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An adaptive localization technique for wireless capsule endoscopy

Hamed Farhadi (Institutionen för signaler och system, Reglerteknik) ; Javid Atai ; Mikael Skoglund ; Esmaeil S. Nadimi ; Kaveh Pahlavan ; Vahid Tarokh
International Symposium on Medical Information and Communication Technology, ISMICT (2326828X). Vol. 2016-June (2016),
[Konferensbidrag, refereegranskat]

Wireless capsule endoscopy (WCE) is an emerging technique to enhance Gastroenterologists information about the patient's gastrointestinal (G.I.) tract. Localization of capsule inside human body in this case is an active area of research. This can be thought of as a sub-domain of micro and bio-robotics fields. If capsule and micro-robot localization problem in human body is solved, then it may potentially lead to less invasive treatments for G.I. diseases and other micro-robot assisted medical procedures. Several approaches have been investigated by the researchers to estimate capsule location. The proposed solutions are mainly static and thus prone to the changes in the propagation medium. We propose an adaptive algorithm based on expectation maximization technique for capsule localization. The proposed algorithm adaptively updates the estimated location based on the received radio frequency (RF) signal measurements.

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Denna post skapades 2016-12-19. Senast ändrad 2017-02-08.
CPL Pubid: 246281


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Institutioner (Chalmers)

Institutionen för signaler och system, Reglerteknik (2005-2017)


Informations- och kommunikationsteknik
Robotteknik och automation
Annan elektroteknik och elektronik

Chalmers infrastruktur