From 1a803371d768afc6ae7bfcaa1a48f7e92f0fd0bb Mon Sep 17 00:00:00 2001
From: LexvanGastel <l.vangastel@studen.utwente.nl>
Date: Thu, 3 Apr 2025 11:14:06 +0200
Subject: [PATCH] Text and input
---
Q2main.py | 2 +-
Q3main.py | 52 ++++++++++++++++++++++++++++++----------------------
2 files changed, 31 insertions(+), 23 deletions(-)
diff --git a/Q2main.py b/Q2main.py
index ee85e4a..479cc66 100644
--- a/Q2main.py
+++ b/Q2main.py
@@ -48,7 +48,7 @@ class ImageProcessor:
return red_mask, yellow_mask, green_mask
-def detect_blobs(mask, min_sigma=5, max_sigma=50, num_sigma = 10, threshold=0.5):
+def detect_blobs(mask, min_sigma=5, max_sigma=30, num_sigma = 10, threshold=0.2):
mask = mask.astype(np.float64) / 255.0
#print('mask made')
blobs = blob_log(mask, min_sigma=min_sigma, max_sigma=max_sigma, num_sigma=num_sigma, threshold=threshold)
diff --git a/Q3main.py b/Q3main.py
index 485bda4..22a504a 100644
--- a/Q3main.py
+++ b/Q3main.py
@@ -1,27 +1,35 @@
import scipy.io
-# Load the .mat file
-mat_file = 'emg_data_walking.mat'
-data = scipy.io.loadmat(mat_file)
+def load_emg_data(file_path):
+ """
+ Laadt EMG-gegevens uit een .mat bestand en retourneert de kanaalnamen.
+ """
+ try:
+ mat_data = scipy.io.loadmat(file_path)
+ emg_data = mat_data.get('emg_data_walking')
+
+ if emg_data is None:
+ raise KeyError("De verwachte variabele 'emg_data_walking' is niet in het bestand aanwezig.")
+
+ channel_names = [ch[0] for ch in emg_data['data_headers'][0][0][0]]
+
+ print("EMG-kanalen:")
+ for idx, name in enumerate(channel_names):
+ print(f"{idx}: {name}")
+
+ return channel_names
+ except Exception as e:
+ print(f"Fout bij het laden van het EMG-bestand: {e}")
+ return []
-# Display the keys in the loaded structure
-print("Keys in the loaded .mat file:", data.keys())
+file_path = "emg_data_walking.mat"
+channel_names = load_emg_data(file_path)
-# Analyze the structure of the data (check what is inside the 'data' dictionary)
-# This will help you understand what variables are present
-for key, value in data.items():
- print(f"Key: {key}, Type: {type(value)}")
- print(f"Value shape: {value.shape if hasattr(value, 'shape') else 'N/A'}\n")
+# Gekozen spieren met validatie
+chosen_muscles = {
+ 'rectus_femoris': 0,
+ 'tibialis_anterior': 7
+}
-# Now, assuming the EMG channels are contained in a variable called 'emgChannels'
-# You will need to adjust the field name depending on the structure of your file
-if 'emgChannels' in data:
- emg_channels = data['emgChannels']
-
- # If 'emgChannels' contains the names, extract and display them
- if isinstance(emg_channels, np.ndarray) and emg_channels.ndim == 2:
- print("\nEMG Channel Names:")
- for channel in emg_channels.flatten():
- print(channel)
-else:
- print("\n'EMG channels' not found in the data. Please check the structure.")
\ No newline at end of file
+valid_muscles = {name: idx for name, idx in chosen_muscles.items() if idx < len(channel_names)}
+print(f"Gekozen spieren: {valid_muscles}")
--
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