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Full-Text Articles in Orthotics and Prosthetics
Testing The Reliability Of Optical Coherence Tomography To Measure Epidermal Thickness And Distinguish Volar And Nonvolar Skin, Molly E. Baumann, Nina Rossa Haddad, Alyssa Salazar, W. Lee Childers, Shawn Farrokhi, Neil B. Goldstein, Brad D. Henderson, Lisa Reider, Richard E. Thompson, Michael S. Valerio, Christopher L. Dearth, Luis A. Garza, Major Extremity Trauma Research Consortium (Metrc)
Testing The Reliability Of Optical Coherence Tomography To Measure Epidermal Thickness And Distinguish Volar And Nonvolar Skin, Molly E. Baumann, Nina Rossa Haddad, Alyssa Salazar, W. Lee Childers, Shawn Farrokhi, Neil B. Goldstein, Brad D. Henderson, Lisa Reider, Richard E. Thompson, Michael S. Valerio, Christopher L. Dearth, Luis A. Garza, Major Extremity Trauma Research Consortium (Metrc)
Physical Therapy Faculty Articles and Research
In persons with limb loss, prosthetic devices cause skin breakdown, largely because residual limb skin (nonvolar) is not intended to bear weight such as palmoplantar (volar) skin. Before evaluation of treatment efficacy to improve skin resiliency, efforts are needed to establish normative data and assess outcome metric reliability. The purpose of this study was to use optical coherence tomography to (i) characterize volar and nonvolar skin epidermal thickness and (ii) examine the reliability of optical coherence tomography. Four orientations of optical coherence tomography images were collected on 33 volunteers (6 with limb loss) at 2 time points, and the epidermis …
An Approach For Identifying Gait Events Using Wavelet Denoising Technique And Single Wireless Imu, Rahul Soangra, Thurmon Lockhart, Nathalie Van De Berge
An Approach For Identifying Gait Events Using Wavelet Denoising Technique And Single Wireless Imu, Rahul Soangra, Thurmon Lockhart, Nathalie Van De Berge
Physical Therapy Faculty Articles and Research
A new approach is proposed to identify gait events in non-laboratory environments with a single inertial measurement unit (IMU) embedded inside shoe. The aim of our work is to develop a useful clinical tool for monitoring individuals walking disability and detect specific pathological gait patterns. Temporal parameters of gait are determined by classification of accelerations and angular velocities. Wavelets denoising of IMU signals allows for an important amount of information that is exploited in different manners for event identification. It was found that wavelet denoising enhanced specific turning points which could effectively identify gait events. The method is verified by …