Smart sensors could help Parkinson's patients spend less time 'Off'
NCT ID NCT07074119
First seen Jan 07, 2026 · Last updated Jun 20, 2026 · Updated 27 times
Summary
This study tests whether wearable body sensors can help doctors better adjust medication for people with Parkinson's disease who experience motor fluctuations. 218 participants will wear the sensors for 7 days before each visit, and only the experimental group's data will guide treatment changes. The goal is to reduce the daily time spent in the 'OFF' state (when symptoms return) over 6 months.
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Summaries may miss details or leave out important information. Before applying or accepting participation, make sure you have read and understood the full study. Curemydisease.com takes no responsibility whatsoever for anything missed, misunderstood, or acted upon as a result of our summary — we know it does not capture everything.
This is a summary of the original study . Summaries may miss details or leave out important information. Before applying or accepting participation, make sure you have read and understood the full study. Curemydisease.com takes no responsibility whatsoever for anything missed, misunderstood, or acted upon as a result of our summary — we know it does not capture everything.
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Contacts and locations
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Study contacts
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Contact
Phone: •••-•••-•••• Email: •••••@•••••
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Contact
Phone: •••-•••-•••• Email: •••••@•••••
Locations
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Centre d'investigations cliniques Pitié-Salpêtrière University Hospital
Paris, Île-de-France Region, 75013, France
Contact Phone: •••-•••-•••• Email: •••••@•••••
Contact Phone: •••-•••-•••• Email: •••••@•••••
What this could mean
Our plain-language read of the trial. This is informational only — not medical advice or a prediction.
Active substance
wearable body-worn sensors (BWS) for monitoring motor symptoms
What this could lead to
If successful, this could provide a new, data-driven way for doctors to fine-tune Parkinson's medication remotely, reducing time spent with poor symptom control.
What could go wrong
This is an early-stage study with no prior randomized evidence for this approach. The sensors may not capture real-life conditions accurately, and results may not lead to widespread use.
Conditions
The condition(s) this trial relates to.
As listed by the trial registrant
The condition terms exactly as the trial's registrant entered them.