Datasets

subject: Biomedical Engineering

Total is 44 Results
Separating Fractal and Oscillatory Components in the Power Spectrum of Neurophysiological Signal

10.4231/R7WQ01R7

Haiguang Wen , Zhongming Liu ORCID logo

09/30/2015

Matlab toolbox for separating the fractal (scale-free) component and oscillatory component in the power spectrum from the mixed time series

Bioinformatics Biomedical Engineering fractal scale-free

A Non-parametric Bayesian Model for Joint Cell Clustering and Cluster Matching: Identification of Anomalous Sample Phenotypes with Random Effects.

10.4231/R7KK98PG

Bartlomiej P. Rajwa , Ferit Akova , Halid Ziya Yerebakan , Murat Dundar

09/03/2014

The manuscript presents a non-parametric Bayesian algorithm called ASPIRE (Anomalous Sample Phenotype Identification with Random Effects) able to identify phenotypic differences across batches of cytometry samples in the presence of random effects

AML Bayesian Biomedical Engineering BMC Bioinformatics Computer Science cytometry Dirichlet process Gaussian mixture model Interdisciplinary Research Life Sciences random effects

Signal Processing Toolbox for Simultaneously Acquired fMRI and EEG

10.4231/R7DB7ZSC

Rodrigo Castellanos , Zhongming Liu ORCID logo

06/07/2016

This Matlab toolbox includes signal processing functions to remove gradient and pulse artifacts in EEG data recorded simultaneously with fMRI. It is distributed as a GUI plugin for EEGLAB.

Bioinformatics Biomedical Engineering Electrical and Computer Engineering fMRI-EEG independent component analysis Signal Processing Singular value decomposition

Signal Processing Toolbox for Simultaneously Acquired fMRI and EEG

10.4231/R7QF8QT4

Rodrigo Castellanos , Zhongming Liu ORCID logo

07/27/2015

This Matlab toolbox includes signal processing functions to remove gradient and pulse artifacts in EEG data recorded simultaneously with fMRI. It is distributed as a GUI plugin for EEGLAB.

Bioinformatics Biomedical Engineering Electrical and Computer Engineering fMRI-EEG independent component analysis Signal Processing Singular value decomposition

Changes in Lipid Profile and SOX-2 Expression in RM-1 Cells after Co-Culture with Preimplantation Embryos or with Deproteinated Blastocyst Extracts

10.4231/RVM1-G302

Bennett D. Elzey , Bruce R. Cooper , Christina R. Ferreira ORCID logo , Gregory M. Cresswell , Judy E. Hallett , Nicolas Gutierrez ORCID logo , Wen-Hung Wang

03/08/2022

The embryonic environment can modify cancer cell metabolism, and it is reported to induce the loss of tumorigenic properties and even affect the differentiation of cancer cells into normal tissues. The cellular mechanisms related to this...

Biomedical Engineering cancer cell metabolism embryonic environment lipid profiling RM-1 cells SOX-2 gene expression

Error-State Kalman Filter for Online Evaluation of Ankle Angle

10.4231/X00Q-YW81

Ahmed Khaled Soliman , Andres Torres , Guilherme A. Ribeiro , Mo Rastgaar ORCID logo

05/04/2022

Raw Data for an Error-State Kalman Filter (ESKF) for Online Evaluation of Ankle Ankle (in 2-DOF), using a 2-IMU setup.

Acceleration Biomedical Engineering Engineering Technology Matlab software Mechanical Engineering Robotics

Automatic 4D flow MRI Segmentation Using the Standardized Difference of Means Velocity

10.4231/F75X-1N34

Bruce Craig ORCID logo , Jiacheng Zhang ORCID logo , Michael Markl , Neal Patel , Pavlos Vlachos ORCID logo , Sameer Ansari , Sean Michael Rothenberger ORCID logo , Susanne Schnell , Vitaliy Rayz

02/02/2023

We provide 4D flow MRI velocity measurements in two in vitro flow phantoms of a cerebral aneurysm. One phantom is unscaled (1-to-1), and the other is scaled by a factor of two in all dimensions (2-to-1).

angiography Biomedical Engineering hemodynamics Magnetic Resonance Velocimetry Matlab Phase Contrast Magnetic Resonance Imaging

mHealth hyperspectral learning for hemodynamics

10.4231/VAFP-DW68

Young L Kim ORCID logo

03/27/2023

A small sampling of hyperspectral data enables spectrally informed learning to recover a hypercube from a red-green-blue (RGB) image without complete hyperspectral measurements. Hyperspectral learning is capable of recovering full spectroscopic resolution

Biomedical Engineering hemodynamics Matlab mHealth spectral learning

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