62 research outputs found
Ergonomics, user comfort, and performance in standard and robot-assisted laparoscopic surgery
Gripping the difficult gall bladder during laparoscopic cholecystectomy
Journal compilation © 2009 Royal Australasian College of SurgeonsGrasping a tense, inflamed gall bladder during laparoscopic cholecystectomy for acute cholecystitis is often a problem. Although many surgeons have developed techniques to deal with this, the published work lacks information about how to manage this problem. To collate experience about how to deal with this we interviewed 20 experienced Australian surgeons and compiled a repertoire of tactics that might help deal with this clinical situation. Most surgeons indicated that they deflated the gall bladder using a needle and suction as a preliminary step. Most respondents also described the use of a specific type of forceps for the task. Various manoeuvres, such as displacement of the gall bladder with forceps, dislodging an impacted stone to make it easier to grasp, the use of a retraction suture through the gall bladder were described. The various tactics are summarized in the paper. A range of strategies applied by experienced surgeons for the task of gripping a difficult gall bladder has been documented in this paper. The variety of approaches suggests that surgeons should be prepared to flexibly apply different approaches to this task.Michael Patkin and David I. Watso
Face and Emotion Recognition with Neural Networks on Mobile Devices: Practical Implementation on Different Platforms
We propose a novel architecture for face and emotion recognition and discuss modifications for different types of mobile applications. Emotion recognition task is challenging due to the absence of large-scale datasets and non-uniform labelling. We propose easy-to-implement five class classification approach and suggest modifications for large-scale emotion recognition on three different platforms: desktop, mobile and VPU, and compare the resulting speed and performance. We demonstrate that our results can be compared with the performance of state-of-the-art neural networks and can be implemented on mobile and stand-alone devices
Face and emotion recognition with neural networks on mobile devices: Practical implementation on different platforms
We propose a novel architecture for face and emotion recognition and discuss modifications for different types of mobile applications. Emotion recognition task is challenging due to the absence of large-scale datasets and non-uniform labelling. We propose easy-to-implement five class classification approach and suggest modifications for large-scale emotion recognition on three different platforms: desktop, mobile and VPU, and compare the resulting speed and performance. We demonstrate that our results can be compared with the performance of state-of-the-art neural networks and can be implemented on mobile and stand-alone devices
Dissection efficiency during laparoscopic oesophageal dissection
© 2005 Taylor & Francis Group LtdAdvanced techniques in laparoscopic surgery have led to an increased need for appropriate training in instrument handling and dissection. Recent developments in computer video technology have facilitated critical analysis of surgical technique. Video deconstruction of oesophageal hiatal dissection during six laparoscopic fundoplication procedures was undertaken. The procedures were performed by surgeons with a wide range of surgical experience, and the investigators analysing performance were blinded to their level of training. Sequential five-second video segments were analysed in detail by 3 investigators. A taxonomy list was developed to describe individual types of movement. The number and time per movement was assessed and a degree of efficiency was assigned. An efficient movement was defined as one that advances the dissection towards a recognised goal. The total oesophageal dissection time varied from 10 minutes (min) to 25 min (mean 16 min). The mean number of actions performed was 173 (range 120-272). A mean of 7 min was spent separating tissues (range 5-13), with 6 min spent grasping and positioning tissue (range 3-8). The amount of time spent in inefficient movement varied from 3 to 14 min (mean 7 min). The greatest variation between operators was seen in the efficiency of tissue separation when using dissecting instruments. Inexperienced operators spent a lot more time performing additional movements such as scope cleaning, observation and instrument exchange. This technique of video deconstruction can identify key areas for improvement. This could be used for trainee assessment and to provide constructive feedback. Future development in this area could enhance training in advanced laparoscopic techniques.P. C. Leeder, M. Patkin, J. Stoddard and D. I. Watso
Activation of Broca's area during language production by speech and American sign language (ASL) : cytoarchitectonic mapping and PET
Layered Alginate Constructs: A Platform for Co-culture of Heterogeneous Cell Populations
Layered Alginate Constructs: A Platform for Co-culture of Heterogeneous Cell Populations
Many load bearing tissues possess structurally and functionally distinct regions, typically accompanied by different cell phenotypes with differential mechanosensing characteristics. Engineering and analysis of these tissue types remain a challenge. Layered hydrogel constructs provide an opportunity for investigating the interactions among multiple cell populations within single constructs. Alginate hydrogels are both biocompatible and allow for easy isolation of cells after experimentation. Here, we describe a method for the development of small sized dual layered alginate hydrogel discs. This process maintains high cell viability of human mesenchymal stem cells during the formation process and these layered discs can withstand unconfined cyclic compression, commonly used for stimulation of hMSCs undergoing chondrogenesis. These layered constructs can potentially be scaled up to include additional levels, and also be used to segregate cell populations initially after layering. This dual layer alginate hydrogel culture platform can be used for many different applications including engineering and analysis of cells of load bearing tissues and co-cultures of other cell types
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