A Simple, Area-Efficient Ripple-Rejection Technique for Chopped Bio-Signal Amplifiers

Saves chip area to allow/maintain device miniaturization.Ripple-rejection technology consumes no additional power by utilizing a passive design.Design is considerably simpler than current state-of-the-art devices.

Amplifiers in electroencephalograms (EEGs) used to measure brain activity.Amplifiers in electrocardiograms to test electrical activity of the heart.

The Markovic group at UCLA has developed a chopped bio-signal amplification technique with reduced output noise compared to current technologies. This technology is relevant to measuring biologically relevant neuro and cardiac signals, many of which span a narrow frequency band between 1- 100 Hz with relatively low signal intensities. The challenge with signal amplification is the minimization of flicker and thermal noise that may obscure the original input signal. Chopping in amplifiers is commonly used to reduce amplification associated noise but creates a large noise ripple at output. Active methods to reduce this ripple have traditionally employed the use of active stages and switching circuitry resulting in unwanted phase delay, power consumption, and increased device size. The Markovic group improves upon these areas with a simple design using passive components that has been shown in simulation to attenuate the output ripple by as much as 78 dB without affecting signal gain, performance, or device size.

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State Of Development

Design has been successfully tested in simulations.

Background

Monitoring electrophysiological signals in relation to health and disease has been instrumental to the understanding of biological systems and patient healthcare. These measurements are especially critical in the fields of neurological and cardiac science. Because so many bioelectrical readings of interest from the brain and heart are generally low in intensity, signal amplification is necessary prior to digitization and output. However, input amplification inherently generates additional sources of noise which makes accurate interpretation of bioelectrical signals with low frequency bands and amplitudes challenging. Therefore, advances in detection sensitivity and accuracy typically coincide with technological advances in signal amplifiers that minimize extraneous background noise.

Related Materials

Hariprasad Chandrakumar, Dejan Markovic: A Simple Area-Efficient Ripple-Rejection Technique for Chopped Biosignal Amplifiers. IEEE Trans. on Circuits and Systems (2015)

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Tech ID/UC Case

24998/2015-164-0

Related Cases

2015-164-0

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