AI in Bio-Medical Instrumentation Lab

List of Experiments / Activities

1. AI in Bio-Medical Instrumentation Lab 0L:0T:2P 1 Credit
2. SUGGESTIVE LIST OF EXPERIMENTS:
3. 1ECG Signal Classification Using Machine Learning Objective: Record ECG signals and classify them as normal or abnormal using ECG sensor, DAQ module, MATLAB/Python.
4. 2EEG-Based Brain State Detection Objective: Identify mental states like relaxed, focused, or drowsy using EEG headset (e.g., Emotiv, NeuroSky), PC with Python.
5. 3Glucose Level Prediction from Physiological Parameters Objective: Predict glucose levels using non-invasive data (e.g., pulse, BP) using Pulse sensor & BP monitor.
6. 4Heart Rate Monitoring & Arrhythmia Detection Objective: Detect arrhythmia from heart rate variability (HRV) using Pulse sensor or ECG module.
7. 5Biomedical Image Segmentation (e.g., X-ray or MRI) Objective: Segment key organs or anomalies using AI. [Tool: Open-source datasets (e.g., NIH Chest X- ray), Python with Keras/TensorFlow]
8. 6Oximeter Signal Analysis and SpO₂ Estimation Objective: Analyze photoplethysmogram (PPG) signals for oxygen saturation using Pulse oximeter module.
9. 7AI-Based Gait Analysis Using Wearable Sensors Objective: Detect abnormal walking patterns for early disease detection using IMU sensors, Smartphone sensors.
10. 8To study Auditory system check-up using Audiometer.
11. 9To Measure Skin Conductance and Skin Potential using Galvanic Skin Response Module,
12. 10Conduct Electromyogram test using EMG biofeedback Trainer.