Aim:?To elucidate the pattern of presentation and management of traumatic major joint dislocations as seen in Irrua Specialist Teaching Hospital. Method: A five-year retrospective review of 44 cases in 43 patients. Da...Aim:?To elucidate the pattern of presentation and management of traumatic major joint dislocations as seen in Irrua Specialist Teaching Hospital. Method: A five-year retrospective review of 44 cases in 43 patients. Data were retrieved from the Medical Records Department of the hospital. Results:?Forty-four cases of traumatic dislocations were reviewed in 43 patients. Male to female ratio was 7.6:1. Median age was 33 years. The majority of patients were in the 3rd?decade of life. Patients below 40 years accounted for 62.79% of cases. Twenty-four (55.81%) patients had hip dislocation. Knee dislocations were the least, accounting for 2.32% of cases. All cases except three resulted from road traffic accidents (RTAs). None had neurologic deficits. Nineteen (44.23%) patients had isolated injuries. 76.7% cases presented in less than 6 hours. All shoulder dislocations were anterior while all elbow dislocations were posterior. All except 3 cases were managed by closed manipulation under general anaesthesia. Two patients died from associated head injury. Fourteen patients discharged against medical advice while recuperating in the ward. Follow-up was however difficult as a significant number did not turn up. Conclusion: Hip dislocation is the commonest variety of traumatic dislocation in our setting. A majority of cases were amenable to closed manipulation and immobilization. Road traffic accidents accounted for the majority.展开更多
According to the theory of Matsuoka neural oscillators and with the con- sideration of the fact that the human upper arm mainly consists of six muscles, a new kind of central pattern generator （CPG） neural network c...According to the theory of Matsuoka neural oscillators and with the con- sideration of the fact that the human upper arm mainly consists of six muscles, a new kind of central pattern generator （CPG） neural network consisting of six neurons is pro- posed to regulate the contraction of the upper arm muscles. To verify effectiveness of the proposed CPG network, an arm motion control model based on the CPG is established. By adjusting the CPG parameters, we obtain the neural responses of the network, the angles of joint and hand of the model with MATLAB. The simulation results agree with the results of crank rotation experiments designed by Ohta et al., showing that the arm motion control model based on a CPG network is reasonable and effective.展开更多
文摘Aim:?To elucidate the pattern of presentation and management of traumatic major joint dislocations as seen in Irrua Specialist Teaching Hospital. Method: A five-year retrospective review of 44 cases in 43 patients. Data were retrieved from the Medical Records Department of the hospital. Results:?Forty-four cases of traumatic dislocations were reviewed in 43 patients. Male to female ratio was 7.6:1. Median age was 33 years. The majority of patients were in the 3rd?decade of life. Patients below 40 years accounted for 62.79% of cases. Twenty-four (55.81%) patients had hip dislocation. Knee dislocations were the least, accounting for 2.32% of cases. All cases except three resulted from road traffic accidents (RTAs). None had neurologic deficits. Nineteen (44.23%) patients had isolated injuries. 76.7% cases presented in less than 6 hours. All shoulder dislocations were anterior while all elbow dislocations were posterior. All except 3 cases were managed by closed manipulation under general anaesthesia. Two patients died from associated head injury. Fourteen patients discharged against medical advice while recuperating in the ward. Follow-up was however difficult as a significant number did not turn up. Conclusion: Hip dislocation is the commonest variety of traumatic dislocation in our setting. A majority of cases were amenable to closed manipulation and immobilization. Road traffic accidents accounted for the majority.
基金supported by the National Natural Science Foundation of China(Nos.11232005 and11472104)
文摘According to the theory of Matsuoka neural oscillators and with the con- sideration of the fact that the human upper arm mainly consists of six muscles, a new kind of central pattern generator （CPG） neural network consisting of six neurons is pro- posed to regulate the contraction of the upper arm muscles. To verify effectiveness of the proposed CPG network, an arm motion control model based on the CPG is established. By adjusting the CPG parameters, we obtain the neural responses of the network, the angles of joint and hand of the model with MATLAB. The simulation results agree with the results of crank rotation experiments designed by Ohta et al., showing that the arm motion control model based on a CPG network is reasonable and effective.
