Detecting destabilizing wheelchair conditions for maintaining seated posture.
Purpose:The purpose of this study was to detect and classify potentially destabilizing conditions encountered by manual wheelchair users with spinal cord injuries (SCI) to dynamically increase stability and prevent falls. Methods:A volunteer with motor complete T11 paraplegia repeatedly propelled hi...
| Publicado en: | Disability & Rehabilitation: Assistive Technology Vol. 13; no. 2; pp. 178 - 186 |
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| Autores principales: | , , , , |
| Formato: | pictorial research tables/charts Journal Article |
| Publicado: |
Taylor & Francis Ltd
2018
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=126756849&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 126756849 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 17483107 1X04 jtl: Disability & Rehabilitation: Assistive Technology issn: 17483107 maglogo: Y pubinfo: dt: 2018 vid: 13 iid: 2 pid: 377 pub: Taylor & Francis Ltd place: Philadelphia, Pennsylvania artinfo: ui: 126756849 126756849 126756849 10.1080/17483107.2017.1300347 126756849 ppf: 178 ppct: 8 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Detecting destabilizing wheelchair conditions for maintaining seated posture. aug: au: Crawford, Anna Armstrong, Kiley Loparo, Kenneth Audu, Musa Triolo, Ronald affil: Motion Study Laboratory, Louis Stokes Cleveland, Affairs Medical Center, Cleveland, OH, USA sug: subj: Spinal Cord Injuries Rehabilitation Wheelchairs Adaptive Seating Balance, Postural Equipment Design Product Evaluation Human Kinematics Funding Source Acceleration Accidental Falls Prevention and Control Algorithms Descriptive Statistics Quality of Life Activities of Daily Living Repeated Measures Motion Wheelchair Control Devices Wheelchair Fitting ab: Purpose:The purpose of this study was to detect and classify potentially destabilizing conditions encountered by manual wheelchair users with spinal cord injuries (SCI) to dynamically increase stability and prevent falls. Methods:A volunteer with motor complete T11 paraplegia repeatedly propelled his manual wheelchair over level ground and simulated destabilizing conditions including sudden stops, bumps and rough terrain. Wireless inertial measurement units attached to the wheelchair frame and his sternum recorded associated accelerations and angular velocities. Algorithms based on mean, standard deviation and minimum Mahalanobis distance between conditions were constructed and applied to the data off-line to discriminate between events. Classification accuracy was computed to assess effects of sensor position and potential for automatically selecting a dynamic intervention to best stabilize the wheelchair user. Results:The decision algorithm based on acceleration signals successfully differentiated destabilizing conditions and level over-ground propulsion with classification accuracies of 95.8, 58.3 and 91.7% for the chest, wheelchair and both sensors, respectively. Conclusion:Mahalanobis distance classification based on trunk accelerations is a feasible method for detecting destabilizing events encountered by wheelchair users and may serve as an effective trigger for protective interventions. Incorporating data from wheelchair-mounted sensors decreases the false negative rate. Implications for RehabilitationSCI has a significant impact on quality of life, compromising the ability to participate in social or leisure activities, and complete other activities of daily living for an independent lifestyle.Using inertial measurement units to build an event classifier for control the actions of a neuroprosthetic device for maintaining seated posture in wheelchair users.Varying muscle activation increases user stability reducing the risk of injury. pubtype: Academic Journal doctype: pictorial research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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