Biosignal Acquisition and Processing

The analog front-end is crucial for amplifying and filtering raw ECG signals, ensuring accurate and noise-free data acquisition. Digital signal processing offers significant advantages, such as precise filtering, real-time analysis and an improved signal-to-noise ratio. Successful ECG signal acquisition also demands high-resolution Analog-to-Digital Converters (ADCs) and robust algorithms to manage various signal interferences and artifacts. This demo utilizes these features to create an effective, low-cost signal pathway for obtaining reliable and usable ECG data.

The ECG analog front-end is engineered to optimize signal quality through a series of critical components. It utilizes differential amplifiers to enhance signal integrity, high- and low-pass filtering to eliminate noise and unwanted frequencies and an ADC driver to ensure accurate digital conversion. This robust setup enables precise and dependable ECG signal acquisition, forming the foundation for effective data analysis.

The QRS detection algorithm, running on our 32-bit SAM E54 MCU, is designed to identify the critical QRS complex within an ECG signal, which is essential for heart rate analysis. This algorithm uses a filtered derivative and a moving average filter based on the well-established Pan-Tompkins method to ensure precise detection of the QRS complex. By leveraging these advanced techniques, the algorithm provides accurate and reliable heart rate monitoring.

• MCP6N16 Zero-Drift Instrumentation Amplifier
• MCP6286 Low-Noise, Low-Power Op Amp
• MCP6021 Rail-to-Rail Input/Output 10 MHz Op Amp
• MIC5219 500 mA Peak Output LDO
• SAM E54 Xplained Pro Evaluation Kit