Fingerprint
Dive into the research topics of 'Automated Real-World Video Analysis of Sit-to-Stand Transitions Predicts Parkinson’s Disease Severity'. Together they form a unique fingerprint.- Sort by
- Weight
- Alphabetically
Automated Real-World Video Analysis of Sit-to-Stand Transitions Predicts Parkinson’s Disease Severity
Catherine A M Morgan*, Alessandro Masullo, Majid Mirmehdi, Hanna Kristiina K Isotalus, Ferdian Jovan, Ryan McConville, Emma L. Tonkin, Alan L Whone, Ian J Craddock
*Corresponding author for this work
- Bristol Medical School
- Bristol Doctoral College
- Bristol Medical School (THS)
- School of Engineering Mathematics and Technology
- School of Computer Science
- Visual Information Laboratory
- Bristol Vision Institute
- ReMemBr Group
- Department of Computer Science
- Multiple Sclerosis and Stem Cell Group
- Functional Neurosurgery
- Bristol Neuroscience
- Elizabeth Blackwell Institute for Health Research
- Cabot Institute for the Environment
- Communication Systems and Networks
Research output: Contribution to journal › Article (Academic Journal) › peer-review
1
Citation
(Scopus)