摘要：Multiple sclerosis (MS) is a chronic disease afecting millions of people worldwide . Through the demyelinating and axonal pathology of MS, the signal conduction in the central nervous system is afected . Evoked potential measurements allow clinicians to monitor this process and can be used for decision support . We share a dataset that contains motor evoked potential (MEP) measurements, in which the brain is stimulated and the resulting signal is measured in the hands and feet . This results in time series of 100 milliseconds long . Typically, both hands and feet are measured in one hospital visit . The dataset contains 5586 visits of 963 patients, performed in day-to-day clinical care over a period of 6 years . The dataset consists of approximately 100,000 MEP. Clinical metadata such as the expanded disability status scale, sex, and age is also available . This dataset can be used to explore the role of evoked potentials in MS research and patient care. It may also be used as a benchmark for time series analysis and predictive modelling .
