Current Directions in Biomedical Engineering | Vol.4, Issue.1 | | Pages
Enhancing haptic feedback of subsurfaces during needle insertion
Haptic feedback can be helpful for accurate needle insertion but is complicated by friction on the needle shaft. Concepts to directly measure the forces at the needle tip exist but cause additional cost and complexity. Moreover, haptic devices may show inaccuracies in recreating forces. We present a novel force feedback method that uses needle shaft forces and enhances haptic feedback of subsurfaces based on robotic ultrasound elastography. This approach allows to overcome accuracy limitations of haptic devices. We evaluate our method in a volunteer subject study using recordings from a robotic needle driver setup. We compare haptic feedback based on shaft and enhanced force for the detection of surfaces inside of gelatin phantoms. Using our method, the error of subsurface detection decreased from more than 16 to about 1.7 mm for the first subsurface. A second subsurface was solely detectable using our method with an error of only 1.4 mm. Insertion time decreased by more than 32%. The results indicate that our enhanced sensor is suitable to detect subsurfaces for untrained subjects using a haptic feedback device of limited accuracy.
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Enhancing haptic feedback of subsurfaces during needle insertion
Haptic feedback can be helpful for accurate needle insertion but is complicated by friction on the needle shaft. Concepts to directly measure the forces at the needle tip exist but cause additional cost and complexity. Moreover, haptic devices may show inaccuracies in recreating forces. We present a novel force feedback method that uses needle shaft forces and enhances haptic feedback of subsurfaces based on robotic ultrasound elastography. This approach allows to overcome accuracy limitations of haptic devices. We evaluate our method in a volunteer subject study using recordings from a robotic needle driver setup. We compare haptic feedback based on shaft and enhanced force for the detection of surfaces inside of gelatin phantoms. Using our method, the error of subsurface detection decreased from more than 16 to about 1.7 mm for the first subsurface. A second subsurface was solely detectable using our method with an error of only 1.4 mm. Insertion time decreased by more than 32%. The results indicate that our enhanced sensor is suitable to detect subsurfaces for untrained subjects using a haptic feedback device of limited accuracy.
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limited accuracy haptic feedback of subsurfaces force feedback method enhanced sensor needle shaft forces robotic ultrasound shaft and enhanced force subsurface detection time accurate needle insertion recordings friction approach detection of surfaces inside of gelatin volunteer subject
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Antoni Sven-Thomas,Soltau Stefan,Beringhoff Jens,Rajput Omer,Otte Christoph,Schlaefer Alexander,.Enhancing haptic feedback of subsurfaces during needle insertion. 4 (1),.
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