Parkinson’s disease affects 10 million people worldwide making it impossible to treat each and every person with a sufficient level of care. It therefore becomes increasingly difficult to accurately prescribe medications and get rapid feedback about how well medications are working. OneRing solves this issue by quantifying Parkinson’s movement symptoms to create an intelligent tool for monitoring the disease.

Here’s how it works:
A Parkinson’s patient wakes up in the morning, wears the ring, and goes about his or her regular day. During the day, OneRing uses powerful machine learning and signal processing algorithms to identify unique Parkinson’s movement patterns of various severities. It detects movements such as Bradykinesia (slowness of movement), Dyskinesia (distortions in movement), and involuntary tremor (rapid shaking of the hands) in order to classify movement severities at every hour of the day. These classification models have been quantified from real Parkinson’s patients’ movement data therefore modeling real life Parkinson’s disease in the most accurate way possible. The hourly classifications are used to generate smart patient reports with time-stamped analytics for each day’s worth of collected data. Before going to sleep, the patient removes the ring and the iOS app will display the generated report with options to view reports from previous days, as well. The daily reports (and more detailed analytics) are additionally sent to the patient’s physician giving them the ability to alter medication dosages/timings to better suit their patients’ needs.

The designed ring connects to the developed iOS app through low-energy Bluetooth technology allowing it to be worn by a Parkinson’s patient for several days before needing charging. Overall, OneRing looks to revolutionize the way Parkinson’s disease is monitored on a global level as it defines an entirely novel method for physicians and patients to interact in hopes of suppressing disease progression.