The Experts below are selected from a list of 306 Experts worldwide ranked by ideXlab platform
Christina Jeroschherold - One of the best experts on this subject based on the ideXlab platform.
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assessment of Sensibility after nerve injury and repair a systematic review of evidence for validity reliability and responsiveness of tests
Journal of Hand Surgery (European Volume), 2005Co-Authors: Christina JeroschheroldAbstract:Recovery of Sensibility after peripheral nerve injury and repair needs to be assessed using psychometrically robust measures. In this study the literature was reviewed to identify what tests are available to quantify Sensibility and to assess their validity, reliability and responsiveness. The databases Medline, CINAHL, Embase and AMED were searched for studies reporting the psychometric properties of Sensibility tests. While there is a plethora of tests and studies reporting the outcomes after peripheral nerve suture only a few of the tests have evidence of validity, reliability and responsiveness. Currently the touch threshold test using monofilaments such as the Weinstein Enhanced Sensory Test (WEST) or Semmes-Weinstein Monofilament Test (SWMT) and the shape-texture identification (STI) test for tactile gnosis are the only tests which meet criteria for a standardized test and have had their psychometric properties evaluated and quantified.
T. Mouri - One of the best experts on this subject based on the ideXlab platform.
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Sensibility Control of Redundant Robots: Force Compensation by Kernel Trajectories
2006 IEEE International Conference on Industrial Technology, 2006Co-Authors: D. Vassileva, G. Boiadjiev, H. Kawasaki, T. MouriAbstract:This work is dedicated to force control of redundant robot-manipulators using the Sensibility approach. It allows the robot to react to external force appearance without changing its kinematics state. The Sensibility factor-group is introduced for description and analysis of the robot configuration space orthogonal fibrations. They divide the robot configuration space into four sets, each responsible for separate motion realization - one for position, one for orientation, one for both and one which does not affect the kinematics state. A concept of robot kernel trajectories is formulated and its application is clarified. The proposed approach is aimed to be applied for real time control of 7 d.o.f. robot. Simulations have been done for that robot taking into account its dynamics and Sensibility models and applying the force control method. The results are presented further.
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Sensibility control of redundant robots: Sensibility directions along trajectory tangent vectors
2005 IEEE International Conference on Industrial Technology, 2005Co-Authors: G. Boiadjiev, D. Vassileva, H. Kawasaki, T. MouriAbstract:This work is dedicated to accuracy control of redundant robot-manipulators using Sensibility approach. A manifold structure is applied to realize bases transition at local robot level. This assures optimal choice of drive subsets or combination of drives realizing motion with desired Sensibility. The formulated condition satisfaction in the robot configurational space leads to precise trajectory tracing in the working zone (coincidence of the Sensibility direction with the trajectory tangent vector). An illustrative example is presented and the explicit results are shown. The group theory application completes the considerations and it is helpful for better mechanical interpretation
Mericske-stern R - One of the best experts on this subject based on the ideXlab platform.
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Tactile Sensibility of single-tooth implants and natural teeth.
Clinical Oral Implants Research, 2007Co-Authors: Norbert Enkling, Claudia Nicolay, Peter Jöhren, Gerhard Wahl, Mericske-stern RAbstract:AIM: The purpose of this randomized split-mouth clinical trial was to determine the active tactile Sensibility between single-tooth implants and opposing natural teeth and to compare it with the tactile Sensibility of pairs of natural teeth on the contralateral side in the same mouth (intraindividual comparison). MATERIAL AND METHODS: The hypothesis was that the active tactile sensibilities of the implant side and control side are equivalent. Sixty two subjects (n=36 from Bonn, n=26 from Bern) with single-tooth implants (22 anterior and 40 posterior dental implants) were asked to bite on narrow copper foil strips varying in thickness (5-200 microm) and to decide whether or not they were able to identify a foreign body between their teeth. Active tactile Sensibility was defined as the 50% threshold of correct answers estimated by means of the Weibull distribution. RESULTS: The results obtained for the interocclusal perception Sensibility differed between subjects far more than they differed between natural teeth and implants in the same individual [implant/natural tooth: 16.7+/-11.3 microm (0.6-53.1 microm); natural tooth/natural tooth: 14.3+/-10.6 microm (0.5-68.2 microm)]. The intraindividual differences only amounted to a mean value of 2.4+/-9.4 microm (-15.1 to 27.5 microm). The result of our statistical calculations showed that the active tactile Sensibility of single-tooth implants, both in the anterior and posterior region of the mouth, in combination with a natural opposing tooth is similar to that of pairs of opposing natural teeth (double t-test, equivalence margin: +/-8 microm, P 80%). Hence, the implants could be integrated in the stomatognathic control circuit.
Karl-heinz Utz Prof. Dr. Med. Dent. - One of the best experts on this subject based on the ideXlab platform.
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Tactile Sensibility of Single-Tooth Implants and Natural Teeth Under Local Anesthesia of the Natural Antagonistic Teeth
Clinical Implant Dentistry and Related Research, 2009Co-Authors: Norbert Enkling Dr. Med. Dent., Stefan Heussner Dr. Med. Dent., Stefan Bayer Dr. Med. Dent., Regina Mericske-stern Prof. Dr. Med. Dent., Karl-heinz Utz Prof. Dr. Med. Dent.Abstract:Introduction and Aim: The term osseoperception describes the capability of developing a subtle tactile Sensibility over dental implants. The present clinical study aims at clarifying the question of how far tactile Sensibility is to be attributed to the periodontium of the natural opposing tooth of the implant. Material and Method: Thirty-two subjects with single-tooth implants with natural opposing teeth were included in this clinical, single-blind, split-mouth study. The natural antagonistic tooth of the implant and the corresponding natural contralateral tooth were anesthetized with a locally infiltrated articaine anesthetic. In a computer-assisted and randomized way, copper foils of varying thickness (0–100 µm) were placed interocclusally between the single-tooth implant and the natural opposing tooth, and between the contralateral pair of natural opposing teeth in order to investigate the active tactile Sensibility according to the psychophysical method of constant stimuli and evaluate it statistically by the Weibull distribution. Results: The average tactile Sensibility of the implants with anesthetized antagonists at the 50% value calculated by means of the Weibull distribution was 20 ± 11 µm with a support area (90%–10% value) of 77 ± 89 µm. For the pair of natural teeth, the tactile Sensibility at the 50% value was 16 ± 9 µm with a support area of 48.4 ± 93 µm. This resulted in an average intraindividual difference of 3.5 ± 7 µm at the 50% value and 29 ± 93 µm in the support area. The statistical calculations demonstrated an equivalent tactile Sensibility (50% value) of the single-tooth implant and the contralateral natural control tooth with the natural antagonists being anesthetized in each case (double t-test, equivalence limit ± 8 µm, P 80%). Conclusion: Apparently, the active tactile Sensibility of single-tooth implants with natural opposing teeth is not only to be attributed to the periodontium of the opposing tooth but also to a perception over the implant itself. This could support the hypothesis according to which the implant may have a tactile Sensibility of its own.
John Pullin - One of the best experts on this subject based on the ideXlab platform.
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Sensor Sensibility
Environmental Engineering, 2010Co-Authors: John PullinAbstract:As ADA S sensors become more intelligent, advanced central processing systems will increase in importance
