Literature DB >> 25504484

Role of body-worn movement monitor technology for balance and gait rehabilitation.

Fay Horak1, Laurie King2, Martina Mancini3.   

Abstract

This perspective article will discuss the potential role of body-worn movement monitors for balance and gait assessment and treatment in rehabilitation. Recent advances in inexpensive, wireless sensor technology and smart devices are resulting in an explosion of miniature, portable sensors that can quickly and accurately quantify body motion. Practical and useful movement monitoring systems are now becoming available. It is critical that therapists understand the potential advantages and limitations of such emerging technology. One important advantage of obtaining objective measures of balance and gait from body-worn sensors is impairment-level metrics characterizing how and why functional performance of balance and gait activities are impaired. Therapy can then be focused on the specific physiological reasons for difficulty in walking or balancing during specific tasks. A second advantage of using technology to measure balance and gait behavior is the increased sensitivity of the balance and gait measures to document mild disability and change with rehabilitation. A third advantage of measuring movement, such as postural sway and gait characteristics, with body-worn sensors is the opportunity for immediate biofeedback provided to patients that can focus attention and enhance performance. In the future, body-worn sensors may allow therapists to perform telerehabilitation to monitor compliance with home exercise programs and the quality of their natural mobility in the community. Therapists need technological systems that are quick to use and provide actionable information and useful reports for their patients and referring physicians. Therapists should look for systems that provide measures that have been validated with respect to gold standard accuracy and to clinically relevant outcomes such as fall risk and severity of disability.
© 2015 American Physical Therapy Association.

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Year:  2014        PMID: 25504484      PMCID: PMC4348720          DOI: 10.2522/ptj.20140253

Source DB:  PubMed          Journal:  Phys Ther        ISSN: 0031-9023


  67 in total

1.  Step length variability at gait initiation in elderly fallers and non-fallers, and young adults.

Authors:  Ginette Azizah Mbourou; Yves Lajoie; Normand Teasdale
Journal:  Gerontology       Date:  2003 Jan-Feb       Impact factor: 5.140

2.  Capturing ambulatory activity decline in Parkinson's disease.

Authors:  James T Cavanaugh; Terry D Ellis; Gammon M Earhart; Matthew P Ford; K Bo Foreman; Leland E Dibble
Journal:  J Neurol Phys Ther       Date:  2012-06       Impact factor: 3.649

3.  Prospective assessment of falls in Parkinson's disease.

Authors:  B R Bloem; Y A Grimbergen; M Cramer; M Willemsen; A H Zwinderman
Journal:  J Neurol       Date:  2001-11       Impact factor: 4.849

4.  Functional calibration procedure for 3D knee joint angle description using inertial sensors.

Authors:  J Favre; R Aissaoui; B M Jolles; J A de Guise; K Aminian
Journal:  J Biomech       Date:  2009-08-08       Impact factor: 2.712

5.  Increased gait unsteadiness in community-dwelling elderly fallers.

Authors:  J M Hausdorff; H K Edelberg; S L Mitchell; A L Goldberger; J Y Wei
Journal:  Arch Phys Med Rehabil       Date:  1997-03       Impact factor: 3.966

6.  Concussion induces gait inter-joint coordination variability under conditions of divided attention and obstacle crossing.

Authors:  Shiu-Ling Chiu; Louis Osternig; Li-Shan Chou
Journal:  Gait Posture       Date:  2013-04-08       Impact factor: 2.840

7.  Body-worn sensors capture variability, but not decline, of gait and balance measures in multiple sclerosis over 18 months.

Authors:  Rebecca I Spain; Martina Mancini; Fay B Horak; Dennis Bourdette
Journal:  Gait Posture       Date:  2013-12-21       Impact factor: 2.840

8.  Do clinical scales of balance reflect turning abnormalities in people with Parkinson's disease?

Authors:  Laurie A King; Martina Mancini; Kelsey Priest; Arash Salarian; Fatima Rodrigues-de-Paula; Fay Horak
Journal:  J Neurol Phys Ther       Date:  2012-03       Impact factor: 3.649

9.  The instrumented timed up and go test: potential outcome measure for disease modifying therapies in Parkinson's disease.

Authors:  Cris Zampieri; Arash Salarian; Patricia Carlson-Kuhta; Kamiar Aminian; John G Nutt; Fay B Horak
Journal:  J Neurol Neurosurg Psychiatry       Date:  2009-09-02       Impact factor: 10.154

10.  Exploring outcome measures for exercise intervention in people with Parkinson's disease.

Authors:  L A King; A Salarian; M Mancini; K C Priest; J Nutt; A Serdar; J Wilhelm; J Schlimgen; M Smith; F B Horak
Journal:  Parkinsons Dis       Date:  2013-04-30
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  52 in total

1.  Gait Cycle Validation and Segmentation Using Inertial Sensors.

Authors:  G V Prateek; Pietro Mazzoni; Gammon M Earhart; Arye Nehorai
Journal:  IEEE Trans Biomed Eng       Date:  2019-11-25       Impact factor: 4.538

Review 2.  Clinical and methodological challenges for assessing freezing of gait: Future perspectives.

Authors:  Martina Mancini; Bastiaan R Bloem; Fay B Horak; Simon J G Lewis; Alice Nieuwboer; Jorik Nonnekes
Journal:  Mov Disord       Date:  2019-05-02       Impact factor: 10.338

3.  Inertial and time-of-arrival ranging sensor fusion.

Authors:  Paul Vasilyev; Sean Pearson; Mahmoud El-Gohary; Mateo Aboy; James McNames
Journal:  Gait Posture       Date:  2017-02-20       Impact factor: 2.840

4.  Is the dual-task cost of walking and texting unique in people with multiple sclerosis?

Authors:  Bilal Sirhan; Lior Frid; Alon Kalron
Journal:  J Neural Transm (Vienna)       Date:  2018-10-08       Impact factor: 3.575

5.  Effects of water immersion on quasi-static standing exploring center of pressure sway and trunk acceleration: a case series after incomplete spinal cord injury.

Authors:  Andresa R Marinho-Buzelli; Hossein Rouhani; Beverley Catharine Craven; Kei Masani; José Angelo Barela; Milos R Popovic; Mary C Verrier
Journal:  Spinal Cord Ser Cases       Date:  2019-01-17

6.  Intraoperative workload in robotic surgery assessed by wearable motion tracking sensors and questionnaires.

Authors:  Denny Yu; Cem Dural; Melissa M B Morrow; Liyun Yang; Justin W Collins; Susan Hallbeck; Magnus Kjellman; Mikael Forsman
Journal:  Surg Endosc       Date:  2016-08-05       Impact factor: 4.584

Review 7.  Overview of the cholinergic contribution to gait, balance and falls in Parkinson's disease.

Authors:  Rosie Morris; Douglas N Martini; Tara Madhyastha; Valerie E Kelly; Thomas J Grabowski; John Nutt; Fay Horak
Journal:  Parkinsonism Relat Disord       Date:  2019-02-14       Impact factor: 4.891

8.  Characterization of Head-Trunk Coordination Deficits After Unilateral Vestibular Hypofunction Using Wearable Sensors.

Authors:  Serene S Paul; Leland E Dibble; Raymond G Walther; Clough Shelton; Richard Klaus Gurgel; Mark E Lester
Journal:  JAMA Otolaryngol Head Neck Surg       Date:  2017-10-01       Impact factor: 6.223

9.  Continuous monitoring of turning in Parkinson's disease: Rehabilitation potential.

Authors:  Martina Mancini; Mahmoud El-Gohary; Sean Pearson; James McNames; Heather Schlueter; John G Nutt; Laurie A King; Fay B Horak
Journal:  NeuroRehabilitation       Date:  2015       Impact factor: 2.138

10.  Balance and Gait Represent Independent Domains of Mobility in Parkinson Disease.

Authors:  Fay B Horak; Martina Mancini; Patricia Carlson-Kuhta; John G Nutt; Arash Salarian
Journal:  Phys Ther       Date:  2016-03-31
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