1.Relationship between classification of clinical and infarct size and electrocardiographic changes in patients with acute cerebral infarction
Fei LI ; Enhong FU ; Feng WANG
Journal of Clinical Neurology 2001;0(05):-
Objective To evaluate the relationship between classification of clinical,the infarct size in patients with acute cerebral infarction and electrocardiographic(ECG)changes.Methods The ECG were done in 216 patients with acute cerebral infarction.ECG results of the patients were analyzed according to classification of the Oxfordshire Commumity Project Criteria(OCSP)and infarct size.Results The rates of ECG abnormality in classification of OCSP were 95.5% for total anterior circulation infarction(TACI),80.4% for partial anterior circulation infarction(PACI),62.5% for posterior circulation infarction(POCI)and 48.5% for lacunar cerebral infarction(LACI).The rates of ECG abnormality of TACI and PACI were signficantly higher than that of group of LACI(P
2.OpenSim-based prediction of lower-limb biomechanical behavior in adolescents with plantarflexor weakness
Enhong FU ; Hang YANG ; Cheng LIANG ; Xiaogang ZHANG ; Yali ZHANG ; Zhongmin JIN
Chinese Journal of Tissue Engineering Research 2025;29(9):1789-1795
BACKGROUND:The plantarflexor weakness is a common muscle defect in patients with spastic cerebral palsy and Charcot-Marie-Tooth,which clinically manifests abnormal gaits,and the relationship between plantarflexor weakness and abnormal gaits is unclear. OBJECTIVE:To explore the biomechanical behavior of the lower limb under the action of a single factor of plantarflexor weakness to reveal the mechanism of abnormal gait induced by plantarflexor weakness and to provide guidance for the rehabilitation training of patients with plantarflexor weakness. METHODS:A predictive framework of musculoskeletal multibody dynamics in the sagittal plane was established based on OpenSim Moco to predict lower limb joint angles and muscle activation changes during walking in normal subjects.The validity of the framework was verified by combining the inverse kinematics and electromyogram activation time of the experimental data.Reduced isometric muscle forces were used to model plantarflexor weakness and to compare predicted lower extremity joint angles,joint moments,and muscle energy expenditure with normal subjects to analyze the effects of plantarflexor weakness on lower extremity biomechanics. RESULTS AND CONCLUSION:(1)The Moco-based prediction framework realistically predicted the biomechanical changes of the lower limbs during walking in normal subjects(joint angles:normalized correlation coefficient≥0.73,root mean square error≤7.10°).(2)The musculoskeletal model used a small stride support phase to increase the"heel-walking"gait during plantarflexor weakness.When the plantarflexor weakness reached 80%,the muscle energy expenditure was 5.691 4 J/kg/m,and the maximum activation levels of the gastrocnemius and soleus muscles were 0.72 and 0.53,which might cause the plantarflexor weakness patients to be more prone to fatigue when walking.(3)Muscle energy expenditure was significantly higher when the weakness of plantarflexors exceeded 40%,and the joint angles and moments of the lower limbs deteriorated significantly when the weakness of plantarflexors exceeded 60%,suggesting that there may be a"threshold"for the effect of plantarflexor weakness on gait,which may correspond to the point at which health care professionals should intervene in the clinical setting.