Parkinson’s disease monitoring app promising for advanced clinical decisions

[grow_thumb image=”” thumb_width=”150″ /]A study in the July Journal of Parkinson’s Disease presents a small (N=40) study on the use of wearable sensor data and the KinesiaOne mobile app to assist in clinical decisions around advanced therapy referral for Parkinson’s disease patients. The KinesiaOne sensor is worn on the fingertip and tracks motor response on the mobile app (left). The patients were followed for one year, with half receiving standard care and half using motion sensor-based remote monitoring once per month in conjunction with standard care. Remote monitoring led to five times more advanced therapy patient referrals, compared to standard care alone (63.6 percent versus 11.8 percent, p <  0.01). These therapies are highly considered due to their nature–deep brain stimulation (DBS) or an implantable medication pump–and this initial screening may lead to more advanced algorithms and/or continuous monitoring, which the KinesiaOne developer, Great Lakes NeuroTechnologies, also has. Release, JPD abstract, Mobihealthnews Also see our short article on Ireland’s Beats Medical.

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