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.
B2G, B2B
1 to 25
Seed
$653,680
Scaling Up
2017
Medical Devices
Managed Health Care
Health Care Facilities & Hospitals
Scalable
Reliable
Increase Efficiency
Analytics
IT and Security
Service
Yes
Active
Machine Learning
Machine Perception
Natural Language Processing
N/A
Software
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