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• Conference paper
  Elson D, Adshead J, Oldfield F, Hadaschik B, Everaerts W, Mestre A, Newbery M, Grootendorst M, Vyas K, Fumado L, Harke Net al., 2019,

  A tethered laparoscopic gamma probe for radioguided surgery in prostate cancer – usability and technical feasibility evaluation in a pelvic phantom and porcine model (best poster - New Technologies)

  , 34th Annual European Association of Urology Congress
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• Conference paper
  Kassanos P, Seichepine F, Keshavarz M, Yang G-Zet al., 2019,

  Towards a Flexible Wrist-Worn Thermotherapy and Thermoregulation Device

  , 19th Annual IEEE International Conference on Bioinformatics and Bioengineering (BIBE), Publisher: IEEE, Pages: 644-648, ISSN: 2471-7819
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• Conference paper
  Rother R, Sun Y, Lo B, 2019,

  Internet of things based pervasive sensing of psychological anxiety via wearable devices under naturalistic settings

  Psychological anxiety is highly prevalent in dementia patients, and reduces the quality of life of the afflicted and their caregivers. Still, not much technological research has been conducted to address this issue in the field. This study aimed to develop a wearable system which could detect anxiety in dementia patients under naturalistic settings, and alert caregivers via a web application. The wearable system designed included an accelerometer, pulse sensor, skin conductivity sensor, and a camera. The readings would be fed into a machine learning model to output an anxiety state prediction. One participant was trialled under both controlled and naturalistic settings. The model achieved classification accuracy of 0.95 under controlled settings and 0.82 under naturalistic settings. Implications of the study include achieving relatively high classification accuracy under naturalistic settings, and the novel discovery of movement as a potential predictor of anxiety states.

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• Journal article
  Giataganas P, Hughes M, Payne C, Wisanuvej P, Temelkuran B, Yang GZet al., 2019,

  Intraoperative robotic-assisted large-area high-speed microscopic imaging and intervention

  , IEEE Transactions on Biomedical Engineering, Vol: 66, Pages: 208-216, ISSN: 0018-9294

  IEEE Objective: Probe-based confocal endomicroscopy is an emerging high-magnification optical imaging technique that provides in-vivo and in-situ cellular-level imaging for real-time assessment of tissue pathology. Endomicroscopy could potentially be used for intraoperative surgical guidance, but it is challenging to assess a surgical site using individual microscopic images due to the limited field-of-view and difficulties associated with manually manipulating the probe. Methods: In this paper, a novel robotic device for large-area endomicroscopy imaging is proposed, demonstrating a rapid, but highly accurate, scanning mechanism with image-based motion control which is able to generate histology-like endomicroscopy mosaics. The device also includes, for the first time in robotic-assisted endomicroscopy, the capability to ablate tissue without the need for an additional tool. Results: The device achieves pre-programmed trajectories with positioning accuracy of less than 30um, the image-based approach demonstrated that it can suppress random motion disturbances up to 1.25mm/s. Mosaics are presented from a range of ex-vivo human and animal tissues, over areas of more than 3mm<formula><tex>$^2$</tex></formula>, scanned in approximate 10s. Conclusion: This work demonstrates the potential of the proposed instrument to generate large-area, high-resolution microscopic images for intraoperative tissue identification and margin assessment. Significance: This approach presents an important alternative to current histology techniques, significantly reducing the tissue assessment time, while simultaneously providing the capability to mark and ablate suspicious areas intraoperatively.

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• Conference paper
  Kassanos P, Anastasova S, Yang G-Z, 2018,

  Towards Low-Cost Cell Culturing Platforms with Integrated Sensing Capabilities

  , IEEE Biomedical Circuits and Systems Conference (BioCAS) - Advanced Systems for Enhancing Human Health, Publisher: IEEE, Pages: 327-330, ISSN: 2163-4025
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