Jonathon Spaulding

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BSEE, Massachusetts Institute of Technology,

2009 MSEE, Massachusetts Institute of Technology,

2010 Admitted to Ph.D. Candidacy: 2010-2011 

Research:  Low Power Integrated Analog Front Ends for Portable Ultrasound Imaging
My research focuses on designing low-power systems for portable medical applications. Specifically, my work focuses on leveraging known signal properties of ultrasonic transducers to lower the sampling (and data processing rate) of the analog front end (AFE) receivers.  The fundamental idea behind this work is that if we can model a received signal as a sum of time-shifted, amplitude-varying pulse wave forms with known pulse shape, the actual information rate of the signal is much lower than what Nyquist would suggest [Vetterli et al., 2002], [Tur et al., 2011].  My work is focused on implementing a Finite Rate of Innovation (FRI) algorithm to capture ultrasound signals at a rate 20-50x below the Nyquist rate, resulting in a lower power AFE for continuous ultrasonic health monitoring.

One way to demonstrate the underlying idea of such an FRI algorithm is to examine a high-bandwidth signal such as a pulse train of gaussian pulses.  A traditional Nyquist-rate system would need to take many samples in the time-domain to resolve the high-frequency pulses accurately.  However, by convolving the high-bandwidth signal with the known impulse response of a low-pass filter, we effectively project this information to a space where we can resolve the signal with fewer samples.  By back-calculating the effect of the filter's impulse response digitally, we can resolve each of the received pulse amplitudes and times, assuming we know the general pulse shape of the input signal.  Such an operation is presented in the Figure below, with the input sum of gaussian pulses in the top pane, and the filtered signal in the lower pane with samples shown.

Jspauld Filtered Signal.jpg

Ultimately, this project is intended for continuous patient monitoring for bladder volume measurement.  Current continuous monitoring techniques are invasive, which increases  both patient discomfort as well as infection risk.  A low-power alternative based on the technique described above will provide a better quality of life for the patient while providing the necessary diagnostic information.

Email: jspauld AT stanford DOT edu

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