
12/08/2021
Estimating the of impairment in ’s disease using a -based methodology.
Check out our first paper published at Sensors MDPI
https://www.mdpi.com/1424-8220/21/16/5437
Machine Medicine is a technical consultancy firm specialising in modern medicine and computer scienc
Unit 1.1.1, 11/13 Weston Street
London
SE1 3ER
Monday | 10am - 6pm |
Tuesday | 10am - 6pm |
Wednesday | 10am - 6pm |
Thursday | 10am - 6pm |
Friday | 10am - 6pm |
Be the first to know and let us send you an email when Machine Medicine posts news and promotions. Your email address will not be used for any other purpose, and you can unsubscribe at any time.
Send a message to Machine Medicine:
We are a small team based in London, that develops a platform to help assess people with Parkinson’s disease better.
Motor assessment in Parkinson’s disease is plagued by issues of subjectivity and reproducibility – not to mention systematic biases such as rater drift. To counter this, we are developing a platform, called Kelvin, that can be used from any device (e.g. smartphones or tablets). Named after the famous physicist so beloved of precise measurement, the platform allows researchers to record, score, store and analyse video of Parkinson’s patients during motor assessment.
Once captured and organised, the platform uses a cutting-edge computer vision technique, called pose estimation, to objectively track the movement of the patients down to the fingertip level and deliver objective metrics of core symptoms, such as tremor and bradykinesia.