Evidence map›Paper›PMID 33444477›Full record

ArticleIET systems biology2019

Rehabilitation of the Parkinson's tremor by using robust adaptive sliding mode controller: a simulation study.

Korosh Rouhollahi, Mehran Emadi Andani, Javad Askari Marnanii, Seyed Mahdi Karbassi

Open access · greenAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in IET systems biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.9field-weighted citation impact, top 26% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 15 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 3 institutions in 2 countries.

Korosh RouhollahiDepartment of Applied Mathematics, Yazd University, Yazd, Iran.
Mehran Emadi AndaniDepartment of Biomedical Engineering, University of Isfahan, Isfahan, Iran.
Javad Askari MarnaniiDepartment of Electrical and Computer Engineering, Isfahan University of Technology, Isfahan, Iran.
Seyed Mahdi KarbassiDepartment of Applied Mathematics, Yazd University, Yazd, Iran.
Yazd University · IRIsfahan University of Technology · IRUniversity of Verona · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

One of the efficient methods in controlling the Parkinson's tremor is Deep Brain Stimulation (DBS) therapy. The stimulation of Basal Ganglia (BG) by DBS brings no feedback though the existence of feedback reduces the additional stimulatory signal delivered to the brain. So this study offers a new adaptive architecture of a closed-loop control system in which two areas of BG are stimulated simultaneously to decrease the following three indicators: hand tremor, the level of a delivered stimulation signal in the disease condition, and the level of a delivered stimulation signal in health condition to the disease condition. One area (STN: subthalamic nucleus) is stimulated with an adaptive sliding mode controller and the other area (GPi: Globus Pallidus internal) with partial state feedback controller. The simulation results of stimulating two areas of BG showed satisfactory performance.

Indexed as

adaptive architectureadaptive controladditional stimulatory signalBasal Gangliabioelectric phenomenabiomedical electrodesbrainbrain modelsclosed-loop control systemclosed loop systemsDBSDeep Brain Stimulation therapydelivered stimulation signaldisease conditiondiseasesefficient methodsfeedbackhand tremorhealth conditionneurophysiologyParkinson's tremorpartial state feedback controllerrobust adaptive sliding mode controllerrobust controlsimulation studystate feedbackvariable structure systems

Identifiers

PMID33444477
PMCPMC8687164
OpenAlexW2910927770

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.