adapted-resistance-training-improves-strength-eight-weeks-individuals

Adapted Resistance Training Improves Strength in Eight Weeks in Individuals with Multiple Sclerosis

Hip weakness is a common symptom affecting walking ability in people with multiple sclerosis (MS). It is known that resistance strength training (RST) can ...

Kennedy Krieger Institute

Robot-assisted minimally invasive surgery has many advantages compared to conventional open surgery and also certain drawbacks: it causes less operative trauma and faster recovery times but does not allow for direct tumour palpation as is the case in open surgery. This article reviews state-of-the-art intra-operative tumour localisation methods used in robot-assisted minimally invasive surgery and in particular methods that employ force-based sensing, tactile-based sensing, and medical imaging techniques. The limitations and challenges of these methods are discussed and future research directions are proposed.

Intra-operative tumour localisation in robot-assisted minimally invasive surgery: A review.

This paper explores methods that make use of visual cues aimed at generating actual haptic sensation to the user, namely pseudo-haptics. We propose a new pseudo-haptic feedback-based method capable of conveying 3D haptic information and combining visual haptics with force feedback to enhance the user's haptic experience. We focused on an application related to tumor identification during palpation and evaluated the proposed method in an experimental study where users interacted with a haptic device and graphical interface while exploring a virtual model of soft tissue, which represented stiffness distribution of a silicone phantom tissue with embedded hard inclusions. The performance of hard inclusion detection using force feedback only, pseudo-haptic feedback only, and the combination of the two feedbacks was compared with the direct hand touch. The combination method and direct hand touch had no significant difference in the detection results. Compared with the force feedback alone, our method increased the sensitivity by 5 %, the positive predictive value by 4 %, and decreased detection time by 48.7 %. The proposed methodology has great potential for robot-assisted minimally invasive surgery and in all applications where remote haptic feedback is needed.

Using visual cues to enhance haptic feedback for palpation on virtual model of soft tissue.

To examine the concurrent validity of the Six-Spot Step Test (SSST) with clinical measures of walking and spatiotemporal measures of gait in multiple sclerosis (MS), and to understand the utility of the SSST in individuals with both low and high levels of disability.

Article	Year
Intra-operative tumour localisation in robot-assisted minimally invasive surgery: A review. Proceedings of the Institution of Mechanical Engineers. Part H, Journal of engineering in medicine\| PubMed ID: 24807165	2014
Using visual cues to enhance haptic feedback for palpation on virtual model of soft tissue. Medical & biological engineering & computing\| PubMed ID: 26018755	2015
Utility of the Six-Spot Step Test as a Measure of Walking Performance in Ambulatory Individuals With Multiple Sclerosis. Archives of physical medicine and rehabilitation\| PubMed ID: 26577146	2015

Allen Jiang

Biography

JoVE Journal Publications

Other Publications