Literature DB >> 32377175

Wearable Inertial Sensors for Range of Motion Assessment.

Ashwin Rajkumar1, Fabio Vulpi1, Satish Reddy Bethi1, Hassam Khan Wazir1, Preeti Raghavan2, Vikram Kapila1.   

Abstract

This paper presents the design and development of wearable inertial sensors (WIS) for real-time simultaneous triplanar motion capture of the upper extremity (UE). The sensors simultaneously capture in the frontal, sagittal, and horizontal planes UE range of motion (ROM), which is critical to assess an individual's movement limitations and determine appropriate rehabilitative treatments. Off-the-shelf sensors and microcontrollers are used to develop the WIS system, which wirelessly streams real-time joint orientation for UE ROM measurement. Key developments include: 1) two novel approaches, using earth's gravity (EG approach) and magnetic field (EGM approach) as references, to correct misalignments in the orientation between the sensor and its housing to minimize measurement errors; 2) implementation of the joint coordinate system (JCS)-based method for triplanar ROM measurements for clinical use; and 3) an in-situ guided mounting technique for accurate sensor placement and alignment on human body. The results 1) compare computational time between two orientation misalignment correction approaches (EG approach = 325.05 μs and EGM approach = 92.05μs); 2) demonstrate the accuracy and repeatability of measurements from the WIS system (percent deviation of measured angle from applied angle is less than ±6.5% and percent coefficient of variation is less than 11%, indicating acceptable accuracy and repeatability, respectively); and 3) demonstrate the feasibility of using the WIS system within the JCS framework for providing anatomically-correct simultaneous triplanar ROM measurements of shoulder, elbow, and forearm movements during several upper limb exercises.

Entities:  

Keywords:  joint coordinate system; motion capture; motor assessment; range of motion; rehabilitation; triplanar; wearable inertial sensors

Year:  2019        PMID: 32377175      PMCID: PMC7202549          DOI: 10.1109/JSEN.2019.2960320

Source DB:  PubMed          Journal:  IEEE Sens J        ISSN: 1530-437X            Impact factor:   3.301


  18 in total

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Review 5.  Wearable inertial sensors for human movement analysis.

Authors:  Marco Iosa; Pietro Picerno; Stefano Paolucci; Giovanni Morone
Journal:  Expert Rev Med Devices       Date:  2016-06-17       Impact factor: 3.166

6.  DeepLabCut: markerless pose estimation of user-defined body parts with deep learning.

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Journal:  Nat Neurosci       Date:  2018-08-20       Impact factor: 24.884

7.  Scapular and humeral movement patterns of people with stroke during range-of-motion exercises.

Authors:  Dustin D Hardwick; Catherine E Lang
Journal:  J Neurol Phys Ther       Date:  2011-03       Impact factor: 3.649

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Journal:  Surg Radiol Anat       Date:  2003-11-26       Impact factor: 1.246

9.  Measurement of Shoulder Range of Motion in Patients with Adhesive Capsulitis Using a Kinect.

Authors:  Seung Hak Lee; Chiyul Yoon; Sun Gun Chung; Hee Chan Kim; Youngbin Kwak; Hee-Won Park; Keewon Kim
Journal:  PLoS One       Date:  2015-06-24       Impact factor: 3.240

10.  An analysis of functional shoulder movements during task performance using Dartfish movement analysis software.

Authors:  Leenesh Khadilkar; Joy C MacDermid; Kathryn E Sinden; Thomas R Jenkyn; Trevor B Birmingham; George S Athwal
Journal:  Int J Shoulder Surg       Date:  2014-01
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  3 in total

1.  Infrared Monitoring of Oxygenation Process Generated by Robotic Verticalization in Bedridden People.

Authors:  Aime Lay-Ekuakille; Cosimo Chiffi; Antonio Celesti; Md Zia Ur Rahman; Satya P Singh
Journal:  IEEE Sens J       Date:  2021-03-25       Impact factor: 4.325

2.  Inertial Sensor-to-Segment Calibration for Accurate 3D Joint Angle Calculation for Use in OpenSim.

Authors:  Giacomo Di Raimondo; Benedicte Vanwanseele; Arthur van der Have; Jill Emmerzaal; Miel Willems; Bryce Adrian Killen; Ilse Jonkers
Journal:  Sensors (Basel)       Date:  2022-04-24       Impact factor: 3.847

3.  Usability study of wearable inertial sensors for exergames (WISE) for movement assessment and exercise.

Authors:  Ashwin Rajkumar; Fabio Vulpi; Satish Reddy Bethi; Preeti Raghavan; Vikram Kapila
Journal:  Mhealth       Date:  2021-01-20
  3 in total

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