Landscape and future directions of machine learning applications in closed-loop brain stimulation
AS Chandrabhatla, IJ Pomeraniec, TM Horgan… - NPJ Digital …, 2023 - nature.com
Brain stimulation (BStim) encompasses multiple modalities (eg, deep brain stimulation,
responsive neurostimulation) that utilize electrodes implanted in deep brain structures to …
responsive neurostimulation) that utilize electrodes implanted in deep brain structures to …
Advances in DBS technology and novel applications: focus on movement disorders
Abstract Purpose of Review Deep brain stimulation (DBS) is an established treatment in
several movement disorders, including Parkinson's disease, dystonia, tremor, and Tourette …
several movement disorders, including Parkinson's disease, dystonia, tremor, and Tourette …
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 …
Machine learning in deep brain stimulation: A systematic review
Abstract Deep Brain Stimulation (DBS) is an increasingly common therapy for a large range
of neurological disorders, such as abnormal movement disorders. The effectiveness of DBS …
of neurological disorders, such as abnormal movement disorders. The effectiveness of DBS …
Deep brain stimulation: is it time to change gears by closing the loop?
Objective. Adaptive deep brain stimulation (aDBS) is a form of invasive stimulation that was
conceived to overcome the technical limitations of traditional DBS, which delivers …
conceived to overcome the technical limitations of traditional DBS, which delivers …
Adaptive closed-loop control strategy inhibiting pathological basal ganglia oscillations
K Wang, J Wang, Y Zhu, H Li, C Liu… - … Signal Processing and …, 2022 - Elsevier
The presence of pathological basal ganglia oscillations in the beta (12–35 Hz) frequency
band is associated with Parkinson's disease (PD). Suppressing the abnormal beta rhythm …
band is associated with Parkinson's disease (PD). Suppressing the abnormal beta rhythm …
Adaptive parameter modulation of deep brain stimulation in a computational model of basal ganglia–thalamic network
Y Zhu, J Wang, S Chang, H Li, B Deng, C Liu - Nonlinear Dynamics, 2021 - Springer
Deep brain stimulation (DBS) has proven to be an effective treatment for Parkinson's
disease (PD). Adaptive control strategies offer the potential to improve efficacy, limit side …
disease (PD). Adaptive control strategies offer the potential to improve efficacy, limit side …
Machine learning-based personalized subthalamic biomarkers predict ON-OFF levodopa states in Parkinson patients
D Sand, P Rappel, O Marmor, AS Bick… - Journal of Neural …, 2021 - iopscience.iop.org
Objective. Adaptive deep brain stimulation (aDBS) based on subthalamic nucleus (STN)
electrophysiology has recently been proposed to improve clinical outcomes of DBS for …
electrophysiology has recently been proposed to improve clinical outcomes of DBS for …
Hybrid adaptive control for PEMFC gas pressure
J Chen, C Zhang, K Li, Y Zhan, B Sun - Energies, 2020 - mdpi.com
This paper addresses the issues of nonlinearity and coupling between anode pressure and
cathode pressure in proton exchange membrane fuel cell (PEMFC) gas supply systems. A …
cathode pressure in proton exchange membrane fuel cell (PEMFC) gas supply systems. A …
Closed-loop modulation of model parkinsonian beta oscillations based on CAR-fuzzy control algorithm
F Su, H Wang, L Zu, Y Chen - Cognitive Neurodynamics, 2023 - Springer
Closed-loop deep brain stimulation (DBS) can apply on-demand stimulation based on the
feedback signal (eg beta band oscillation), which is deemed to lower side effects of clinically …
feedback signal (eg beta band oscillation), which is deemed to lower side effects of clinically …