Removed a reference to the old wavelet transform library in the bench…

…marking section

README.rst

@@ -132,14 +132,14 @@ Benchmarking
 
 `run_all_benchmarks.py` calculates the R peak timestamps
 for all detectors, the true/false detections/misses and
-saves them in .csv files. See the scripts how to obtain the
-ECG data such as the MIT db.
+saves them in .csv files. Open the script itself or use python's
+help function of how to obtain the ECG data such as the MIT db.
 
-`show_stats_plots.py` takes then the .csv files displays
+`show_stats_plots.py` takes then the .csv files, displays
 the results of the different detectors and calculates the stats.
 
 `hrv_time_domain_analysis.py` performs a timedomain analysis
-between sitting and a math test using the Engzee detector and
+between sitting and a math test using the EngZee detector and
 the wavelet detector for comparison.
 
 

tester_MITDB.py

@@ -1,6 +1,5 @@
 import numpy as np
 import pandas as pd
-import wfdb
 import _tester_utils
 import pathlib
 import os