Up to now robotics play a minor role in orthopedic surgery because the financing and daily costs of these devices overburden the budgets of normal hospitals. The technical demands are time consuming and pose an additional cost factor. The trauma to the patients in the opinion of some authors is considerable. Nevertheless, robotics play an important role in the further development of orthopedic surgery because improvements in technology will lead to a better operative outcome for the patients. Navigation devices have been developed in the last few years in different centers. From the medical point of view, it is important that navigation systems support surgeons in the analysis of all questions concerning alignment. This pertains not only to rotation analyses of the femur and tibia components but also to analyses of the cinematic gap in flexion and extension. The handling of soft tissues has an important influence on the postoperative function of the knee. It is also a medical issue that the navigation systems should be open, i.e., that different designs of implants could be implanted with one navigation device. There are some systems which offer this quality. Improvements in technology are necessary especially in rotation analyses of the lower limb.
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http://dx.doi.org/10.1007/s00132-003-0479-1 | DOI Listing |
Children (Basel)
December 2024
Department of Pediatric and Adolescent Surgery, Medical University of Graz, 8036 Graz, Austria.
: Advancements in artificial intelligence (AI) and machine learning (ML) are set to revolutionize healthcare, particularly in fields like endoscopic surgery that heavily rely on digital imaging. However, to effectively integrate these technologies and drive future innovations, pediatric surgeons need specialized AI/ML skills. This survey evaluated the current level of readiness and educational needs regarding AI/ML among members of the European Society of Pediatric Endoscopic Surgeons (ESPES).
View Article and Find Full Text PDFBiomimetics (Basel)
January 2025
Faculty of Engineering, Tokyo Polytechnic University, 1583 Iiyama, Atsugi 243-0297, Kanagawa, Japan.
Wrist movements play a crucial role in upper-limb motor tasks. As prosthetic and robotic hand technologies have evolved, increasing attention has been focused on replicating the anatomy and functionality of the wrist. Closely imitating the biomechanics and movement mechanisms of human limbs is expected to enhance the overall performance of bionic robotic hands.
View Article and Find Full Text PDFBiomimetics (Basel)
January 2025
School of Engineering and Physical Sciences, Lincoln Centre for Autonomous Systems, College of Health and Science, University of Lincoln, Lincoln LN6 7TS, UK.
With the increasing application of robots in human-centred environments, there is increasing motivation for incorporating some degree of human-like social competences. Fields such as psychology and cognitive science not only provide guidance on the types of behaviour that could and should be exhibited by the robots, they may also indicate the manner in which these behaviours can be achieved. The domain of social child-robot interaction (sCRI) provides a number of challenges and opportunities in this regard; the application to an educational context allows child-learning outcomes to be characterised as a result of robot social behaviours.
View Article and Find Full Text PDFJ Neuroeng Rehabil
January 2025
Secteur des Sciences de la Santé, Institut de Recherche Expérimentale et Clinique, Neuro Musculo Skeletal Lab (NMSK), UCLouvain, Avenue Mounier 53, 1200, Brussels, Belgium.
Background: Intensive rehabilitation through challenging and individualized tasks are recommended to enhance upper limb recovery after stroke. Robot-assisted therapy (RAT) and serious games could be used to enhance functional recovery by providing simultaneous motor and cognitive rehabilitation.
Objective: The aim of this study is to clinically validate the dynamic difficulty adjustment (DDA) mechanism of ROBiGAME, a robot serious game designed for simultaneous rehabilitation of motor impairments and hemispatial neglect.
Biomed Signal Process Control
August 2024
CNRS-University of Montpellier LIRMM, UMR5506, Interactive Digital Human, Montpellier, France.
Correlation coefficients play a pivotal role in quantifying linear relationships between random variables. Yet, their application to time series data is very challenging due to temporal dependencies. This paper introduces a novel approach to estimate the statistical significance of correlation coefficients in time series data, addressing the limitations of traditional methods based on the concept of effective degrees of freedom (or effective sample size, ESS).
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