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Microfluidic Platform with Multiplexed Electronic Detection for Spatial Tracking of Particles

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System-on-chip based Doppler radar occupancy sensor.

Ehsan Yavari¹, Chenyan Song, Victor Lubecke

¹Electrical Engineering Departmentof University of Hawaii, Manoa, Honolulu 96822, USA. ehsan@hawaii.edu

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Summary

This summary is machine-generated.

This study presents a System-on-Chip (SoC) based Doppler radar for non-contact detection of respiratory signals. The developed sensor accurately detects periodic motion in both mechanical targets and human subjects.

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Area of Science:

Electrical Engineering
Biomedical Engineering
Sensor Technology

Background:

Non-contact monitoring of physiological signals is crucial for healthcare and security.
Existing methods may be invasive or limited in scope.
Doppler radar offers a potential non-contact sensing modality.

Purpose of the Study:

To develop a System-on-Chip (SoC) based Doppler radar sensor.
To achieve non-contact detection of respiratory signals.
To validate the system's performance with mechanical and human subjects.

Main Methods:

Utilized an off-the-shelf Texas Instruments CC2530 low-power RF SoC chip.
Implemented intermittent signal transmission at 2.405 GHz to conserve power.
Demodulated reflected pulses and processed baseband signals to recover periodic motion.

Main Results:

The Doppler radar system successfully detected periodic motion in both mechanical targets and human subjects.
The detected motion closely matched the actual motion.
Demonstrated the feasibility of using an SoC-based system for subject detection.

Conclusions:

An SoC-based Doppler radar system is effective for non-contact detection of respiratory signals.
The system shows promise for various subject detection applications.
Low-power SoC technology enables efficient radar-based sensing.