Evidence map›Paper›PMID 31936023›Full record

ArticleSensors (Basel, Switzerland)2020

iHandU: A Novel Quantitative Wrist Rigidity Evaluation Device for Deep Brain Stimulation Surgery.

Elodie Múrias Lopes, Maria do Carmo Vilas-Boas, Duarte Dias, Maria José Rosas, Rui Vaz, João Paulo Silva Cunha

Open access · goldAbstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.1field-weighted citation impact, top 19% 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

8 citing papers in PubMed, 21 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

6 authors at 2 institutions in 1 country.

Elodie Múrias LopesINESC TEC and Faculty of Engineering, University of Porto, 4099-001 Porto, Portugal.
Maria do Carmo Vilas-BoasINESC TEC and Faculty of Engineering, University of Porto, 4099-001 Porto, Portugal.
Duarte DiasINESC TEC and Faculty of Engineering, University of Porto, 4099-001 Porto, Portugal.
Maria José RosasDepartment of Neurology & Movement Disorders and Functional Surgery Unit of Centro Hospitalar Universitário São João, E.P.E., 4099-001 Porto, Portugal.
Rui VazDepartment of Neurology & Movement Disorders and Functional Surgery Unit of Centro Hospitalar Universitário São João, E.P.E., 4099-001 Porto, Portugal.
João Paulo Silva CunhaINESC TEC and Faculty of Engineering, University of Porto, 4099-001 Porto, Portugal.
Universidade do Porto · PTHospital de São João · PT

Funding

FCT - Fundação para a Ciência e a Tecnologia PTDC/CCI-COM/28618/2017FCT - Fundação para a Ciência e a Tecnologia SFRH/BD/140273/2018Porto Hospital Center (CHP) BI.02/2018/UCA/CHP
6 · The paper itself

Abstract

Deep brain stimulation (DBS) surgery is the gold standard therapeutic intervention in Parkinson's disease (PD) with motor complications, notwithstanding drug therapy. In the intraoperative evaluation of DBS's efficacy, neurologists impose a passive wrist flexion movement and qualitatively describe the perceived decrease in rigidity under different stimulation parameters and electrode positions. To tackle this subjectivity, we designed a wearable device to quantitatively evaluate the wrist rigidity changes during the neurosurgery procedure, supporting physicians in decision-making when setting the stimulation parameters and reducing surgery time. This system comprises a gyroscope sensor embedded in a textile band for patient's hand, communicating to a smartphone via Bluetooth and has been evaluated on three datasets, showing an average accuracy of 80%. In this work, we present a system that has seen four iterations since 2015, improving on accuracy, usability and reliability. We aim to review the work done so far, outlining the iHandU system evolution, as well as the main challenges, lessons learned, and future steps to improve it. We also introduce the last version (iHandU 4.0), currently used in DBS surgeries at São João Hospital in Portugal.

Indexed as

Deep Brain StimulationNeurosurgical ProceduresSoftwareHumansMotionSignal Processing, Computer-AssistedWearable Electronic DevicesWristdeep brain stimulationinertial sensorsintra-op classificationmathematical modelsparkinson’s diseasewearable systemwrist rigidity

Identifiers

PMID31936023
PMCPMC7013967
OpenAlexW2999251631

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.