NDLI: Needle detection by electro-localization for a needle EMG exam robotic simulator

Content Provider	IEEE Xplore Digital Library
Author	Siyu He Gomez-Tames, J. Wenwei Yu
Copyright Year	2015
Description	Author affiliation: Center for Frontier Med. Eng., Chiba Univ., Chiba, Japan (Wenwei Yu) \|\| Dept. of Med. Syst. Eng., Chiba Univ., Chiba, Japan (Siyu He; Gomez-Tames, J.)
Abstract	Needle EMG (Electromyogram) Exam (NEE) is an important neurological exam, and neurology interns and novice medical need repetitive training to gain the necessary skill to perform the exam. However, until now it has been difficult to reproduce multiple pathological conditions for their training, since in most cases, trainees serve as human subjects for each other. A robotic simulator that could reproduce behavior with various pathological disorders can be of great help for NEE skill training. Needle tip localization is a key component of the robotic simulator, since position-dependent-EMG is the signal source for skilled neurologists to determine the pathological situation. The needle tip localization has been investigated for many medical tests and applications, such as prostate brachytherapy, etc. However, only few studies have been reported on the process of needle operation in muscle based on EMG signals dependent on needle tip position. Our idea is to apply a tissue-like conductive phantom so as to realize both physical sense of insertion, and needle localization for the NEE robotic simulator. A pair of electrodes was designed to generate a near-linear voltage distribution along the depth direction of the tissue-like phantom, by which the inserted needle could be localized. The influence of the shape of phantom and electrodes on detection accuracy were investigated by a set of measurement experiment and a computer simulation. The results showed that, the estimated depth values agreed with that of the computer simulation model, and the curved phantom had a much steeper distribution in the deeper region (better accuracy for needle tip detection).
Starting Page	457
Ending Page	461
File Size	1010377
Page Count	5
File Format	PDF
ISBN	9781479964772
DOI	10.1109/MeMeA.2015.7145247
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-05-07
Publisher Place	Italy
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Phantoms Needles Voltage measurement Electrodes Accuracy Robots Electromyography needle tip localization Needle EMG Exam tissue-like phantom voltage distribution bio-electric simulation model
Content Type	Text
Resource Type	Article

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