Evidence map›Paper›PMID 32091988›Full record

ArticleIEEE transactions on bio-medical engineering2020

Soft Nanomembrane Sensors and Flexible Hybrid Bioelectronics for Wireless Quantification of Blepharospasm.

Musa Mahmood, Shinjae Kwon, Gamze Kilic Berkmen, Yun-Soung Kim, Laura Scorr, H A Jinnah, Woon-Hong Yeo

Open access · greenAbstract read
In one paragraph

Article in IEEE transactions on bio-medical engineering, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.8field-weighted citation impact, top 12% 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

9 citing papers in PubMed, 27 citations in OpenAlex.

  1. An Exploratory, Randomized, Double-Blind Clinical Trial of Dipraglurant for Blepharospasm.Movement disorders : official journal of the Movement Disorder Society · 2024
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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

7 authors at 2 institutions in 1 country.

Musa Mahmood
Shinjae Kwon
Gamze Kilic Berkmen
Yun-Soung Kim
Laura Scorr
H A Jinnah
Woon-Hong Yeo
Georgia Institute of Technology · USEmory University · US

Funding

Dystonia Coalition- Pilot ProjectU54NS116025 · NINDS · EMORY UNIVERSITY · PI JINNAH, HYDER A · 2019 to 2023
$7.1M
Dystonia CoalitionU54TR001456 · NCATS · EMORY UNIVERSITY · PI JINNAH, HYDER A · 2015 to 2016
$2.5M
NCATS NIH HHS U54 TR001456NINDS NIH HHS U54 NS116025
6 · The paper itself

Abstract

Blepharospasm (BL) is characterized by involuntary closures of the eyelids due to spasms of the orbicularis oculi muscle. The gold standard for clinical evaluation of BL involves visual inspection for manual rating scales. This approach is highly subjective and error prone. Unfortunately, there are currently no simple quantitative systems for accurate and objective diagnostics of BL. Here, we introduce a soft, flexible hybrid bioelectronic system that offers highly conformal, gentle lamination on the skin, while enabling wireless, quantitative detection of electrophysiological signals. Computational and experimental studies of soft materials and flexible mechanics provide a set of key fundamental design factors for a low-profile bioelectronic system. The nanomembrane soft electrodes, mounted around the eyes, are capable of accurately measuring clinical symptoms, including the frequency of blinking, the duration of eye closures during spasms, as well as combinations of blinking and spasms. The use of a deep-learning, convolutional neural network, with the bioelectronics offers objective, real-time classification of key pathological features in BL. The wearable bioelectronics outperform the conventional manual clinical rating, as shown by a pilot study with 13 patients. In vivo demonstration of the bioelectronics with these patients indicates the device as an easy-to-use solution for objective quantification of BL.

Indexed as

BlepharospasmWearable Electronic DevicesElectrodesHumansNeural Networks, ComputerPilot Projects

Identifiers

PMID32091988
PMCPMC7604814
OpenAlexW3007112037

What OpenQuestion holds

Textmetadata
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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.