Python in medicine: signal processing learning and visualization of temporal data
Conference contribution
EuroScipy 2018, 21/09/2018
The analysis of high dimensional time series is nowadays of wide interest, not only in many fields of science but also for more practical and technical applications in industry. Python represents a convenient and easy way to: perform in optimal time mathematical operations, integrate signal processing tools import external libraries integrate the whole preprocessing procedure with learning tools visualize nicely/export through Bokeh for third parts which are not familiar to computers. In this talk I will describe a joint work to make sense out of electroencephalography data for the identification of the epileptogenic area in focal epilepsy patients.