def process_signals(es, signal_dataframe_name, signal_column, transformations, aggregations,
                    window_size, replace_dataframe=False, **kwargs):
    '''Process signals using SigPro.

    Apply SigPro transformations and aggregations on the specified entity from the
    given entityset. If ``replace_dataframe=True``, then the old entity will be updated.

    Args:
        es (featuretools.EntitySet):
            Entityset to extract signals from.
        signal_dataframe_name (str):
            Name of the dataframe in the entityset containing signal data to process.
        signal_column (str):
            Name of column or containing signal values to apply signal processing pipeline to.
        transformations (list[dict]):
            List of dictionaries containing the transformation primitives.
        aggregations (list[dict]):
            List of dictionaries containing the aggregation primitives.
        window_size (str):
            Size of the window to bin the signals over. e.g. ('1h).
        replace_dataframe (bool):
            If ``True``, will replace the entire signal dataframe in the EntitySet with the
            processed signals. Defaults to ``False``, creating a new child dataframe containing
            processed signals with the suffix ``_processed``.
    '''