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Dynamic Multiparameter Platelet Function Assessment Using a Capacitive Biosensor

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A low noise, non-contact capacitive cardiac sensor.

GuoChen Peng¹, Mark F Bocko

¹Electrical and Computer Engineering Department, University of Rochester, Rochester, NY 14627-0231, USA. gupeng@ece.rochester.edu

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference

|February 1, 2013

Summary

Researchers developed a novel low-noise preamplifier for non-contact electrocardiogram (ECG) sensors. This advancement enables more sensitive, unobtrusive health monitoring by improving the detection of weak bioelectric signals.

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Area of Science:

Biomedical Engineering
Sensor Technology
Electronics

Background:

Developing unobtrusive health sensors requires sensitive, non-contact electric field sensors.
Measuring weak bioelectric signals, like those from the heart, presents significant technical challenges.

Purpose of the Study:

To address challenges in non-contact electrocardiogram (ECG) sensor development.
To design and evaluate a low-noise sensor preamplifier for improved bioelectric signal measurement.

Main Methods:

Adapted circuit designs featuring a double feedback loop to mitigate input transistor leakage current.
Implemented stable operational parameters, fast settling times, and good low-frequency response.
Avoided the need for ultrahigh value resistors in the preamplifier design.

Main Results:

Achieved a measured input-referred noise of 0.76 µV(rms) in the 0.05-100 Hz frequency band.
The developed preamplifier exhibits significantly lower noise compared to existing ECG preamplifiers.
Demonstrated stable operation and effective cancellation of leakage current.

Conclusions:

The novel preamplifier design is a key advancement for sensitive, non-contact ECG sensing.
This technology facilitates the development of more effective and unobtrusive health monitoring devices.
The achieved low noise levels are critical for accurate detection of weak bioelectric signals.