Machine learning's application in deep brain stimulation for Parkinson's disease: A review
Deep brain stimulation (DBS) is a surgical treatment for advanced Parkinson's disease (PD)
that has undergone technological evolution that parallels an expansion in clinical …
that has undergone technological evolution that parallels an expansion in clinical …
A wavelet-based approach to emotion classification using EDA signals
Emotion is an intense mental experience often manifested by rapid heartbeat, breathing,
sweating, and facial expressions. Emotion recognition from these physiological signals is a …
sweating, and facial expressions. Emotion recognition from these physiological signals is a …
LFP-Net: A deep learning framework to recognize human behavioral activities using brain STN-LFP signals
HM Golshan, AO Hebb, MH Mahoor - Journal of neuroscience methods, 2020 - Elsevier
Background Recognition of human behavioral activities using local field potential (LFP)
signals recorded from the Subthalamic Nuclei (STN) has applications in develo** the next …
signals recorded from the Subthalamic Nuclei (STN) has applications in develo** the next …
A hierarchical structure for human behavior classification using STN local field potentials
HM Golshan, AO Hebb, SJ Hanrahan, J Nedrud… - Journal of neuroscience …, 2018 - Elsevier
Background Classification of human behavior from brain signals has potential application in
develo** closed-loop deep brain stimulation (DBS) systems. This paper presents a human …
develo** closed-loop deep brain stimulation (DBS) systems. This paper presents a human …
[HTML][HTML] Deep learning based decoding of single local field potential events
How is information processed in the cerebral cortex? In most cases, recorded brain activity is
averaged over many (stimulus) repetitions, which erases the fine-structure of the neural …
averaged over many (stimulus) repetitions, which erases the fine-structure of the neural …
Hyper-parameter tuning and feature extraction for asynchronous action detection from sub-thalamic nucleus local field potentials
Introduction Decoding brain states from subcortical local field potentials (LFPs) indicative of
activities such as voluntary movement, tremor, or sleep stages, holds significant potential in …
activities such as voluntary movement, tremor, or sleep stages, holds significant potential in …
Speaker independent diarization for child language environment analysis using deep neural networks
Large-scale monitoring of the child language environment through measuring the amount of
speech directed to the child by other children and adults during a vocal communication is an …
speech directed to the child by other children and adults during a vocal communication is an …
Deep learning based decoding of local field potential events
How is information processed in the cerebral cortex? To answer this question a lot of effort
has been undertaken to create novel and to further develop existing neuroimaging …
has been undertaken to create novel and to further develop existing neuroimaging …
An FFT-based synchronization approach to recognize human behaviors using STN-LFP signal
HM Golshan, AO Hebb, SJ Hanrahan… - … , Speech and Signal …, 2017 - ieeexplore.ieee.org
Classification of human behavior is a key step to develo** closed-loop Deep Brain
Stimulation (DBS) systems, which may decrease the power consumption and side effects of …
Stimulation (DBS) systems, which may decrease the power consumption and side effects of …
Studying the effects of deep brain stimulation and medication on the dynamics of stn-lfp signals for human behavior analysis
HM Golshan, AO Hebb, J Nedrud… - 2018 40th Annual …, 2018 - ieeexplore.ieee.org
This paper presents the results of our recent work on studying the effects of deep brain
stimulation (DBS) and medication on the dynamics of brain local field potential (LFP) signals …
stimulation (DBS) and medication on the dynamics of brain local field potential (LFP) signals …