improvement and stability

EStiMo_GUI.py

@@ -5,6 +5,9 @@ Created on Tue Nov 23 11:11:41 2021
 
 @author: adamr
 """
+import sys, os
+sys.path.append(os.path.dirname(os.path.abspath(__file__))) 
+
 from connection import NeurOne, RDA
 # import RDA
 
@@ -215,7 +218,7 @@ def acquire_data(q, size, run, speed, downsample, sleep_time, ip = '192.168.200.
     run: Value class from multiprocessing library. That value can be changed in main process
     downsample: boolean value. Says if data will be downsampled to 1000 Hz
     sleep_time: int, set how often function should refresh. Usually it takes a bit more that that"""
-    offline = 'offline'
+    # offline = 'offline'
     #import NeurOne_v3
     if offline=="offline":
         NO = NeurOneOffline()
@@ -247,7 +250,7 @@ class AppForm(QMainWindow):
     def __init__(self, passed_params = None, parent=None):
         super().__init__()
         #self.setStyleSheet("background: whitesmoke")
-        self.offline = "offline" #'NeurOne' #"BrainProducts"#False
+        self.offline = None #"offline" #'NeurOne' #"BrainProducts"#False
         self.time_start = time.time()
         QMainWindow.__init__(self, parent)
         self.montage_file_path = 'montage_18ch.csv'
@@ -416,12 +419,13 @@ class AppForm(QMainWindow):
             self.remove_outliers = passed_params['remove_outliers']
             self.ip = passed_params['ip']
             self.port = passed_params['port']
-            self.offline = self.offline if not None else passed_params['offline']
+            self.offline = self.offline if not self.offline==None else passed_params['offline']
             self.exp_trig = passed_params['exp_trig']
             self.exp_time = passed_params['exp_time']
             self.if_percentage = passed_params['percentages']
             self.received_thr_values = passed_params['thr_values']
             self.plot_len = passed_params['plot_len']
+            print(self.offline)
         else:
             self.montage_file_path = 'montage_18ch.csv'
             self.time_between_bursts = int(settings_file[settings_file[0]=='time_between_trains'].values[0][1])
@@ -445,6 +449,7 @@ class AppForm(QMainWindow):
             self.offline = False
             self.plot_len = 4 #length of data to plot (last seconds of data array)
             
+        
         self.unit_label = np.array(self.unit_label)[self.used_features]
         self.log_file_writer.writerow(['time', 'state', self.used_features])
         
@@ -743,7 +748,7 @@ class AppForm(QMainWindow):
             self.timer.setInterval(int(self.speed_general*1.03))
             
         times = time.time()
-        self.offline='offline' #remove this!
+        # self.offline='offline' #remove this!
         if self.offline=="offline":
             incl = [0,2,6,7,8,10,13,16,18,22,25,28,31,34,41,43,-3,-2,-1] # For offline only
             loaded_temp = self.q.get()[incl]/10 # Load data

Electrode_selection.txt

@@ -0,0 +1,2 @@
+full_cap_file_path: C:/Users/Basics/Desktop/new_super_important_study/TMS Trains/Up to date version/estimo-master (1)/estimo-master/settings/easycap-M10_63_NO.txt
+cap_file_path: C:/Users/Basics/Desktop/new_super_important_study/TMS Trains/Up to date version/estimo-master (1)/estimo-master/settings/easycap-M10_16_NO.txt

README.md

@@ -2,12 +2,6 @@
 EStiMo is a sophisticated software developed for the purpose of real-time monitoring during Transcranial Magnetic Stimulation (TMS) sessions. This is accomplished by conducting a real-time analysis of Electroencephalography (EEG) signals. Its operational mechanics are contingent on a suite of features that are computed online and visually represented on the display interface. The computation of these values takes place in between the trains of TMS.
 
 ## Installation
-To install all required library use:
-
-```
-pip install -r requirements.txt
-```
-
 EStiMo is designed to be conveniently portable and as such, does not necessitate a typical installation procedure. However, the pre-requisite for running this software smoothly is a Python 3 environment, ideally version 3.8. Alongside Python, several other libraries are necessary for full functionality, including: time, matplotlib, mne, inspect, sys, os, random, scipy, PyQt5, multiprocessing, pandas, json, cycler, traceback, and csv.
 The EStiMo package is comprised of 6 distinct Python script files namely: FirstWindow.py, Functions.py, NeurOne.py, RDA.py, and EStiMo_GUI.py. Additionally, there are certain auxiliary files that facilitate the running of the software. The 'TMS_protocol.txt' file includes the default settings for the application. The 'electrode_selection.txt' file contains the directories for files related to electrode placement. Lastly, the package also includes a csv file that possesses a square matrix, which is integral for defining the relationships between the various channels.
 

connection/__init__.py

@@ -0,0 +1,3 @@
+import sys, os
+# sys.path.append("..")
+sys.path.append(os.path.dirname(os.path.abspath(__file__))) 

settings/Electrode_selection.txt

@@ -1,2 +1,2 @@
-full_cap_file_path: /home/adamr/Documents/PYTHON/TMS TV/EStiMo/settings/easycap-M10_63_NO.txt
+full_cap_file_path: settings/easycap-M10_63_NO.txt
-cap_file_path: /home/adamr/Documents/PYTHON/TMS TV/EStiMo/settings/easycap-M10_16_NO.txt
+cap_file_path: settings/easycap-M10_16_NO.txt