Brinnae Bent

collaborators

2 papers

q-bio.QM2021

cgmquantify: Python and R packages for comprehensive analysis of interstitial glucose and glycemic variability from continuous glucose monitor data

Brinnae Bent, Maria Henriquez, Jessilyn Dunn

Continuous glucose monitoring (CGM) systems provide real-time, dynamic glucose information by tracking interstitial glucose values throughout the day (typically values are recorded…

q-bio.NC2020

Low-Rank Nonlinear Decoding of $μ$ -ECoG from the Primary Auditory Cortex

Melikasadat Emami, Mojtaba Sahraee-Ardakan, Parthe Pandit +6

This paper considers the problem of neural decoding from parallel neural measurements systems such as micro-electrocorticography ( $μ$ -ECoG). In systems with large numbers of array…

cgmquantify: Python and R packages for comprehensive analysis of interstitial glucose and glycemic variability from continuous glucose monitor data

Low-Rank Nonlinear Decoding of μ-ECoG from the Primary Auditory Cortex

Low-Rank Nonlinear Decoding of $μ$ -ECoG from the Primary Auditory Cortex