diff --git a/src/analysis.py b/src/analysis.py
index d81a95a..b5aef39 100644
--- a/src/analysis.py
+++ b/src/analysis.py
@@ -527,7 +527,7 @@ class AnalysisProcedure(QObject):
 
         # returns indices of peaks, and dictionary of properties
         y1_peaks_pre = signal.find_peaks(self.y1_sample, height=height,
-                                         distance=10)
+                                         distance=self.signal_min_peak_distance)
 
         print(
             'peak length==>', len(
@@ -543,7 +543,7 @@ class AnalysisProcedure(QObject):
         y1_height = min_y1_p * 0.9  # y1_peaks_avg * 0.726667
 
         y2_peaks_pre = signal.find_peaks(self.y2_sample, height=height,
-                                         distance=10)
+                                         distance=self.signal_min_peak_distance)
         ##y2_peaks_avg = np.average(y2_peaks_pre[1]['peak_heights'])
 
         min_y2_p = np.min(y2_peaks_pre[1]['peak_heights'])
@@ -555,9 +555,11 @@ class AnalysisProcedure(QObject):
         print(f'AVG = {y1_height}, {y2_height}', flush=True)
 
         y1_peaks = signal.find_peaks(
-            self.y1_sample, height=y1_height, distance=10)
+            self.y1_sample, height=y1_height,
+            distance=self.signal_min_peak_distance)
         y2_peaks = signal.find_peaks(
-            self.y2_sample, height=y2_height, distance=10)
+            self.y2_sample, height=y2_height,
+            distance=self.signal_min_peak_distance)
         print((f'PEAKS==> {y1_peaks}, {y2_peaks},' +
                f'{len(y1_peaks[0])}, {len(y2_peaks[0])}'), flush=True)
         print(y1_peaks[1]['peak_heights'], flush=True)