What is it about?
The major motor symptoms of Parkinson’s disease (PD) are bradykinesia (slowness of movement), rigidity (stiffness of limbs), and tremor (rhythmic shaking of extremities). Measuring the presence and degree of these symptoms in each patient requires an in-person clinical assessment by a trained neurologist. The increased burden of an in-person assessment has led to a growing interest in the capabilities of wearables, such as a smart watch, or other devices or apps that could track symptom severity outside of the clinic. We tested whether a simple 30-second repetitive alternating finger tapping task on an engineered keyboard could provide validated metrics of each of the major motor symptoms of Parkinson’s disease in a large cohort of PD patients and healthy control participants. We found that this simple task could provide quantitative metrics for all three of the major motor symptoms of Parkinson’s disease. This allowed the ability to distinguish patients with Parkinson’s disease from healthy controls, different subtypes within Parkinson’s disease, and to track symptoms over time as the disease progressed.
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Why is it important?
Currently there are no wearable devices that can measure all the major symptoms of Parkinson’s disease remotely. Such a device could significantly reduce the cost of in-patient assessments, dramatically increase access to care, and better inform treatment options for patients. Here, we present how a simple 30-second repetitive alternating finger tapping task on an engineered keyboard could provide metrics related to each of the major motor symptoms of Parkinson’s disease. Such a device could theoretically be used either in the clinic or at-home to provide high resolution quantification of behavior to allow more complete patient care.
Read the Original
This page is a summary of: Quantitative Digitography Measures Motor Symptoms and Disease Progression in Parkinson’s Disease, Journal of Parkinson s Disease, September 2022, IOS Press,
DOI: 10.3233/jpd-223264.
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