bag-of-words representation for biomedical time series classificaiton

a simple yet effective bag-of-words representation for biomedical time series, such as EEG and ECG.

We treats a time series as a text document and extracts local segments from the time series as words. The biomedical time series is then represented as a histogram of codewords, each entry of which is the count of a codeword occurred in the time series.