mules.py 文件源码

python
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项目:Wall-EEG 作者: neurotechuoft 项目源码 文件源码
def getdata(self, seconds, flush=True ):
        """
            Flush all the Data present in MuLES buffer and, 
            Request and Retrieve a certain amount of Data indicated as seconds
            Data returned has the shape [seconds * sampling_frequency, channels] 

            Argument:
            seconds: used to calculate the amount of samples requested n_samples
                     n_samples = seconds * sampling_frequency
            flush:   Boolean, if True send the command Flush before getting Data,
                     Defaul = True
        """        
        if flush:        
            self.flushdata()

        # Size of data requested
        n_samples = int(round(seconds * self.params['sampling frequency']))
        n_columns = len(self.params['data format'])
        data_buffer = -1 * np.ones((n_samples, n_columns)) 

        while (data_buffer[0, n_columns - 1]) < 0 : #While the first row has not been rewriten
            new_data = self.getalldata()
            new_samples = new_data.shape[0]
            data_buffer = np.concatenate((data_buffer, new_data), axis =0)
            data_buffer = np.delete(data_buffer, np.s_[0:new_samples], 0)

        return data_buffer
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