In this section

Human-Centred Automation, Robotics and Monitoring

We use perceptual methods, AI, and frugal robotics innovation to deliver transformative diagnostic and treatment solutions.

Head of Group

Dr George Mylonas

B415B Bessemer Building
South Kensington Campus

+44 (0)20 3312 5145

YouTube ⇒ HARMS Lab

What we do

The HARMS lab leverages perceptually enabled methodologies, artificial intelligence, and frugal innovation in robotics (such as soft surgical robots) to deliver transformative solutions for diagnosis and treatment. Our research is driven by both problem-solving and curiosity, aiming to build a comprehensive understanding of the actions, interactions, and reactions occurring in the operating room. We focus on using robotic technologies to facilitate procedures that are not yet widely adopted, particularly in endoluminal surgery, such as advanced treatments for gastrointestinal cancer.

Meet the team

Mr Amirhosein Alian
Research Postgraduate

Dr James P Avery
Honorary Lecturer

Mr Junhong Chen
Research Postgraduate

Mr Kaizhong Deng
Research Postgraduate

Dr George Mylonas BEng, MSc, DIC, PhD
Senior Lecturer in Robotics and Technology in Cancer

Dr Adrian Rubio Solis
Research Associate in Sensing and Machine Learning

Dr Jianlin Yang
Research Associate

Citation

BibTex format

@article{Leff:2015:10.3389/fnhum.2015.00526,
author = {Leff, DR and James, D and Orihuela-Espina, F and Kwok, KW and Sun, L and Mylonas, G and Athanasiou, T and Darzi, A and Yang, GZ},
doi = {10.3389/fnhum.2015.00526},
journal = {Frontiers in Human Neuroscience},
title = {The impact of expert visual guidance on trainee visual search strategy, visual attention and motor skills},
url = {http://dx.doi.org/10.3389/fnhum.2015.00526},
volume = {9},
year = {2015}
}

Download

RIS format (EndNote, RefMan)

TY - JOUR
AB - Minimally invasive and robotic surgery changes the capacity for surgical mentors to guide their trainees with the control customary to open surgery. This neuroergonomic study aims to assess a “Collaborative Gaze Channel” (CGC); which detects trainer gaze-behaviour and displays the point of regard to the trainee. A randomised crossover study was conducted in which twenty subjects performed a simulated robotic surgical task necessitating collaboration either with verbal (control condition) or visual guidance with CGC (study condition). Trainee occipito-parietal (O-P) cortical function was assessed with optical topography (OT) and gaze-behaviour was evaluated using video-oculography. Performance during gaze-assistance was significantly superior [biopsy number: (mean ± SD): control=5·6±1·8 vs. CGC=6·6±2·0; p< 0.05] and was associated with significantly lower O-P cortical activity [HbO2 mMol x cm [median (IQR)] control = 2.5 (12.0) vs. CGC 0.63 (11.2), p < 0.001]. A random effect model confirmed the association between guidance mode and O-P excitation. Network cost and global efficiency and global efficiency were not significantly influenced by guidance mode. A gaze channel enhances performance, modulates visual search, and alleviates the burden in brain centres subserving visual attention and does not induce changes in the trainee's O-P functional network observable with the current OT technique. The results imply that through visual guidance, attentional resources may be liberated, potentially improving the capability trainees to attend to other safety critical events during the procedure.
AU - Leff,DR
AU - James,D
AU - Orihuela-Espina,F
AU - Kwok,KW
AU - Sun,L
AU - Mylonas,G
AU - Athanasiou,T
AU - Darzi,A
AU - Yang,GZ
DO - 10.3389/fnhum.2015.00526
PY - 2015///
SN - 1662-5161
TI - The impact of expert visual guidance on trainee visual search strategy, visual attention and motor skills
T2 - Frontiers in Human Neuroscience
UR - http://dx.doi.org/10.3389/fnhum.2015.00526
UR - http://hdl.handle.net/10044/1/26812
VL - 9
ER -