Searched for: author%3A%22Veltink%2C+P.H.%22
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Lobo-Prat, J. (author), Kooren, P.N. (author), Stienen, A.H.A. (author), Herder, J.L. (author), Koopman, B.F.J.M. (author), Veltink, P.H. (author)
Active movement-assistive devices aim to increase the quality of life for patients with neuromusculoskeletal disorders. This technology requires interaction between the user and the device through a control interface that detects the user’s movement intention. Researchers have explored a wide variety of invasive and non-invasive control...
journal article 2014
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Lobo-Prat, J. (author), Keemink, A.Q.L. (author), Stienen, A.H.A. (author), Schouten, A.C. (author), Veltink, P.H. (author), Koopman, B.F.J.M. (author)
Background: The performance capabilities and limitations of control interfaces for the operation of active movement-assistive devices remain unclear. Selecting an optimal interface for an application requires a thorough understanding of the performance of multiple control interfaces. Methods: In this study the performance of EMG-, force- and...
journal article 2014
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Westerveld, A.J. (author), Schouten, A.C. (author), Veltink, P.H. (author), Van der Kooij, H. (author)
Background Stroke survivors often have difficulties in manipulating objects with their affected hand. Thumb control plays an important role in object manipulation. Surface functional electrical stimulation (FES) can assist movement. We aim to control the 2D thumb force by predicting the sum of individual muscle forces, described by a sigmoidal...
journal article 2013