diff --git a/jogging_dashboard_browser_app.py b/jogging_dashboard_browser_app.py
index 1f4e63f..22ead45 100644
--- a/jogging_dashboard_browser_app.py
+++ b/jogging_dashboard_browser_app.py
@@ -1115,30 +1115,41 @@ def create_heart_rate_plot(df):
         max_hr_estimated = 200  # oder z. B. 220 - alter
 
         ## Definiere feste HR-Zonen in BPM
-        #zones = [
-        #    {"name": "Zone 1", "lower": 0,   "upper": 124, "color": "#F4A4A3"}, # Regeneration (Recovery)
-        #    {"name": "Zone 2", "lower": 124, "upper": 154, "color": "#EF7476"}, # Grundlagenausdauer (Endurance)
-        #    {"name": "Zone 3", "lower": 154, "upper": 169, "color": "#EA4748"}, # Tempo (Aerob)
-        #    {"name": "Zone 4", "lower": 169, "upper": 184, "color": "#E02628"}, # Schwelle (Threshold) (Anaerob)
-        #    {"name": "Zone 5", "lower": 184, "upper": max_hr_estimated, "color": "#B71316"}, # Neuromuskulär (Neuromuskulär)
-        #]
         zones = [
-            {"name": "Zone 1", "lower": 0,   "upper": 124, "color": "#4A4A4A"}, # Regeneration (Recovery) (#111111 Transparent)
+            {"name": "Zone 0", "lower": 0,   "upper": 40,  "color": "#333333"}, # Unrealistischer Wertebereich
+            {"name": "Zone 1", "lower": 40,  "upper": 124, "color": "#4A4A4A"}, # Regeneration (Recovery) (#111111 Transparent)
             {"name": "Zone 2", "lower": 124, "upper": 154, "color": "#87CEFA"}, # Grundlagenausdauer (Endurance)
             {"name": "Zone 3", "lower": 154, "upper": 169, "color": "#90EE90"}, # Tempo (Aerob)
             {"name": "Zone 4", "lower": 169, "upper": 184, "color": "#FFDAB9"}, # Schwelle (Threshold) (Anaerob)
             {"name": "Zone 5", "lower": 184, "upper": max_hr_estimated, "color": "#FFB6C1"}, # Neuromuskulär (Neuromuskulär)
         ]
 
-        # Zeichne Zonen als Hintergrund (horizontale Rechtecke)
+        # Berechne die Anzahl der Werte in jeder Zone
+        total_count = len(valid_hr)
         for zone in zones:
+            # Filter für die Zone
+            zone_count = valid_hr[(valid_hr >= zone["lower"]) & (valid_hr < zone["upper"])].count()
+            zone_percentage = (zone_count / total_count) * 100 if total_count > 0 else 0
+
+            # Zeichne die Zone als Hintergrund
             fig.add_hrect(
                 y0=zone["lower"], y1=zone["upper"],
                 fillcolor=zone["color"],
                 opacity=0.15,
                 line_width=0,
-                annotation_text=zone["name"],  # optional: Name der Zone einblenden
-                annotation_position="top left"
+            )
+
+            # Annotation für die Zone (Name und Prozentsatz)
+            fig.add_annotation(
+                x=df['time_loc'].iloc[-1],  # Rechts am Plot
+                y=zone["upper"] -6 ,  # Oben in der Zone
+                #y=(zone["lower"] + zone["upper"]) / 2,   # Falls Pos. mittig je Zone gewünscht
+                text=f"{zone['name']}<br>{zone_percentage:.1f}%",
+                showarrow=False,
+                font=dict(color="white", size=10),
+                align="left",
+                bgcolor="rgba(0,0,0,0.5)",
+                bordercolor="gray",
             )
 
     # Layout
@@ -1155,7 +1166,7 @@ def create_heart_rate_plot(df):
         ),
         yaxis=dict(
             title='Herzfrequenz (bpm)',
-            range=[80, 200]  # Statt rangemode='tozero'
+            range=[70, 200]  # instead of: rangemode='tozero'
         ),
         template='plotly_dark',
         paper_bgcolor='#1e1e1e',