Deep brain simulation wearable IoT sensor device based Parkinson brain disorder detection using heuristic tubu optimized sequence modular neural network

AA AlZubi, A Alarifi, M Al-Maitah - Measurement, 2020 - Elsevier
Now-a-days most of the people affected by Parkinson's disease it is one of the degenerative
brain disorder occurred due to the midbrain cell death. The Parkinson disease affects …

Classification and prediction of clinical improvement in deep brain stimulation from intraoperative microelectrode recordings

K Kostoglou, KP Michmizos, P Stathis… - IEEE Transactions …, 2016 - ieeexplore.ieee.org
We present a random forest (RF) classification and regression technique to predict,
intraoperatively, the unified Parkinson's disease rating scale (UPDRS) improvement after …

Machine learning-based high-frequency neuronal spike reconstruction from low-frequency and low-sampling-rate recordings

N Hong, B Kim, J Lee, HK Choe, KH Jin… - Nature …, 2024 - nature.com
Recording neuronal activity using multiple electrodes has been widely used to understand
the functional mechanisms of the brain. Increasing the number of electrodes allows us to …

Extraction of Parkinson's disease-related features from local field potentials for adaptive deep brain stimulation

D Zhao, Q Sun, S Cheng, M He, X Chen, X Hou - Neurophysiology, 2018 - Springer
Despite the efficiency of deep brain stimulation (DBS) in the treatment of Parkinson's
disease (PD), the respective systems need to be further optimized. The lack of accurate PD …

Impaired timing of speech-related neurons in the subthalamic nucleus of Parkinson disease patients suffering speech disorders

A Tankus, Y Lustig, I Fried, I Strauss - Neurosurgery, 2021 - journals.lww.com
BACKGROUND Our previous study found degradation to subthalamic neuronal encoding of
speech features in Parkinson disease (PD) patients suffering from speech disorders …

Beta-band frequency peaks inside the subthalamic nucleus as a biomarker for motor improvement after deep brain stimulation in Parkinson's disease

KP Michmizos, P Frangou, P Stathis… - IEEE Journal of …, 2014 - ieeexplore.ieee.org
Deep brain stimulation (DBS) of the subthalamic nucleus (STN) remains an empirical, yet
highly effective, surgical treatment for advanced Parkinson's disease (PD). DBS outcome …

Spiking Laguerre Volterra networks—predicting neuronal activity from local field potentials

K Kostoglou, KP Michmizos, P Stathis… - Journal of neural …, 2024 - iopscience.iop.org
Objective. Understanding the generative mechanism between local field potentials (LFP)
and neuronal spiking activity is a crucial step for understanding information processing in …

Toward a closed-loop deep brain stimulation in Parkinson's disease using local field potential in parkinsonian rat model

S Amoozegar, M Pooyan, M Roughani - Medical Hypotheses, 2019 - Elsevier
Deep brain stimulation (DBS) is an invasive method used for treating Parkinson's disease in
its advanced stages. Nowadays, the initial adjustment of DBS parameters and their …

Complexity and multifractality of neuronal noise in mouse and human hippocampal epileptiform dynamics

D Serletis, BL Bardakjian, TA Valiante… - Journal of neural …, 2012 - iopscience.iop.org
Fractal methods offer an invaluable means of investigating turbulent nonlinearity in non-
stationary biomedical recordings from the brain. Here, we investigate properties of …

Computational neuromodulation: future challenges for deep brain stimulation [life sciences]

KP Michmizos, B Lindqvist, S Wong… - IEEE Signal …, 2017 - ieeexplore.ieee.org
Over the past two decades, deep brain stimulation (DBS) has been leading a renaissance of
neurosurgical treatments for neurological and neuropsychiatric disorders. DBS has become …