An ultra-low-power filtering technique for biomedical applications

Area of Science:

• Biomedical Engineering
• Electrical Engineering
• Signal Processing

Background:

• Biomedical applications like heart activity detection require efficient signal processing.
• Ultra-low-power integrated circuits are crucial for implantable and wearable devices.
• Accurate T-wave sensing is essential for comprehensive cardiac monitoring.

Purpose of the Study:

• To introduce a novel ultra-low-power filtering technique for T-wave sensing.
• To demonstrate the feasibility of sub-threshold operation for high-performance analog filters.
• To achieve ultra-low power consumption while maintaining signal integrity in biomedical systems.

Main Methods:

• Utilized a source-follower-based Biquad topology operating in the sub-threshold region.
• Designed an 8th-order 2.4-Hz low-pass filter.
• Optimized the design for a 0.35-μm CMOS process.

Main Results:

• Achieved an ultra-low power consumption of 0.36 nW at a 3-V supply.
• Demonstrated over 85-dB dynamic range.
• Obtained 74-dB stopband attenuation, confirming effective filtering.

Conclusions:

• The proposed source-follower Biquad filter offers a promising solution for ultra-low-power biomedical sensing.
• Sub-threshold operation is viable for achieving high linearity and low power in analog filters.
• The technique enables efficient T-wave sensing for advanced heart activity detection systems.