Neuromuscular disease classification system

Sparse Classification with MRI Based Markers for Neuromuscular Disease Categorization

In this paper, we present a novel method for disease classification between two patient populations based on features extracted from Magnetic Resonance Imaging (MRI) data. Anatomically meaningful features are extracted from structural data (T1and T2-weighted MR images) and Diffusion Tensor Imaging (DTI) data, and used to train a new machine learning algorithm, the k-support SVM (ksup-SVM). The ...

Statistical Technique for Classification of MUAPs for Neuromuscular disease

The Electromyograph (EMG) is useful to know the state of a patient under medical diagnosis and treatment. As the number of neuromuscular patients is increasing, it is not possible to take care of all the neuromuscular patients by carrying out manual investigations under all the conditions. Therefore it is required to design a computer aided expert system which can analyze and interpret the EMG ...

overview of neuromuscular disease

neuromuscular disorders encompass a broad spectrum of disorders from the anterior horn cell to the muscle tissue itself. the given condition can be either genetic or acquired. these group of disorders are diagnostically challenging as many of them also pose other systemic findings. one example would the commonly seen mental retardation in duchenne muscular dystrophy. from the practical point of...

rehabilitation in neuromuscular disease

neuromuscular diseases are abnormal processes involving cns (central nervous system), pns (peripheral nervous system), nmj (neuromuscular junction), muscle or any combination of these. our goals in neuromuscular disease are maintenance of function, quality of life, educate patient and family, anticipate needs, expect change and prevent or delay complications. limb contractures and scoliosis, we...

Neuromuscular Disease.