Reconfigurable Multiparameter Biosignal Acquisition SoC for Low Power Wearable Platform

Area of Science:

• Biomedical Engineering
• Electronic Systems
• Signal Processing

Background:

• Biosignal acquisition systems are crucial for modern healthcare.
• Existing systems often lack reconfigurability and consume significant power.
• Multiparameter physiological monitoring requires flexible and efficient hardware.

Purpose of the Study:

• To develop a low-power, low-noise, and reconfigurable analog front-end (AFE) system on a chip (SoC).
• To enable multimodal biosignal acquisition for advanced healthcare applications.
• To demonstrate the system's versatility across various biosensing modalities.

Main Methods:

• Designed a reconfigurable AFE SoC supporting electropotential, bioimpedance, electrochemical, and photoelectrical modes.
• Integrated a core instrumentation amplifier with adjustable gain (25-52 dB) and low input-referred noise (1 μV_RMS).
• Achieved low power consumption (<52 μW per channel) for analog blocks.

Main Results:

• Demonstrated experimental reconfigurability for electrocardiogram, blood glucose concentration, respiration, and photoplethysmography.
• The AFE system achieved a low noise floor and efficient power usage.
• The system's multimodal capabilities were validated through experimental results.

Conclusions:

• The presented reconfigurable AFE SoC offers a flexible and power-efficient solution for multiparameter biosignal acquisition.
• This technology facilitates the implementation of advanced healthcare services.
• The system's design is suitable for diverse biosensing applications requiring high reconfigurability.