Motor Unit Numbers Estimation (MUNE) using Bayesian statistical methodology for monitoring of progression of neuromuscular diseases

非常需要一种客观地测量涉及运动单位丧失的神经肌肉疾病（例如运动神经元疾病）的病理学的手段。这将通过使用新开发的电生理技术和开发新的贝叶斯统计方法来确定供应肌肉的运动单位的数量来实现。我们的创新将可靠地确定供应正常受试者和运动神经丧失的疾病患者肌肉的运动单位的数量。 这将有助于监测疾病进展。一个成果将是一个软件包，可以与标准的电生理机器使用。

A means of objectively measuring the pathology of a neuromuscular disease involving motor unit loss, such as motor neuron disease, is much needed. This will be achieved by using newly developed electrophysiological techniques and developing new Bayesian statistical methodology to determine the number of motor units that supply a muscle. Our innovations will reliably determine the number of motor units that supply a muscle in both normal subjects and in diseased patients with loss of motor nerves. This will enable the monitoring of disease progression. An outcome will be a software package that can be used with standard electrophysiology machines.