Literature DB >> 23001337

Design, implementation and evaluation of an independent real-time safety layer for medical robotic systems using a force-torque-acceleration (FTA) sensor.

Lars Richter1, Ralf Bruder.   

Abstract

PURPOSE: Most medical robotic systems require direct interaction or contact with the robot. Force-Torque (FT) sensors can easily be mounted to the robot to control the contact pressure. However, evaluation is often done in software, which leads to latencies.
METHODS: To overcome that, we developed an independent safety system, named FTA sensor, which is based on an FT sensor and an accelerometer. An embedded system (ES) runs a real-time monitoring system for continuously checking of the readings. In case of a collision or error, it instantaneously stops the robot via the robot's external emergency stop.
RESULTS: We found that the ES implementing the FTA sensor has a maximum latency of [Formula: see text] ms to trigger the robot's emergency stop. For the standard settings in the application of robotized transcranial magnetic stimulation, the robot will stop after at most 4 mm.
CONCLUSION: Therefore, it works as an independent safety layer preventing patient and/or operator from serious harm.

Entities:  

Mesh:

Year:  2012        PMID: 23001337     DOI: 10.1007/s11548-012-0791-5

Source DB:  PubMed          Journal:  Int J Comput Assist Radiol Surg        ISSN: 1861-6410            Impact factor:   2.924


  10 in total

1.  The application accuracy of the NeuroMate robot--A quantitative comparison with frameless and frame-based surgical localization systems.

Authors:  Qing Hang Li; Lucía Zamorano; Abhilash Pandya; Ramiro Perez; Jianxing Gong; Fernando Diaz
Journal:  Comput Aided Surg       Date:  2002

Review 2.  Robotic surgery: a current perspective.

Authors:  Anthony R Lanfranco; Andres E Castellanos; Jaydev P Desai; William C Meyers
Journal:  Ann Surg       Date:  2004-01       Impact factor: 12.969

3.  Evaluation of an image-guided, robotically positioned transcranial magnetic stimulation system.

Authors:  Jack L Lancaster; Shalini Narayana; Dennis Wenzel; James Luckemeyer; John Roby; Peter Fox
Journal:  Hum Brain Mapp       Date:  2004-08       Impact factor: 5.038

4.  Design and evaluation of a robotic system for transcranial magnetic stimulation.

Authors:  Lucile Zorn; Pierre Renaud; Bernard Bayle; Laurent Goffin; Cyrille Lebossé; Michel de Mathelin; Jack Foucher
Journal:  IEEE Trans Biomed Eng       Date:  2011-12-15       Impact factor: 4.538

5.  Hand-assisted positioning and contact pressure control for motion compensated robotized transcranial magnetic stimulation.

Authors:  Lars Richter; Ralf Bruder; Achim Schweikard
Journal:  Int J Comput Assist Radiol Surg       Date:  2012-03-16       Impact factor: 2.924

6.  Planning and analyzing robotized TMS using virtual reality.

Authors:  Lars Matthäus; Alf Giese; Daniel Wertheimer; Achim Schweikard
Journal:  Stud Health Technol Inform       Date:  2006

7.  Computer- and robot-assisted resection of thalamic astrocytomas in children.

Authors:  J M Drake; M Joy; A Goldenberg; D Kreindler
Journal:  Neurosurgery       Date:  1991-07       Impact factor: 4.654

8.  The Cyberknife: a frameless robotic system for radiosurgery.

Authors:  J R Adler; S D Chang; M J Murphy; J Doty; P Geis; S L Hancock
Journal:  Stereotact Funct Neurosurg       Date:  1997       Impact factor: 1.875

9.  Computer-driven robot for stereotactic surgery connected to CT scan and magnetic resonance imaging. Technological design and preliminary results.

Authors:  A L Benabid; P Cinquin; S Lavalle; J F Le Bas; J Demongeot; J de Rougemont
Journal:  Appl Neurophysiol       Date:  1987

10.  A robot with improved absolute positioning accuracy for CT guided stereotactic brain surgery.

Authors:  Y S Kwoh; J Hou; E A Jonckheere; S Hayati
Journal:  IEEE Trans Biomed Eng       Date:  1988-02       Impact factor: 4.538

  10 in total

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