Transcranial Magnetic Stimulation (TMS) is a non-invasive method for brain stimulation, commonly employed in depression treatment and pre-operative planning. With an average session duration of 30 minutes, the manual handling and positioning of the TMS coil during the treatment may become strenuous for the operator. Robotized TMS systems can help automate the overall process. Our study introduces the TMS Robotic Assistant (TMS-RA) as an end-to-end system integrated with a commercial navigated TMS. TMS-RA utilizes online calibration, eliminating additional calibration steps needed before each TMS session. Furthermore, it can be adapted for use with mobile-based nTMS systems commonly found in clinics. We have implemented an error-compensation scheme to mitigate positioning errors, effectively constraining both position and orientation errors to final mean values of 1.18 mm and $0.57°}$. Comparing our system with a highly experienced medical expert, it is more precise and has significantly lower orientation errors, with a $3°}$ difference, while the position errors were slightly worse but remained comparable.

Xygonakis, I., Seganfreddo, R., Hamad, M., Schneider, S., Schröder, A., Krieg, S.M., et al. (2024). Transcranial Magnetic Stimulation Robotic Assistant: towards a fully automated stimulation session. 345 E 47TH ST, NEW YORK, NY 10017 USA : IEEE Computer Society [10.1109/biorob60516.2024.10719901].

Transcranial Magnetic Stimulation Robotic Assistant: towards a fully automated stimulation session

Seganfreddo, Riccardo;Chiari, Lorenzo;Zavaglia, Melissa;
2024

Abstract

Transcranial Magnetic Stimulation (TMS) is a non-invasive method for brain stimulation, commonly employed in depression treatment and pre-operative planning. With an average session duration of 30 minutes, the manual handling and positioning of the TMS coil during the treatment may become strenuous for the operator. Robotized TMS systems can help automate the overall process. Our study introduces the TMS Robotic Assistant (TMS-RA) as an end-to-end system integrated with a commercial navigated TMS. TMS-RA utilizes online calibration, eliminating additional calibration steps needed before each TMS session. Furthermore, it can be adapted for use with mobile-based nTMS systems commonly found in clinics. We have implemented an error-compensation scheme to mitigate positioning errors, effectively constraining both position and orientation errors to final mean values of 1.18 mm and $0.57°}$. Comparing our system with a highly experienced medical expert, it is more precise and has significantly lower orientation errors, with a $3°}$ difference, while the position errors were slightly worse but remained comparable.
2024
Proceedings of the IEEE RAS and EMBS International Conference on Biomedical Robotics and Biomechatronics
1401
1408
Xygonakis, I., Seganfreddo, R., Hamad, M., Schneider, S., Schröder, A., Krieg, S.M., et al. (2024). Transcranial Magnetic Stimulation Robotic Assistant: towards a fully automated stimulation session. 345 E 47TH ST, NEW YORK, NY 10017 USA : IEEE Computer Society [10.1109/biorob60516.2024.10719901].
Xygonakis, Ioannis; Seganfreddo, Riccardo; Hamad, Mazin; Schneider, Samuel; Schröder, Axel; Krieg, Sandro M.; Meyer, Bernhard; Chiari, Lorenzo; Zavagl...espandi
File in questo prodotto:
Eventuali allegati, non sono esposti

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/1011194
 Attenzione

Attenzione! I dati visualizzati non sono stati sottoposti a validazione da parte dell'ateneo

Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 2
  • ???jsp.display-item.citation.isi??? 1
social impact