3 results match your criteria: "University ofSouthern California[Affiliation]"

A physical activity (PA) recognition algorithm for a wearable wireless sensor network using both ambulatory electrocardiogram (ECG) and accelerometer signals is proposed. First, in the time domain, the cardiac activity mean and the motion artifact noise of the ECG signal are modeled by a Hermite polynomial expansion and principal component analysis, respectively. A set of time domain accelerometer features is also extracted.

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Article Synopsis
  • Calderón's foundational paper set the stage for electrical impedance tomography (EIT) by proposing the use of external voltage patterns for reconstructing a medium's admittivity through inverse Fourier transforms.
  • We have developed a new algorithm that adapts Calderón's method to work with measurements taken from a part of the boundary and discrete electrodes, optimizing voltage or current patterns for better approximation.
  • By leveraging the redundancy in our three-dimensional measurements, we enhance the quality of the static images produced by our algorithm, improving the EIT outcomes.
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We present accurate and efficient methods for estimating the spatial resolution and noise properties of nonquadratically regularized image reconstruction for positron emission tomography (PET). It is well known that quadratic regularization tends to over-smooth sharp edges. Many types of edge-preserving nonquadratic penalties have been proposed to overcome this problem.

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