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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
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Posts
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Blog Post number 1
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projects
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publications
Time series clustering to examine presence of decrement in Parkinson’s finger-tapping bradykinesia
Published in 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 2020
Our work visually presents the archetypal types of bradykinesia amplitude decrement, as seen in the Parkinson’s finger-tapping test. We found two main patterns, one corresponding to no bradykinesia, and the other showing linear decrement over time
Recommended citation: Zhao Z, Fang H, Williams S, Relton SD, Alty JE., Wong DC. "Time series clustering to examine presence of decrement in Parkinson’s finger-tapping bradykinesia" 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC). https://eprints.utas.edu.au/35260/1/Clustring%20decrement%20FT%20conf%20paper%20Zhibin%20Zhao%20EMBC2020_final.pdf
The discerning eye of computer vision: Can it measure Parkinson’s finger tap bradykinesia?
Published in Journal of the Neurological Sciences, 2020
New computer vision software, DeepLabCut, can quantify three measures related to Parkinson’s bradykinesia from smartphone videos of finger tapping. Objective ‘contactless’ measures of standard clinical examinations were not previously possible with wearable sensors (accelerometers, gyroscopes, infrared markers). DeepLabCut requires only conventional video recording of clinical examination and is entirely ‘contactless’. This next generation technology holds potential for Parkinson’s and other neurological disorders with altered movements.
Recommended citation: Willams S, Zhao Z, Hafeez A, Wong DC, Relton SD, Fang H, Alty JE. "The discerning eye of computer vision: Can it measure Parkinson’s finger tap bradykinesia?." Journal of the Neurological Sciences. https://www.research.manchester.ac.uk/portal/files/170983862/JNS_D_20_00378_R2_2_1_.pdf
The discerning eye of computer vision: Can it measure Parkinson’s finger tap bradykinesia?
Published in Journal of the Clinical Neuroscience, 2020
Eulerian video magnification reveals apparent subclinical tremor in Parkinson’s.
Recommended citation: Willams S, Fang H, Relton SD, Graham CD, Alty JE. "Seeing the unseen: Could Eulerian video magnification aid clinician detection of subclinical Parkinson’s tremor?" Journal of the clinical neuroscience. https://www.jocn-journal.com/article/S0967-5868(20)31525-3/fulltext
Supervised classification of bradykinesia for Parkinson’s disease from smartphone video
Published in AI in Medicine, 2020
The method described here presents an approach for predicting bradykinesia from videos of fingertapping tests. The method is robust to lighting conditions and camera positioning. On a set of pilot data, accuracy of bradykinesia prediction is comparable to that recorded by blinded human experts
Recommended citation: Willams S, Relton SD, Fang H, Alty JE, Qahwaji R, Graham CD, Wong DC. "Supervised classification of bradykinesia for Parkinson’s disease from smartphone video." AI in Medicine. https://personalpages.manchester.ac.uk/staff/david.wong/assets/Papers/2019Williams.pdf
Accuracy of smartphone video for contactless measurement of hand tremor frequency
Published in Movement Disorders Clinical Practice, 2020
The study suggests a potential new, contactless ‘point and press’ measure of tremor frequency within standard clinical settings or telemedicine
Recommended citation: Willams S, Fang H, Relton SD, Wong DC, Alam T, Alty JE. (2020). "Accuracy of smartphone video for contactless measurement of hand tremor frequency." Movement Disorders Clinical Practice. https://onlinelibrary.wiley.com/doi/pdf/10.1002/mdc3.13119
talks
Time series clustering to examine presence of decrement in Parkinson’s finger-tapping bradykinesia
Published:
https://www.youtube.com/watch?v=wjWRGhFnfV4
teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
This is a description of a teaching experience. You can use markdown like any other post.
Teaching experience 2
Workshop, University 1, Department, 2015
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