Cuff-less blood pressure estimation from photoplethysmography via visibility graph and transfer learning
This paper presents a new solution that enables the use of transfer learning for cuff-less
blood pressure (BP) monitoring via short duration of photoplethysmogram (PPG). The …
blood pressure (BP) monitoring via short duration of photoplethysmogram (PPG). The …
Network analysis of time series: Novel approaches to network neuroscience
In the last two decades, there has been an explosion of interest in modeling the brain as a
network, where nodes correspond variously to brain regions or neurons, and edges …
network, where nodes correspond variously to brain regions or neurons, and edges …
[HTML][HTML] Automated sleep state classification of wide-field calcium imaging data via multiplex visibility graphs and deep learning
Background Wide-field calcium imaging (WFCI) allows for monitoring of cortex-wide neural
dynamics in mice. When applied to the study of sleep, WFCI data are manually scored into …
dynamics in mice. When applied to the study of sleep, WFCI data are manually scored into …
Transcranial cortex-wide Ca2+ imaging for the functional map** of cortical dynamics
Visualization and tracking of the information flow in the broader brain area are essential
because nerve cells make a vast network in the brain. Fluorescence Ca2+ imaging is a …
because nerve cells make a vast network in the brain. Fluorescence Ca2+ imaging is a …
Identifying mild traumatic brain injury using measures of frequency-specified networks
S Salsabilian, Y Bibineyshvili… - Journal of neural …, 2022 - iopscience.iop.org
Objective. Early diagnosis of mild traumatic brain injury (mTBI) is challenging, yet crucial for
providing patients with timely treatments and minimizing the risks of develo** injury …
providing patients with timely treatments and minimizing the risks of develo** injury …
Prediction of forelimb reach results from motor cortex activities based on calcium imaging and deep learning
C Li, DCW Chan, X Yang, Y Ke… - Frontiers in cellular …, 2019 - frontiersin.org
Brain-wide activities revealed by neuroimaging and recording techniques have been used
to predict motor and cognitive functions in both human and animal models. However …
to predict motor and cognitive functions in both human and animal models. However …
Detecting mTBI by learning spatio-temporal characteristics of widefield calcium imaging data using deep learning
Early diagnosis of mild traumatic brain injury (mTBI) is of great interest to the neuroscience
and medical communities. Widefield optical imaging of neuronal populations over the …
and medical communities. Widefield optical imaging of neuronal populations over the …
Cuff-less blood pressure estimation via small convolutional neural networks
Deep learning-based cuff-less blood pressure (BP) estimation methods have recently
gained increased attention as they can provide accurate BP estimation with only one …
gained increased attention as they can provide accurate BP estimation with only one …
Establishing brain states in neuroimaging data
The definition of a brain state remains elusive, with varying interpretations across different
sub-fields of neuroscience—from the level of wakefulness in anaesthesia, to activity of …
sub-fields of neuroscience—from the level of wakefulness in anaesthesia, to activity of …
Investigating learning-related neural circuitry with chronic in vivo optical imaging
Fundamental aspects of brain function, including development, plasticity, learning, and
memory, can take place over time scales of days to years. Chronic in vivo imaging of neural …
memory, can take place over time scales of days to years. Chronic in vivo imaging of neural …