Biomedical signal processing involves the study and analysis of electrical signals generated by the human body, such as ECG, EEG, and EMG. These experiments introduce students to biomedical signals, their acquisition using medical instruments, and their importance in health monitoring. Students learn to record physiological signals, apply filters to remove noise, and analyze important parameters like heart rate and waveform components. The experiments help in understanding real-time biomedical systems and their applications in medical diagnostics.
The objective of this virtual lab is to equip students with essential theoretical and practical knowledge of biomedical signal acquisition and processing. It aims to enhance understanding of key biomedical signals such as ECG, EEG, and EMG, their physiological relevance, and methods of monitoring using biomedical systems. The lab enables students to identify ECG wave components, determine heart rate, and apply various signal processing techniques like filtering. This virtual simulation supports outcome-based learning by fostering analytical skills, encouraging experimentation, and providing an environment for exploring biomedical signal analysis aligned with academic curricula.
- UG
- 2nd Year and 3rd Year
- PG
The syllabi of this lab aligns to the following universities in India.
- Osmania University, Hyderabad; BME 692; B.Tech (ECE)
- Maulana Abul Kalam Azad University of Technology (MAKAUT), West Bengal; PC-BME601; B.Tech (ECE)
- JC Bose University of Science and Technology, YMCA, Faridabad; MSPE206; B.Tech (ECE)