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

Lars Richter*, Ralf Bruder, Achim Schweikard

*Korrespondierende/r Autor/-in für diese Arbeit

Abstract

Purpose In Transcranial Magnetic Stimulation (TMS), the principle of magnetic induction is used to stimulate the brain non-invasively. Currently, robotic TMS systems are developed to guarantee precise coil placement on the head and in this way achieve the repeatability of stimulation results. However, usability concerns such as the complicated coil positioning are still unsolved for motion compensated robotized TMS. In this paper, we demonstrate the integration of a force-torque control into a robotic TMS system to improve usability, safety, and precision. Methods We integrated a force-torque sensor between robot effector and TMS coil. Coil calibration and gravity compensation have been developed. Based on them, we have implemented hand-assisted positioning for easy and fast coil placement. Furthermore, we have enhanced the existing motion compensation algorithms with a contact pressure control. Results The positioning time for an experienced user decreased up to 40%with the help of hand-assisted positioning in comparison with not hand-assisted robotized positioning. It also enabled an inexperienced user to use the system safely. Conclusion Integration of a force-torque control into the motion compensated robotizedTMSsystem greatly enhances system's usability, which is a prerequisite for integration in the clinical workflow and clinical acceptance.

OriginalspracheEnglisch
ZeitschriftInternational Journal of Computer Assisted Radiology and Surgery
Jahrgang7
Ausgabenummer6
Seiten (von - bis)845-852
Seitenumfang8
ISSN1861-6410
DOIs
PublikationsstatusVeröffentlicht - 01.01.2012

Fördermittel

Acknowledgments Lars Richter was financially supported by the Graduate School for Computing in Medicine and Life Sciences funded by Germany’s Excellence Initiative [DFG GSC 235/1]. Ralf Bruder was financially supported by the European Union and the State of Schle-swig-Holstein (Centre of Excellence for Technology and Engineering in Medicine (TANDEM): grant no. 122-09-024).

UN SDGs

Dieser Output leistet einen Beitrag zu folgendem(n) Ziel(en) für nachhaltige Entwicklung

  1. SDG 3 – Gesundheit und Wohlergehen
    SDG 3 – Gesundheit und Wohlergehen
  2. SDG 9 – Industrie, Innovation und Infrastruktur
    SDG 9 – Industrie, Innovation und Infrastruktur

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