The aim of this study is to demonstrate the hypothesis that the experience of the surgeon is sufficient to partially compensate for the lack of haptic feedback of the robotic system da Vinci Si HD (Intuitive (®) ). Twenty-five international surgeons belonging to different areas of surgical specialization were divided into two groups of investigation: experts and non-experts in the use of da Vinci Platform. This allocation was made on the basis of the following criteria: the number of performed procedures, the number of robotic working days and the number of true console hours. All participants underwent a specific test to assess their ability to recognize the thickness of custom-made membranes, without the availability of haptic feedback. After the performance of the surgeons, score was given according to an appropriate evaluation system (time, preciseness, force of tension and finding a metallic object). The analysis of the performances of participants provided the following results: an average score of 8.87 for the experts compared to 3.57 of non-experts with significant difference (P < 0.05). Other parameters of interest as the average time to conduct the test showed a result of 28.8 s for experts and 71.3 s of non-experts. After our results, a significant difference between the two groups in terms of performance was found. Our hypothesis that the expertise ability of the experts might partially overcome the lack of haptic feedback was confirmed. Probably visual feedback may play a role.
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http://dx.doi.org/10.1007/s11701-015-0541-0 | DOI Listing |
Wearable Technol
December 2024
Institute of Advanced Materials for Sustainable Manufacturing, Tecnologico de Monterrey, Monterrey 64849, Nuevo Leon, Mexico.
This paper explores the integration of haptic gloves and virtual reality (VR) environments to enhance industrial training and operational efficiency within the framework of Industry 4.0 and Industry 5.0.
View Article and Find Full Text PDFEur J Neurosci
January 2025
Human Performance Research Centre, University of Konstanz, Constance, Germany.
Lightly touching a solid object reduces postural sway. Here, we determine the effect of artificially modifying haptic feedback for balance. Participants stood with their eyes closed, lightly gripping a manipulandum that moved synchronously with body sway to systematically enhance or attenuate feedback gain between +2 and -2, corresponding to motion in the same or opposite direction to the body, respectively.
View Article and Find Full Text PDFJ Dent Sci
December 2024
School of Dentistry, National Taiwan University, Taipei, Taiwan.
Integrating augmented reality (AR) and virtual reality (VR) into dental surgery education and practice has significantly advanced the precision and interactivity of dental training and patient care. This narrative review summarizes findings from extensive literature searches conducted in PubMed, Cochrane Library, and Embase, highlighting AR and VR technologies transformative impact and current applications. Research shows that AR improves surgical precision by offering real-time data overlays during procedures, leading to better outcomes in operations like dental implant placements.
View Article and Find Full Text PDFMov Disord
January 2025
Department of Neurology, Tel Aviv Sourasky Medical Center, Tel Aviv, Israel.
Background: Wider step width and lower step-to-step variability are linked to improved gait stability and reduced fall risk. It is unclear if patients with spinocerebellar ataxia (SCA) can learn to adjust these aspects of gait to reduce fall risk.
Objectives: The aims were to examine the possibility of using wearable step width haptic biofeedback to enhance gait stability and reduce fall risk in individuals with SCA.
Comput Methods Programs Biomed
January 2025
Department of Electronics and Communication Engineering, Bharati Vidyapeeth's College of Engineering, New Delhi, India.
Background: Anxiety is a psycho-physiological condition associated with an individual's mental state. Long-term anxiety persistence can lead to anxiety disorder, which is the underlying cause of many mental health problems. As such, it is critical to precisely identify anxiety by automated, effective, and user-bias-free ways.
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