Literature DB >> 28024426

Across-subject calibration of an instrumented glove to measure hand movement for clinical purposes.

Verónica Gracia-Ibáñez1, Margarita Vergara1, James H Buffi2,3, Wendy M Murray2,3,4, Joaquín L Sancho-Bru1.   

Abstract

Motion capture of all degrees of freedom of the hand collected during performance of daily living activities remains challenging. Instrumented gloves are an attractive option because of their higher ease of use. However, subject-specific calibration of gloves is lengthy and has limitations for individuals with disabilities. Here, a calibration procedure is presented, consisting in the recording of just a simple hand position so as to allow capture of the kinematics of 16 hand joints during daily life activities even in case of severe injured hands. 'across-subject gains' were obtained by averaging the gains obtained from a detailed subject-specific calibration involving 44 registrations that was repeated three times on multiple days to 6 subjects. In additional 4 subjects, joint angles that resulted from applying the 'across-subject calibration' or the subject-specific calibration were compared. Global errors associated with the 'across-subject calibration' relative to the detailed, subject-specific protocol were small (bias: 0.49°; precision: 4.45°) and comparable to those that resulted from repeating the detailed protocol with the same subject on multiple days (0.36°; 3.50°). Furthermore, in one subject, performance of the 'across-subject calibration' was directly compared to another fast calibration method, expressed relative to a videogrammetric protocol as a gold-standard, yielding better results.

Entities:  

Keywords:  Instrumented glove; across-subject calibration; fast calibration; hand disabilities; hand movement

Mesh:

Year:  2016        PMID: 28024426      PMCID: PMC8178967          DOI: 10.1080/10255842.2016.1265950

Source DB:  PubMed          Journal:  Comput Methods Biomech Biomed Engin        ISSN: 1025-5842            Impact factor:   1.763


  15 in total

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Authors:  Brady L Tripp; Tim L Uhl; Carl G Mattacola; Cidambi Srinivasan; Robert Shapiro
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5.  Grasp modelling with a biomechanical model of the hand.

Authors:  Joaquín L Sancho-Bru; Marta C Mora; Beatriz E León; Antonio Pérez-González; José L Iserte; Antonio Morales
Journal:  Comput Methods Biomech Biomed Engin       Date:  2012-05-15       Impact factor: 1.763

6.  A method for defining carpometacarpal joint kinematics from three-dimensional rotations of the metacarpal bones captured in vivo using computed tomography.

Authors:  James H Buffi; Joseph J Crisco; Wendy M Murray
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7.  Evaluation of hand motion capture protocol using static computed tomography images: application to an instrumented glove.

Authors:  James H Buffi; Joaquín Luis Sancho Bru; Joseph J Crisco; Wendy M Murray
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8.  Validity of a simple videogrammetric method to measure the movement of all hand segments for clinical purposes.

Authors:  Joaquín L Sancho-Bru; Néstor J Jarque-Bou; Margarita Vergara; Antonio Pérez-González
Journal:  Proc Inst Mech Eng H       Date:  2014-02-06       Impact factor: 1.617

9.  Design and evaluation of a low-cost instrumented glove for hand function assessment.

Authors:  Ninja P Oess; Johann Wanek; Armin Curt
Journal:  J Neuroeng Rehabil       Date:  2012-01-17       Impact factor: 4.262

10.  Assessment of hand kinematics using inertial and magnetic sensors.

Authors:  Henk G Kortier; Victor I Sluiter; Daniel Roetenberg; Peter H Veltink
Journal:  J Neuroeng Rehabil       Date:  2014-04-21       Impact factor: 4.262

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  9 in total

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Authors:  Alba Roda-Sales; Joaquín L Sancho-Bru; Margarita Vergara
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2.  Anthropomorphism Index of Mobility for Artificial Hands.

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3.  Effect on hand kinematics when using assistive devices during activities of daily living.

Authors:  Alba Roda-Sales; Margarita Vergara; Joaquín L Sancho-Bru; Verónica Gracia-Ibáñez; Néstor J Jarque-Bou
Journal:  PeerJ       Date:  2019-10-08       Impact factor: 2.984

4.  A Three-dimensional Finger Motion Measurement System of a Thumb and an Index Finger Without a Calibration Process.

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Journal:  Sensors (Basel)       Date:  2020-01-30       Impact factor: 3.576

5.  Synergy-Based Sensor Reduction for Recording the Whole Hand Kinematics.

Authors:  Néstor J Jarque-Bou; Joaquín L Sancho-Bru; Margarita Vergara
Journal:  Sensors (Basel)       Date:  2021-02-04       Impact factor: 3.576

6.  Using Sensorized Gloves and Dimensional Reduction for Hand Function Assessment of Patients with Osteoarthritis.

Authors:  Verónica Gracia-Ibáñez; Pablo-Jesús Rodríguez-Cervantes; Vicente Bayarri-Porcar; Pablo Granell; Margarita Vergara; Joaquín-Luis Sancho-Bru
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7.  Studying kinematic linkage of finger joints: estimation of kinematics of distal interphalangeal joints during manipulation.

Authors:  Alba Roda-Sales; Joaquín L Sancho-Bru; Margarita Vergara
Journal:  PeerJ       Date:  2022-10-04       Impact factor: 3.061

8.  Data Fusion-Based Musculoskeletal Synergies in the Grasping Hand.

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9.  A calibrated database of kinematics and EMG of the forearm and hand during activities of daily living.

Authors:  Néstor J Jarque-Bou; Margarita Vergara; Joaquín L Sancho-Bru; Verónica Gracia-Ibáñez; Alba Roda-Sales
Journal:  Sci Data       Date:  2019-11-11       Impact factor: 6.444

  9 in total

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