Evidence map›Paper›PMID 33803456›Full record

ArticleSensors (Basel, Switzerland)2021

Visualizing and Evaluating Finger Movement Using Combined Acceleration and Contact-Force Sensors: A Proof-of-Concept Study.

Hitomi Oigawa, Yoshiro Musha, Youhei Ishimine, Sumito Kinjo, Yuya Takesue, Hideyuki Negoro, Tomohiro Umeda

Open access · goldAbstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.2field-weighted citation impact, top 24% 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

2 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
  2. Article
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 3 institutions in 2 countries.

Hitomi OigawaDepartment of MBT, Graduate School of Medicine, Nara Medical University, Nara 634-8521, Japan.
Yoshiro MushaToho University Ohashi Medical Center, Department of Orthopedic Surgery, Toho University, Tokyo 153-8515, Japan.
Youhei IshimineToho University Ohashi Medical Center, Department of Orthopedic Surgery, Toho University, Tokyo 153-8515, Japan.
Sumito KinjoToho University Ohashi Medical Center, Department of Orthopedic Surgery, Toho University, Tokyo 153-8515, Japan.ORCID 0000-0002-4355-0665
Yuya TakesueToho University Ohashi Medical Center, Department of Orthopedic Surgery, Toho University, Tokyo 153-8515, Japan.
Hideyuki NegoroBrigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA.
Tomohiro UmedaMBT Institute, Nara Medical University, Nara 634-8521, Japan.
Toho University · JPNara Medical University · JPBrigham and Women's Hospital · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The 10-s grip and release is a method to evaluate hand dexterity. Current evaluations only visually determine the presence or absence of a disability, but experienced physicians may also make other diagnoses. In this study, we investigated a method for evaluating hand movement function by acquiring and analyzing fingertip data during a 10-s grip and release using a wearable sensor that can measure triaxial acceleration and strain. The subjects were two healthy females. The analysis was performed on the x-, y-, and z-axis data, and absolute acceleration and contact force of all fingertips. We calculated the variability of the data, the number of grip and release, the frequency response, and each finger's correlation. Experiments with some grip-and-release patterns have resulted in different characteristics for each. It was suggested that this could be expressed in radar charts to intuitively know the state of grip and release. Contact-force data of each finger were found to be useful for understanding the characteristics of grip and release and improving the accuracy of calculating the number of times to grip and release. Frequency analysis suggests that knowing the periodicity of grip and release can detect unnatural grip and release and tremor states. The correlations between the fingers allow us to consider the finger's grip-and-release characteristics, considering the hand's anatomy. By taking these factors into account, it is thought that the 10-s grip-and-release test could give us a new value by objectively assessing the motor functions of the hands other than the number of times of grip and release.

Indexed as

FingersHand StrengthAccelerationFemaleHandHumansMovement10-s grip and releaseaccelerationgrip strengthhealthcarestrainwearable sensor

Identifiers

PMID33803456
PMCPMC7967163
OpenAlexW3135365852

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.