diff --git a/Q2main.py b/Q2main.py
index e69de29bb2d1d6434b8b29ae775ad8c2e48c5391..af4ad412686364f56c166382bece1b33370046f3 100644
--- a/Q2main.py
+++ b/Q2main.py
@@ -0,0 +1,26 @@
+
+class ImageProcessor:
+    def __init__(self, image_path):
+        self.image
+        self.image_rgb
+        self.image_hsv
+
+    def apply_median_filter(self, kernel_size):
+        return filterd_image
+
+    def get_color_channels(self):
+        return red_channel, green_channel, blue_channel
+    
+    def convert_to_hsv(self):
+        return hsv_image
+    
+class Plotter:
+    def __init__(self):
+        pass
+    
+    def plot_image_channels(self, image):
+        return None
+    
+    def plot_histograms(self, image):
+        return None
+        
\ No newline at end of file
diff --git a/main.py b/main.py
index 035bb00ace5dc461fadcba80b9fd538b8461d3ea..76c6194722770ec061c7119fa98482bb8612e3b6 100644
--- a/main.py
+++ b/main.py
@@ -1,6 +1,6 @@
 import scipy.io
 import numpy as np
-from scipy.signal import butter, filtfilt
+from scipy.signal import butter, filtfilt, find_peaks
 import matplotlib.pyplot as plt
 
 def load_emg_data(file_path):
@@ -130,6 +130,25 @@ def plot_emg_data(file_path):
     freq_rf, fft_rf = compute_fft(envelope_rf, sampling_rate)
     freq_ta, fft_ta = compute_fft(envelope_ta, sampling_rate)
 
+    peaks_rf, _ = find_peaks(envelope_rf)
+    peaks_ta, _ = find_peaks(envelope_ta)
+
+    num_peaks_rf = len(peaks_rf)
+    num_peaks_ta = len(peaks_ta)
+
+    max_value_rf = np.max(envelope_rf)
+    max_value_ta = np.max(envelope_ta)
+
+    area_rf = np.trapz(envelope_rf, time_vector)
+    area_ta = np.trapz(envelope_ta, time_vector)
+
+    print(f"1.Numbers of EMG peaks Rectus Femoris: {num_peaks_rf}")
+    print(f"1.Numbers of EMG peaks Tibialis Anterior: {num_peaks_ta}")
+    print(f"2. Maximale peak Rectus Femoris: {max_value_rf}")
+    print(f"2. Maximale peak Tibialis Anterior: {max_value_ta}")
+    print(f"3. Area under Curve Rectus Femoris {area_rf}")
+    print(f"3. Area under Curve Tibialis Anterior {area_ta}")
+
     plt.figure(figsize=(13,8))
 
     plt.subplot(2, 2, 1)