Literature DB >> 33803456

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

Hitomi Oigawa1, Yoshiro Musha2, Youhei Ishimine2, Sumito Kinjo2, Yuya Takesue2, Hideyuki Negoro3,4, Tomohiro Umeda4.   

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.

Entities:  

Keywords:  10-s grip and release; acceleration; grip strength; healthcare; strain; wearable sensor

Mesh:

Year:  2021        PMID: 33803456      PMCID: PMC7967163          DOI: 10.3390/s21051918

Source DB:  PubMed          Journal:  Sensors (Basel)        ISSN: 1424-8220            Impact factor:   3.576


  45 in total

1.  FUNCTIONAL EVALUATION: THE BARTHEL INDEX.

Authors:  F I MAHONEY; D W BARTHEL
Journal:  Md State Med J       Date:  1965-02

2.  Handgrip strength and its association with functional independence, depressive symptoms and quality of life in older adults.

Authors:  Bamini Gopinath; Annette Kifley; Gerald Liew; Paul Mitchell
Journal:  Maturitas       Date:  2017-09-22       Impact factor: 4.342

3.  Quality-of-life and outcome predictors following massive burn injury.

Authors:  Alexander Anzarut; Matthew Chen; Heather Shankowsky; Edward E Tredget
Journal:  Plast Reconstr Surg       Date:  2005-09       Impact factor: 4.730

4.  Development of a new assessment tool for cervical myelopathy using hand-tracking sensor: Part 2: normative values.

Authors:  M Abdulhadi Alagha; Mahmoud A Alagha; Eleanor Dunstan; Olaf Sperwer; Kate A Timmins; Bronek M Boszczyk
Journal:  Eur Spine J       Date:  2017-01-19       Impact factor: 3.134

5.  Low Grip Strength and Prediabetes in Normal-Weight Adults.

Authors:  Arch G Mainous; Rebecca J Tanner; Stephen D Anton; Ara Jo
Journal:  J Am Board Fam Med       Date:  2016 Mar-Apr       Impact factor: 2.657

6.  A simple performance test for quantifying the severity of cervical myelopathy.

Authors:  N Hosono; H Sakaura; Y Mukai; T Kaito; T Makino; H Yoshikawa
Journal:  J Bone Joint Surg Br       Date:  2008-09

7.  Multi-finger coordination in healthy subjects and stroke patients: a mathematical modelling approach.

Authors:  Ilaria Carpinella; Johanna Jonsdottir; Maurizio Ferrarin
Journal:  J Neuroeng Rehabil       Date:  2011-04-20       Impact factor: 4.262

8.  Handgrip Strength Is Associated with Poorer Cognitive Functioning in Aging Americans.

Authors:  Ryan McGrath; Sheria G Robinson-Lane; Summer Cook; Brian C Clark; Stephen Herrmann; Melissa Lunsman O'Connor; Kyle J Hackney
Journal:  J Alzheimers Dis       Date:  2019       Impact factor: 4.160

9.  Design considerations for a wearable monitor to measure finger posture.

Authors:  Lisa K Simone; Derek G Kamper
Journal:  J Neuroeng Rehabil       Date:  2005-03-01       Impact factor: 4.262

10.  Validity of a Fully-Immersive VR-Based Version of the Box and Blocks Test for Upper Limb Function Assessment in Parkinson's Disease.

Authors:  Edwin Daniel Oña; Alberto Jardón; Alicia Cuesta-Gómez; Patricia Sánchez-Herrera-Baeza; Roberto Cano-de-la-Cuerda; Carlos Balaguer
Journal:  Sensors (Basel)       Date:  2020-05-13       Impact factor: 3.576

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