show that as the hand force application increases, the effect of the muscle strength prediction model becomes worse. Then the ablation experiment is used to analyze the influence degree of each module on the muscle strength prediction result, and it is found that the CBAM module plays a key role in the model. Therefore, by using the model in this article, the accuracy of muscle strength prediction can be effectively improved, and the characteristics and laws of hand muscle activities can be deeply understood, providing assistance for further exploring the mechanism of hand functions.

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