Very Low Resource Digital Implementation of Bioimpedance Analysis

Area of Science:

• Biomedical Engineering
• Electrical Engineering
• Signal Processing

Background:

• Bioimpedance spectroscopy (BIS) measures tissue impedance across frequencies, vital for physiological studies and health monitoring.
• Current BIS systems face challenges with power consumption and resource demands for portable, wearable, or implantable devices.
• Existing single-tone and multi-tone BIS methods present trade-offs between measurement speed and analytical complexity, limiting embedded applications.

Purpose of the Study:

• To develop an intermediate bioimpedance measurement approach.
• To achieve high-speed, low-resource impedance sensing suitable for embedded systems.
• To enable portable and wearable health monitoring with power and resource savings.

Main Methods:

• Proposed an intermediate approach combining multi-tone signal speed with a low-resource analysis algorithm.
• Utilized a minimal implementation requiring only adders and a synchronous analog-to-digital converter (ADC).
• Designed for synthesis and embedding on a mixed-mode integrated circuit with the analog front-end.

Main Results:

• Achieved a minimal footprint digital processing solution for bioimpedance sensing.
• Demonstrated an easily scalable implementation for arbitrary frequency ranges.
• Showed that the impact on noise sensitivity can be effectively mitigated.

Conclusions:

• The proposed intermediate approach offers a practical solution for resource-constrained bioimpedance sensing applications.
• This method facilitates the development of next-generation portable, wearable, and implantable health monitoring systems.
• The scalable and low-resource design enhances the feasibility of embedded BIS for widespread health applications.