Literature DB >> 28691124

Measuring Changes in Gait and Vehicle Transfer Ability During Inpatient Rehabilitation with Wearable Inertial Sensors.

Vladimir Borisov1, Gina Sprint2, Diane J Cook3, Douglas L Weeks4.   

Abstract

Restoration of functional independence in gait and vehicle transfer ability is a common goal of inpatient rehabilitation. Currently, ambulation changes tend to be subjectively assessed. To investigate more precise objective assessment of progress in inpatient rehabilitation, we quantitatively assessed gait and transfer performances over the course of rehabilitation with wearable inertial sensors for 20 patients receiving inpatient rehabilitation services. Secondarily, we asked physical therapists to provide feedback about the clinical utility of metrics derived from the sensors. Participant performance was recorded on a sequence of ambulatory tasks that closely resemble everyday activities. We developed a custom software system to process sensor signals and compute metrics that characterize ambulation performance. We quantify changes in gait and transfer ability by performing a repeated measures comparison of the metrics one week apart. Metrics showing the greatest improvement are walking speed, stride regularity, acceleration root mean square, walking smoothness, shank peak angular velocity, and shank range of motion. Furthermore, feedback from physical therapists suggests that wearable sensor-derived metrics can potentially provide rehabilitation therapists with additional valuable information to aid in treatment decisions.

Entities:  

Keywords:  Accelerometry; activity monitor; ambulatory monitoring; gait analysis; inertial measurement units; physical therapy; rehabilitation; signal processing; wearable sensors

Year:  2017        PMID: 28691124      PMCID: PMC5497512          DOI: 10.1109/PERCOMW.2017.7917600

Source DB:  PubMed          Journal:  Proc IEEE Int Conf Pervasive Comput Commun Workshops


  17 in total

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Authors:  S Borson; J Scanlan; M Brush; P Vitaliano; A Dokmak
Journal:  Int J Geriatr Psychiatry       Date:  2000-11       Impact factor: 3.485

2.  Acceleration patterns of the head and pelvis when walking on level and irregular surfaces.

Authors:  Hylton B Menz; Stephen R Lord; Richard C Fitzpatrick
Journal:  Gait Posture       Date:  2003-08       Impact factor: 2.840

3.  Methods for analyzing psychotherapy outcomes: a review of clinical significance, reliable change, and recommendations for future directions.

Authors:  Edward A Wise
Journal:  J Pers Assess       Date:  2004-02

4.  Gait analysis and estimation of changes in fall risk factors.

Authors:  Heidi Similä; Milla Immonen; Juho Merilahti; Tuula Petäkoski-Hult
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2015

5.  "Stops walking when talking" as a predictor of falls in elderly people.

Authors:  L Lundin-Olsson; L Nyberg; Y Gustafson
Journal:  Lancet       Date:  1997-03-01       Impact factor: 79.321

Review 6.  Stroke rehabilitation.

Authors:  Peter Langhorne; Julie Bernhardt; Gert Kwakkel
Journal:  Lancet       Date:  2011-05-14       Impact factor: 79.321

Review 7.  Toward Automating Clinical Assessments: A Survey of the Timed Up and Go.

Authors:  Gina Sprint; Diane J Cook; Douglas L Weeks
Journal:  IEEE Rev Biomed Eng       Date:  2015-01-12

8.  Gait assessment in Parkinson's disease: toward an ambulatory system for long-term monitoring.

Authors:  Arash Salarian; Heike Russmann; François J G Vingerhoets; Catherine Dehollain; Yves Blanc; Pierre R Burkhard; Kamiar Aminian
Journal:  IEEE Trans Biomed Eng       Date:  2004-08       Impact factor: 4.538

Review 9.  Gait analysis using wearable sensors.

Authors:  Weijun Tao; Tao Liu; Rencheng Zheng; Hutian Feng
Journal:  Sensors (Basel)       Date:  2012-02-16       Impact factor: 3.576

10.  The Parkinsonian Gait Spatiotemporal Parameters Quantified by a Single Inertial Sensor before and after Automated Mechanical Peripheral Stimulation Treatment.

Authors:  Ana Kleiner; Manuela Galli; Maria Gaglione; Daniela Hildebrand; Patrizio Sale; Giorgio Albertini; Fabrizio Stocchi; Maria Francesca De Pandis
Journal:  Parkinsons Dis       Date:  2015-10-01
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