Long-Term Personalized Adaptive Deep Brain Stimulation in Parkinson Disease
Sign Up to like & getrecommendations! Published in 2025 at "JAMA Neurology"
DOI: 10.1001/jamaneurol.2025.2781
Abstract: Key Points Question Is long-term adaptive deep brain stimulation (aDBS) tolerable and as effective and safe as continuous DBS (cDBS)? Findings In this nonrandomized clinical trial with an open-label comparison between cDBS and aDBS, the… read more here.
Keywords: brain stimulation; term; long term; adaptive deep ... See more keywords
Adaptive Deep Brain Stimulation for Movement Disorders: The Long Road to Clinical Therapy
Sign Up to like & getrecommendations! Published in 2017 at "Movement Disorders"
DOI: 10.1002/mds.27022
Abstract: Continuous high‐frequency DBS is an established treatment for essential tremor and Parkinson's disease. Current developments focus on trying to widen the therapeutic window of DBS. Adaptive DBS (aDBS), where stimulation is dynamically controlled by feedback… read more here.
Keywords: adaptive deep; movement; deep brain; stimulation ... See more keywords
Could adaptive deep brain stimulation treat freezing of gait in Parkinson’s disease?
Sign Up to like & getrecommendations! Published in 2025 at "Journal of Neurology"
DOI: 10.1007/s00415-025-13000-8
Abstract: Next-generation neurostimulators capable of running closed-loop adaptive deep brain stimulation (aDBS) are about to enter the clinical landscape for the treatment of Parkinson’s disease. Already promising results using aDBS have been achieved for symptoms such… read more here.
Keywords: brain stimulation; adaptive deep; freezing gait; deep brain ... See more keywords
Rolling bearing fault diagnosis using adaptive deep belief network with dual-tree complex wavelet packet.
Sign Up to like & getrecommendations! Published in 2017 at "ISA transactions"
DOI: 10.1016/j.isatra.2017.03.017
Abstract: Automatic and accurate identification of rolling bearing fault categories, especially for the fault severities and compound faults, is a challenge in rotating machinery fault diagnosis. For this purpose, a novel method called adaptive deep belief… read more here.
Keywords: adaptive deep; fault; bearing fault; rolling bearing ... See more keywords
CAQ: Toward Context-Aware and Self-Adaptive Deep Model Computation for AIoT Applications
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2022.3176136
Abstract: Artificial Intelligence of Things (AIoT) has recently accepted significant interests. Remarkably, embedded artificial intelligence (e.g., deep learning) on-device transforms IoT devices into intelligent systems that robustly and privately process data. Quantization technique is widely used… read more here.
Keywords: adaptive deep; quantization; aware self; self adaptive ... See more keywords
Advanced cloud security framework based on zero trust architecture and adaptive deep learning for next-generation systems
Sign Up to like & getrecommendations! Published in 2025 at "Indonesian Journal of Electrical Engineering and Computer Science"
DOI: 10.11591/ijeecs.v40.i1.pp189-201
Abstract: Static rule-based models and cloud access security brokers (CASBs) — traditional cloud security frameworks— can no longer effectively mitigate modern and evolving cyber threats. Two such examples include signature-based detection methods which lack real-time versatility… read more here.
Keywords: deep learning; zero trust; adaptive deep; cloud security ... See more keywords
Cognitive effects of adaptive deep brain stimulation in Parkinson’s disease: stability without risk
Sign Up to like & getrecommendations! Published in 2025 at "European Journal of Medical Research"
DOI: 10.1186/s40001-025-03064-7
Abstract: Background Adaptive deep brain stimulation (aDBS) is a closed-loop system that adjusts stimulation based on patient biomarkers. This study evaluated the cognitive safety of aDBS in Parkinson’s disease (PD). Methods Sixteen PD patients with bilateral… read more here.
Keywords: brain stimulation; adaptive deep; stimulation; deep brain ... See more keywords
Evaluation of the therapeutic effect of adaptive deep brain stimulation on motor symptoms and sleep disturbances in Parkinson’s disease and construction of a response prediction model
Sign Up to like & getrecommendations! Published in 2025 at "Frontiers in Neurology"
DOI: 10.3389/fneur.2025.1580273
Abstract: Background Parkinson’s disease patients often experience symptoms such as motor impairments and sleep disturbances. This study aims to evaluate the efficacy of adaptive deep brain stimulation therapy in improving motor symptoms and sleep disorders in… read more here.
Keywords: response; adaptive deep; model; deep brain ... See more keywords
Researchers’ Ethical Concerns About Using Adaptive Deep Brain Stimulation for Enhancement
Sign Up to like & getrecommendations! Published in 2022 at "Frontiers in Human Neuroscience"
DOI: 10.3389/fnhum.2022.813922
Abstract: The capacity of next-generation closed-loop or adaptive deep brain stimulation devices (aDBS) to read (measure neural activity) and write (stimulate brain regions or circuits) shows great potential to effectively manage movement, seizure, and psychiatric disorders,… read more here.
Keywords: ethical concerns; adaptive deep; enhancement; brain ... See more keywords
Self-Adaptive Deep Multiple Kernel Learning Based on Rademacher Complexity
Sign Up to like & getrecommendations! Published in 2019 at "Symmetry"
DOI: 10.3390/sym11030325
Abstract: The deep multiple kernel learning (DMKL) method has caused widespread concern due to its better results compared with shallow multiple kernel learning. However, existing DMKL methods, which have a fixed number of layers and fixed… read more here.
Keywords: adaptive deep; multiple kernel; self adaptive; kernel learning ... See more keywords