Interest of visual biofeedback rehabilitation on balance in the lower limb amputee

Miled, Houda Migaou; Youssef, Iheb Bel Haj; Boudoukhane, S.; Salah, S.; Ayeb, Mohamed El; Jellad, A.; Frih, Z. Ben Salah

doi:10.1016/j.rehab.2017.07.200

Cited by 2 publications

(2 citation statements)

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“…Published literature shows that effective biofeedback methods have been used with people with lower-limb amputations alongside conventional techniques for monitoring and assessing loading, motion symmetry and improving gait [13,14]. Biofeedback in these settings is most commonly presented visually, with auditory and haptic methods (delivering feedback via a method of touch e.g.…”

Section: Introductionmentioning

confidence: 99%

Visual Biofeedback Tool for Quantitative Pressure Monitoring in Lower-Limb Prosthetic Sockets

Turner¹,

Jain²,

Patel³

et al. 2021

Preprint

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Obtaining a good socket fit is an iterative process dependent on the skill and experience of the prosthetist creating it, and requiring individualisation based on the size and shape. There is no standard measurement system used to aid prosthetic socket creation, despite the severe impacts on physical health and quality of life if one is ill-fitting. Pressure sensors embedded in a prosthetic socket were used to collect data at the socket-residuum interface. To choose an interpolation method, a 2D grid was used, with previously collected walking test pressure data, to simplify the sensor array with a border for extrapolation. Four multivariable interpolation methods were evaluated to create a colour map of the pressure data. Radial Basis Function interpolation was chosen as it produced a clear image with a graduated interpolation between data points and was used to create a colour map across the surface of a 3D prosthetic socket model. For the model to be accessible to clinical audiences, a desktop application was created using PyQt to view the model. The created application allowed for connection to the sensors via Bluetooth, with the pressure data updating the colour map on the 3D model in real-time. The created application shows the potential for a clinical product, however further development informed by feedback from rehabilitation clinicians and prosthesis users is required

show abstract

Section: Introductionmentioning

confidence: 99%

Visual Biofeedback Tool for Quantitative Pressure Monitoring in Lower-Limb Prosthetic Sockets

Turner¹,

Jain²,

Patel³

et al. 2021

Preprint

View full text Add to dashboard Cite

show abstract

“…Published literature shows that effective biofeedback methods have been used in people with lower-limb amputations alongside conventional techniques for monitoring and assessing loading, motion symmetry, and improving gait [15,16]. Biofeedback in these settings is most commonly presented visually, with auditory and haptic methods (delivering feedback via a method of touch, e.g., using sub-threshold electrical stimulation on the skin to signal a change in environment) also popular techniques [15].…”

Section: Introductionmentioning

confidence: 99%

A Visual Feedback Tool for Quantitative Pressure Monitoring in Lower-Limb Prosthetic Sockets

et al. 2021

View full text Add to dashboard Cite

Obtaining a good socket fit is an iterative process dependent on the skill and experience of the prosthetist creating it and requires individualisation based on the size and shape. There is no standard measurement system used to aid prosthetic socket creation despite the severe impacts on physical health and quality of life if one is ill fitting. Pressure sensors embedded in a prosthetic socket were used to collect data at the socket–residuum interface. To choose an interpolation method, the sensor array was simplified to a 2D grid with a border for extrapolation and tested using previously collected walking test pressure data. Four multivariable interpolation methods were evaluated to create a colour map of the pressure data. Radial basis function interpolation was chosen, as it produced a clear image with a graduated interpolation between data points, and was used to create a colour map across the surface of a 3D prosthetic socket model. For the model to be accessible to clinical audiences, a desktop application was created using PyQt to view the model. The application allowed for connection to the sensors via Bluetooth, with the pressure data updating on the 3D model in real time. Clinician feedback on the application showed the potential for a clinical product; however, further development informed by feedback from rehabilitation clinicians and prosthesis users is required.

show abstract

Interest of visual biofeedback rehabilitation on balance in the lower limb amputee

Cited by 2 publications

References 0 publications

Visual Biofeedback Tool for Quantitative Pressure Monitoring in Lower-Limb Prosthetic Sockets

Visual Biofeedback Tool for Quantitative Pressure Monitoring in Lower-Limb Prosthetic Sockets

A Visual Feedback Tool for Quantitative Pressure Monitoring in Lower-Limb Prosthetic Sockets

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