Multi-Modal Haptic Feedback for Grip Force Reduction in Robotic Surgery
| Autor: | Erik Dutson, Jake Pensa, James W. Bisley, Yen-Yi Juo, Ji Ma, Ahmad Abiri, Anna Tao, Syed J. Askari, Warren S. Grundfest, Jacob Rosen |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2019 |
| Předmět: |
0301 basic medicine
Computer science medicine.medical_treatment lcsh:Medicine Article 03 medical and health sciences 0302 clinical medicine Robotic Surgical Procedures Feedback Sensory medicine Humans Minimally Invasive Surgical Procedures Robotic surgery lcsh:Science Simulation Reduction (orthopedic surgery) Haptic technology Mechanical Phenomena Multidisciplinary Modality (human–computer interaction) Hand Strength lcsh:R Kinesthetic learning Equipment Design Robotics Plastic Surgery Procedures Hand 030104 developmental biology Modal Touch Perception Touch lcsh:Q Grip force 030217 neurology & neurosurgery |
| Zdroj: | Scientific Reports Scientific Reports, Vol 9, Iss 1, Pp 1-10 (2019) |
| ISSN: | 2045-2322 |
| Popis: | Minimally invasive robotic surgery allows for many advantages over traditional surgical procedures, but the loss of force feedback combined with a potential for strong grasping forces can result in excessive tissue damage. Single modality haptic feedback systems have been designed and tested in an attempt to diminish grasping forces, but the results still fall short of natural performance. A multi-modal pneumatic feedback system was designed to allow for tactile, kinesthetic, and vibrotactile feedback, with the aims of more closely imitating natural touch and further improving the effectiveness of HFS in robotic surgical applications and tasks such as tissue grasping and manipulation. Testing of the multi-modal system yielded very promising results with an average force reduction of nearly 50% between the no feedback and hybrid (tactile and kinesthetic) trials (p |
| Databáze: | OpenAIRE |
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