An efficient micro control unit with a reconfigurable filter design for wireless body sensor networks (WBSNs)

Area of Science:

• Biomedical Engineering
• Embedded Systems
• Wireless Sensor Networks

Background:

• Wireless Body Sensor Networks (WBSNs) are crucial for remote healthcare monitoring.
• Existing MCUs often face limitations in power consumption, performance, and flexibility for WBSN applications.

Purpose of the Study:

• To propose a low-cost, low-power, high-performance MCU core tailored for WBSNs.
• To enhance data processing efficiency, reliability, and compatibility for biomedical signal acquisition and transmission.

Main Methods:

• Designed an MCU core integrating an asynchronous interface, reconfigurable filter, data compression (slop-feature forecast, lossless encoder), error correction coding (ECC), and power management.
• Implemented a multi-sensor controller for simultaneous operation with up to four bio-sensors.
• Verified the design using FPGA and analyzed VLSI architecture, gate count, and power consumption.

Main Results:

• The proposed MCU architecture achieves high performance (100/133 MHz) with low power consumption (5.8/1.9 mW) using standard CMOS processes.
• Demonstrated improved system performance, increased functionality, enhanced flexibility, and greater compatibility compared to existing designs.
• Successfully validated the design's functionality and efficiency through FPGA testing.

Conclusions:

• The developed MCU core offers a significant advancement for WBSN applications, balancing performance, power, and cost.
• This design provides a robust and efficient solution for long-term healthcare monitoring and biomedical data management.
• The integrated features enable reliable and flexible wireless transmission of biomedical signals.