2 min readScreening Tech Advances Early Detection of Parkinson’s Disease
Melbourne, Australia — Screening technology to catch Parkinson’s disease in its earliest stages could be available within three years, following an agreement between RMIT University and start-up company Jesse Medical.
The pioneering technology analyses the results of specialised drawing and writing tasks to differentiate between people with and without the condition.
More than 10 million people worldwide are estimated to be living with Parkinson’s disease.
Many treatment options for Parkinson’s are only effective when the condition is caught early but by the time patients show any commonly recognisable symptoms, many nerve cells in the brain have already suffered irreversible damage.
The new tool can spot the disease when there are no obvious symptoms and can also be used to monitor Parkinson’s patients after diagnosis, to better manage their condition.
A research agreement with Jesse Medical gives the Australian start-up exclusive rights to commercialize the RMIT-developed technology and will enable further patient trials.
Professor Dinesh Kumar said giving doctors and nurses the tools to screen for Parkinson’s would enable patients to receive treatment far earlier than ever before.
“Early detection is critical because we know that by the time someone starts to experience tremors or rigidity, it may already be too late for medication to be effective,” Kumar said.
“It’s long been known that Parkinson’s Disease affects muscle control and habitual activities, so it affects how patients write and draw.
“Our technology translates that insight into a reliable assessment tool.
“The agreement with Jesse Medical is an exciting step in bringing this much-needed technology into the hands of clinicians, to benefit the many people around the world affected by this condition.”
Focus on dexterity: how the screening tech works
The screening test involves the completion of seven dexterity tasks on a drawing tablet, including simple writing, writing with memory load and drawing a spiral by joining dots.
The test is able to create a patient-specific baseline for the different aspects of complex Parkinson’s symptoms.
The data are transmitted over the cloud and customised software records the results and analyses them in real time.
The software is readily compatible with existing technologies, so the only equipment needed to run the screening test is a pen, paper and drawing tablet.
Successful trials demonstrating the efficacy of the screening test have been published in the Journal of Biomedical and Health Informatics, Journal of Neurology and Frontiers in Neurology.
The research team has refined an earlier version of the technology, which had an accuracy rate of 93%, to take into account the effects of medication on the disease. This means it can also now be used for monitoring the effectiveness of treatment and the severity of the condition.
The new technology is also able to provide more details to clinicians regarding patient symptoms.
“Parkinson’s is a complex multi-symptom disease, with individual patients exhibiting any number of these symptoms,” Kumar said.
“The standard multi-modal physical tests carried out by clinicians to monitor its progress inherently carry a level of subjectivity.
“Our technology is completely objective and it’s highly sensitive for both improvements and deterioration in dexterity.
“As our population ages, the number of people living with Parkinson’s is expected to increase dramatically, so knowing more precisely how the disease is progressing and understanding the effect of different treatments will be crucial in helping them manage their condition.”
The technology was developed by the RMIT biomedical engineering research team in the School of Engineering, which specialises in e-health and affordable diagnostic technologies.
Article adapted from a RMIT University news release.
Efficacy of Guided Spiral Drawing in the Classification of Parkinson’s Disease. Poonam Zham et al. IEEE (2018): Click here to view.
Effect of levodopa on handwriting tasks of different complexity in Parkinson’s disease: a kinematic study. Poonam Zham et al. Journal of Neurology (2019): Click here to view.
A Kinematic Study of Progressive Micrographia in Parkinson’s Disease. Poonam Zham et al. Front. Neurol. (2019): Click here to view.