Online Augmentation Functions

Author: Sayed-Hossein-Hosseini

RhythmAttention_Hybrid_CNN_Transformer_Architecture_for_Arrhythmia_Classification.ipynb

@@ -196,6 +196,31 @@
         "for cls, w in class_weights_dict.items():\n",
         "    print(f\"  Class {cls}: {w:.4f}\")"
       ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "## **Online Augmentation Functions**"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": 5,
+      "metadata": {},
+      "outputs": [],
+      "source": [
+        "# 6. Define physiological augmentation functions\n",
+        "def add_gaussian_noise(signal, noise_level=0.005):\n",
+        "    \"\"\"Adds random Gaussian noise to mimic muscle artifacts or device interference.\"\"\"\n",
+        "    noise = np.random.normal(0, noise_level, signal.shape)\n",
+        "    return signal + noise\n",
+        "\n",
+        "def apply_amplitude_scaling(signal, factor_range=(0.9, 1.1)):\n",
+        "    \"\"\"Scales the amplitude to mimic different signal strengths across patients.\"\"\"\n",
+        "    factor = np.random.uniform(factor_range[0], factor_range[1])\n",
+        "    return signal * factor"
+      ]
     }
   ],
   "metadata": {