Realistic and interactive high-resolution 4D environments for real-time surgeon and patient interaction
- Submitting institution
-
University of the West of England, Bristol
- Unit of assessment
- 12 - Engineering
- Output identifier
- 886688
- Type
- D - Journal article
- DOI
-
10.1002/rcs.1761
- Title of journal
- International Journal of Medical Robotics and Computer Assisted Surgery
- Article number
- e1761
- First page
- -
- Volume
- 13
- Issue
- 2
- ISSN
- 1478-5951
- Open access status
- Compliant
- Month of publication
- July
- Year of publication
- 2016
- URL
-
http://dx.doi.org/10.1002/rcs.1761
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
4
- Research group(s)
-
-
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- The methodology described in this paper led to Innovate UK funding for ‘GreenCare - Decarbonising the NHS through digital transformation of outpatient elderly care’, project 6690904, awarded November 2020. The findings detailed also informed an application to Innovate UK for ‘MuscleVision - An innovative combination of 2/3D machine-vision and deep-learning techniques for estimating fat/muscle ratio, for reliable detection of sarcopenia’, and a £1M application to NIHR for ‘AssistAbility - To develop and evaluate the effectiveness of a remote automated frailty monitoring and physiotherapy intervention system, to reduce frailty, falls and injuries and improve quality-of-life in frail older-adults’.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
