scholarly journals Humane Non-Human Primate Model of Traumatic Spinal Cord Injury Utilizing Electromyography as a Measure of Impairment and Recovery

2013 ◽  
Vol 03 (01) ◽  
pp. 86-89 ◽  
Author(s):  
William A. Graham ◽  
Douglas L. Rosene ◽  
Susan Westmoreland ◽  
Andrew Miller ◽  
Ervin Sejdic ◽  
...  
Keyword(s):  
Spinal Cord ◽  
Spinal Cord Injury ◽  
Traumatic Spinal Cord Injury ◽  
Primate Model ◽  
Cord Injury ◽  
Human Primate

scholarly journals Humane Non-Human Primate Model of Traumatic Spinal Cord Injury: Quantitative Analysis of Electromyographic Data

2015 ◽  
Vol 05 (07) ◽  
pp. 161-168
Author(s):  
Nitin Seth ◽  
Farah Masood ◽  
John B. Sledge ◽  
William A. Graham ◽  
Douglas L. Rosene ◽  
...  
Keyword(s):  
Spinal Cord ◽  
Spinal Cord Injury ◽  
Quantitative Analysis ◽  
Traumatic Spinal Cord Injury ◽  
Primate Model ◽  
Cord Injury ◽  
Human Primate

Comparison study of classification methods of intramuscular electromyography data for non-human primate model of traumatic spinal cord injury

2020 ◽  
Vol 234 (9) ◽  
pp. 955-965
Author(s):  
Farah Masood ◽  
Maisha Farzana ◽  
Shanker Nesathurai ◽  
Hussein A. Abdullah
Keyword(s):  
Spinal Cord ◽  
Spinal Cord Injury ◽  
Time Domain ◽  
Traumatic Spinal Cord Injury ◽  
Primate Model ◽  
Cord Injury ◽  
Left And Right ◽  
Electromyography Signals ◽  
F Measure ◽  
Human Primate

Traumatic spinal cord injury is a serious neurological disorder. Patients experience a plethora of symptoms that can be attributed to the nerve fiber tracts that are compromised. This includes limb weakness, sensory impairment, and truncal instability, as well as a variety of autonomic abnormalities. This article will discuss how machine learning classification can be used to characterize the initial impairment and subsequent recovery of electromyography signals in an non-human primate model of traumatic spinal cord injury. The ultimate objective is to identify potential treatments for traumatic spinal cord injury. This work focuses specifically on finding a suitable classifier that differentiates between two distinct experimental stages (pre-and post-lesion) using electromyography signals. Eight time-domain features were extracted from the collected electromyography data. To overcome the imbalanced dataset issue, synthetic minority oversampling technique was applied. Different ML classification techniques were applied including multilayer perceptron, support vector machine, K-nearest neighbors, and radial basis function network; then their performances were compared. A confusion matrix and five other statistical metrics (sensitivity, specificity, precision, accuracy, and F-measure) were used to evaluate the performance of the generated classifiers. The results showed that the best classifier for the left- and right-side data is the multilayer perceptron with a total F-measure of 79.5% and 86.0% for the left and right sides, respectively. This work will help to build a reliable classifier that can differentiate between these two phases by utilizing some extracted time-domain electromyography features.

Neurological Recovery in Traumatic Spinal Cord Injury Patient with Delayed Surgical Intervention

2018 ◽  
Vol 1 (2) ◽  
pp. 34
Author(s):  
Mochamad Targib Alatas
Keyword(s):  
Spinal Cord ◽  
Spinal Cord Injury ◽  
Surgical Intervention ◽  
Case Series ◽  
Spinal Cord Injury Patient ◽  
Traumatic Spinal Cord Injury ◽  
Best Interest ◽  
Score Improvement ◽  
Cord Injury ◽  
Injury Patient

Early surgical treatment for traumatic spinal cord injury (SCI) patients has been proven to yield better improvement on neurological state, and widely practiced among surgeons in this field. However, it is not always affordable in every clinical setting. It is undeniable that surgery for chronic SCI has more challenges as the malunion of vertebral bones might have initiated, thus requires more complex operating techniques. In this case series, we report 7 patients with traumatic SCI whose surgical intervention is delayed due to several reasons. Initial motoric scores vary from 0 to 3, all have their interval periods supervised between outpatient clinic visits. On follow up they demonstrate significant neurological development defined by at least 2 grades motoric score improvement. Physical rehabilitation also began before surgery was conducted. These results should encourage surgeons to keep striving for the patient’s best interest, even when the injury has taken place weeks or even months before surgery is feasible because clinical improvement for these patients is not impossible. 

Epidemiology of Traumatic Spinal Cord Injury in China

2019 ◽  
Author(s):  
Dingjun Hao ◽  
Liang Yan ◽  
Baorong He ◽  
Jinpeng Du ◽  
Shicheng Yu ◽  
...  
Keyword(s):  
Spinal Cord ◽  
Spinal Cord Injury ◽  
Traumatic Spinal Cord Injury ◽  
Cord Injury
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