A Close Loop Multi-Area Brain Stimulation Control for Parkinson’s Patients Rehabilitation

Gheisarnejad, Meysam; Faraji, Behnam; Esfahani, Zahra; Khooban, Mohammad‐Hassan

doi:10.1109/jsen.2019.2949862

Cited by 30 publications

(17 citation statements)

References 38 publications

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“…open-loop [16], [17], [21]. This means that the process flow is unidirectional, the applied stimulation has constant parameters and remains unchanged during the stimulation period.…”

Section: The Current Architecture Of Deep Brain Stimulation Ismentioning

confidence: 99%

“…Second, the improvement from the treatment is dependent on selecting the right brain area or target stimulation site. However, there is a possibility of more than one target stimulation site for single disease [15], [16], [55]. For instance, it can be noticed in the (TABLE II) there are multiple sites or target areas for the brain stimulation in Parkinson.…”

Section: Figure 3 -Dbs Setup [10] a Complete Picture (At Left) Brain Section Utilized For Neuromodulation (Top Right) Electrode Placementmentioning

confidence: 99%

“…Researchers have selected multiple regions for the neuromodulation in Parkinson Disease [17], Depression [32], and in others. Stimulation over multiple areas have shown to get better results as compared individual stimulation of any of the area or both [16]. So, the understanding of human connectome either functionally or anatomically supports its significance in neuroscience.…”

Section: Figure 15 -System Developed By [79]mentioning

confidence: 99%

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Intelligent Deep Brain Stimulation Systems: A General Review

Khan

Sikander

et al. 2021

IEEE Access

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Brain Stimulation is now becoming the preferred approach where pharmacological treatment is ineffective in neurological conditions such as Parkinson's Disease (PD), Tourette Syndrome, Addiction disorder, Depression, and Anxiety. The brain can be stimulated by electrical current, light, and sound energy, invasively or non-invasively. The article comprises of pathophysiology in Parkinson's, current pharmacological modalities used for the treatment (along with limitations), and deep brain stimulation as the last resort. The article also provides a comprehensive analysis of intelligent Deep Brain Stimulation methods (procedure, architecture, and type) from the studies and research conducted in the last five years. Finally, research gaps and associated challenges are discussed.

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“…open-loop [16], [17], [21]. This means that the process flow is unidirectional, the applied stimulation has constant parameters and remains unchanged during the stimulation period.…”

Section: The Current Architecture Of Deep Brain Stimulation Ismentioning

confidence: 99%

Section: Figure 3 -Dbs Setup [10] a Complete Picture (At Left) Brain Section Utilized For Neuromodulation (Top Right) Electrode Placementmentioning

confidence: 99%

Section: Figure 15 -System Developed By [79]mentioning

confidence: 99%

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Intelligent Deep Brain Stimulation Systems: A General Review

Khan

Sikander

et al. 2021

IEEE Access

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“…The use of additional biomarkers at other circuit levels is still under exploration [24], here we proposed to choose the feedback signal from the perspective of beta band oscillation origin. Algorithms of adaptive DBS to adjust stimulation parameters including delayed feedback control [25], Proportional Integral Differential control [26,27], fuzzy logic [28,29], machinelearning [23] etc., the computational demands of these algorithms in data processing (i.e. calculating beta-LFP) and stimulation waveforms solving deserve attention.…”

Section: Introductionmentioning

confidence: 99%

Model-Based Closed-Loop Suppression of Parkinsonian Beta Band Oscillations Through Origin Analysis

Chen

et al. 2021

IEEE Trans. Neural Syst. Rehabil. Eng.

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Excessive beta band (13-30Hz) oscillations have been observed in the basal ganglia (BG) of patients with Parkinson's disease (PD). Understanding the origin and transmission of beta band oscillations are important to improve treatments of PD, such as closed-loop deep brain stimulation (DBS). This paper proposed a model-based closed-loop GPi stimulation system to suppress pathological beta band oscillations of BG. The feedback nucleus was selected through the analysis of GPi oscillations variation when different synaptic currents were blocked, mainly projections from globus pallidus external (GPe), the subthalamic nucleus (STN) and striatum. Since simulation results proved the important role of synaptic current from GPe in shaping the excessive GPi beta band oscillations, the local field potential (LFP) of GPe was chosen as the feedback signal. That is to say, the feedback nucleus was selected based on the origin analysis of the pathological GPi beta band oscillation. The closed-loop algorithm was the multiplication of linear delayed feedback of the filtered GPe-LFP and modeled synaptic dynamics from GPe to GPi. Thus, the formed stimulation waveform was synaptic current like shape, which was proved to be more energy efficient than open-loop continuous DBS in suppressing GPi beta band oscillation. With the development of DBS devices, the efficiency of this closed-loop stimulation could be testified in animal model and clinical.

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“…Sliding mode control (SMC) has been a robust method to control nonlinear models that have uncertainty in their system model and parameters, and thus, need to arrive at a high performance under external disturbances [17]. Moreover, it comprises of double steps, sliding surface and off surface dynamics, it first defines the sliding surface, and then tries to keep the state of the system near to or on that surface to satisfy the desired goals and performance [18].…”

Section: Introductionmentioning

confidence: 99%

A Novel Nonsingular Terminal Sliding Mode Control-Based Double Interval Type-2 Fuzzy Systems: Real-Time Implementation

Moghadam¹,

Gheisarnejad²,

Yalsavar³

et al. 2021

Inventions

Self Cite

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Extensive use of wind turbine (WT) systems brings remarkable challenges to the stability and safety of the power systems. Due to the difficulty and complexity of modeling such large plants, the model-independent strategies are preferred for the control of the WT plants which eliminates the need to model identification. This current work proposes a novel model-independent control methodology in the rotor side converter (RSC) part to ameliorate low voltage ride through (LVRT) ability especially for the doubly-fed induction generator (DFIG) WT. A novel model-independent nonsingular terminal sliding mode control (MINTSMC) was developed based on the principle of the ultra-local pattern. In the suggested controller, the MINTSMC scheme was designed to stabilize the RSC of the DFIG, and a sliding-mode supervisor was adopted to determine the unknown dynamics of the proposed system. An auxiliary dual input interval type 2 fuzzy logic control (DIT2-FLC) was established in a model-independent control structure to remove the estimation error of the sliding mode observer. Real-time examinations have been carried out using a Real-Time Model in Loop (RT-MiL) for validating the applicability of the proposed model-independent control in a real-time platform. To evaluate the usefulness and supremacy of the MINTSMC based DIT2-FLC, the real-time outcomes are compared with outcomes of RSC regulated conventional PI controller and MINTSMC controller.

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A Close Loop Multi-Area Brain Stimulation Control for Parkinson’s Patients Rehabilitation

Cited by 30 publications

References 38 publications

Intelligent Deep Brain Stimulation Systems: A General Review

Intelligent Deep Brain Stimulation Systems: A General Review

Model-Based Closed-Loop Suppression of Parkinsonian Beta Band Oscillations Through Origin Analysis

A Novel Nonsingular Terminal Sliding Mode Control-Based Double Interval Type-2 Fuzzy Systems: Real-Time Implementation

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