Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Alexander Singh Alvarado"'
Autor:
Adeeti Ullal, Maryam Etezadi-Amoli, Dan Marvin Trietsch, Irida Mance, Todd M. Herrington, Maxsim Gibiansky, Alexander Singh Alvarado, Peter T. Lin, Rob Powers, Sara Kianian, Hung A. Pham, Nengchun Huang, James D. Kretlow, Edith Merle Arnold, Salima Brillman
Publikováno v:
Science translational medicine. 13(579)
Longitudinal, remote monitoring of motor symptoms in Parkinson's disease (PD) could enable more precise treatment decisions. We developed the Motor fluctuations Monitor for Parkinson's Disease (MM4PD), an ambulatory monitoring system that used smartw
Publikováno v:
IEEE Transactions on Medical Imaging. 31:1472-1480
We present a variational framework for the reconstruction of irregularly-sampled volumetric data in, nontensor-product, spline spaces. Motivated by the sampling-theoretic advantages of body centered cubic (BCC) lattice, this paper examines the BCC la
Publikováno v:
IEEE Transactions on Biomedical Engineering. 59:1641-1648
Heart function measured by electrocardiograms (ECG) is crucial for patient care. ECG generated waveforms are used to find patterns of irregularities in cardiac cycles in patients. In many cases, irregularities evolve over an extended period of time t
Publikováno v:
ACSCC
We provide a real-time recovery algorithm for the Integrate and Fire (IF) sampler. Specifically, we compare three reconstruction algorithms in terms of their accuracy and speed. The algorithms differ in their model of the input which include, 1) Glob
Publikováno v:
ISCAS
We evaluate the performance of an asynchronous analog-to-digital converter known as the Integrate and Fire (I&F) circuit. The reconstruction algorithm for the sampler is presented along with the analytical results for the signal-to-noise ratio (SNR)
Publikováno v:
ISCAS
We present the integrate-and-fire (IF) model as a time encoding scheme and show that it corresponds to a special case of the asynchronous Σ-Δ modulator (ASDM). We depart from typical rate based encoding used by conventional ASDM towards time based
Autor:
Gino Angelo Velasco, José Luis Romero, Alexander Singh Alvarado, Jose C. Principe, Hans G. Feichtinger
In this paper we study the reconstruction of a bandlimited signal from samples generated by the integrate and fire model. This sampler allows us to trade complexity in the reconstruction algorithms for simple hardware implementations, and is speciall
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4ab223b719dfeefede02db105738cd8a
http://arxiv.org/abs/0912.0766
http://arxiv.org/abs/0912.0766
Publikováno v:
2009 4th International IEEE/EMBS Conference on Neural Engineering.
An algorithm to recover the encoded stimulus from a biphasic integrate-and-fire model has been proposed using the sampling framework for local averages. The algorithm converges for sparse sampling sets, common in extracellular neural recordings. More