Literature DB >> 26609398

Wireless wearable range-of-motion sensor system for upper and lower extremity joints: a validation study.

Yogaprakash Kumar1, Shih-Cheng Yen1, Arthur Tay1, Wangwei Lee1, Fan Gao1, Ziyi Zhao1, Jingze Li1, Benjamin Hon1, Tim Tian-Ma Xu2, Angela Cheong3, Karen Koh3, Yee-Sien Ng4, Effie Chew5, Gerald Koh3.   

Abstract

Range-of-motion (ROM) assessment is a critical assessment tool during the rehabilitation process. The conventional approach uses the goniometer which remains the most reliable instrument but it is usually time-consuming and subject to both intra- and inter-therapist measurement errors. An automated wireless wearable sensor system for the measurement of ROM has previously been developed by the current authors. Presented is the correlation and accuracy of the automated wireless wearable sensor system against a goniometer in measuring ROM in the major joints of upper (UEs) and lower extremities (LEs) in 19 healthy subjects and 20 newly disabled inpatients through intra (same) subject comparison of ROM assessments between the sensor system against goniometer measurements by physical therapists. In healthy subjects, ROM measurements using the new sensor system were highly correlated with goniometry, with 95% of differences < 20° and 10° for most movements in major joints of UE and LE, respectively. Among inpatients undergoing rehabilitation, ROM measurements using the new sensor system were also highly correlated with goniometry, with 95% of the differences being < 20° and 25° for most movements in the major joints of UE and LE, respectively.

Entities:  

Keywords:  biomechanics; biomedical equipment; goniometer measurements; goniometers; lower extremity joints; motion measurement; patient rehabilitation; range-of-motion assessment; rehabilitation process; upper extremity joints; wireless sensor networks; wireless wearable range-of-motion sensor system

Year:  2015        PMID: 26609398      PMCID: PMC4613894          DOI: 10.1049/htl.2014.0100

Source DB:  PubMed          Journal:  Healthc Technol Lett        ISSN: 2053-3713


  18 in total

1.  Tests of wireless wearable sensor system in joint angle measurement of lower limbs.

Authors:  Takashi Watanabe; Hiroki Saito
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2011

2.  The reliability and concurrent validity of shoulder mobility measurements using a digital inclinometer and goniometer: a technical report.

Authors:  Morey J Kolber; William J Hanney
Journal:  Int J Sports Phys Ther       Date:  2012-06

3.  A new approach to accurate measurement of uniaxial joint angles based on a combination of accelerometers and gyroscopes.

Authors:  Hooman Dejnabadi; Brigitte M Jolles; Kamiar Aminian
Journal:  IEEE Trans Biomed Eng       Date:  2005-08       Impact factor: 4.538

4.  Development of a real-time three-dimensional spinal motion measurement system for clinical practice.

Authors:  Christina Goodvin; Edward J Park; Kevin Huang; Kelly Sakaki
Journal:  Med Biol Eng Comput       Date:  2006-11-11       Impact factor: 2.602

5.  Remote measurement via the Internet of upper limb range of motion in people who have had a stroke.

Authors:  Tammy Hoffmann; Trevor Russell; Hana Cooke
Journal:  J Telemed Telecare       Date:  2007       Impact factor: 6.184

6.  A smartphone-centric system for the range of motion assessment in stroke patients.

Authors:  Wang Wei Lee; Shih-Cheng Yen; Arthur Tay; Ziyi Zhao; Tian Ma Xu; Karen Koh Mui Ling; Yee-Sien Ng; Effie Chew; Angela Lou Kuen Cheong; Gerald Koh Choon Huat
Journal:  IEEE J Biomed Health Inform       Date:  2014-11       Impact factor: 5.772

7.  Statistical methods for assessing agreement between two methods of clinical measurement.

Authors:  J M Bland; D G Altman
Journal:  Lancet       Date:  1986-02-08       Impact factor: 79.321

8.  Comparing methods of measurement: why plotting difference against standard method is misleading.

Authors:  J M Bland; D G Altman
Journal:  Lancet       Date:  1995-10-21       Impact factor: 79.321

9.  Comparison of quadriceps angle measurements using short-arm and long-arm goniometers: correlation with MRI.

Authors:  Christine E Draper; Kelvin T L Chew; Roberta Wang; Fabio Jennings; Garry E Gold; Michael Fredericson
Journal:  PM R       Date:  2011-02       Impact factor: 2.298

10.  Ambulatory system for human motion analysis using a kinematic sensor: monitoring of daily physical activity in the elderly.

Authors:  Bijan Najafi; Kamiar Aminian; Anisoara Paraschiv-Ionescu; François Loew; Christophe J Büla; Philippe Robert
Journal:  IEEE Trans Biomed Eng       Date:  2003-06       Impact factor: 4.538

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  4 in total

1.  Development and User Evaluation of a Smartphone-Based System to Assess Range of Motion of Wrist Joint.

Authors:  Naoto Ienaga; Koji Fujita; Takafumi Koyama; Toru Sasaki; Yuta Sugiura; Hideo Saito
Journal:  J Hand Surg Glob Online       Date:  2020-10-16

Review 2.  Measurement of Upper Limb Range of Motion Using Wearable Sensors: A Systematic Review.

Authors:  Corrin P Walmsley; Sîan A Williams; Tiffany Grisbrook; Catherine Elliott; Christine Imms; Amity Campbell
Journal:  Sports Med Open       Date:  2018-11-29

3.  Singapore Tele-technology Aided Rehabilitation in Stroke (STARS) trial: protocol of a randomized clinical trial on tele-rehabilitation for stroke patients.

Authors:  Gerald Choon-Huat Koh; Shih Cheng Yen; Arthur Tay; Angela Cheong; Yee Sien Ng; Deidre Anne De Silva; Carolina Png; Kevin Caves; Karen Koh; Yogaprakash Kumar; Shi Wen Phan; Bee Choo Tai; Cynthia Chen; Effie Chew; Zhaojin Chao; Chun En Chua; Yen Sin Koh; Helen Hoenig
Journal:  BMC Neurol       Date:  2015-09-05       Impact factor: 2.474

Review 4.  Advanced rehabilitation technology in orthopaedics-a narrative review.

Authors:  Yuichi Kuroda; Matthew Young; Haitham Shoman; Anuj Punnoose; Alan R Norrish; Vikas Khanduja
Journal:  Int Orthop       Date:  2020-10-13       Impact factor: 3.075

  4 in total

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