RecruitingNot ApplicableNCT06975059

Novel Shoe Device NUSHU to Measure Gait Analysis in Parkinson's Patients

Using the NUSHU Shoe to Analyze Gait Balance and Vibrotactile Feedback in Early, Moderate and Advanced PD Patients and Healthy Controls


Sponsor

Weill Medical College of Cornell University

Enrollment

40 participants

Start Date

May 30, 2025

Study Type

INTERVENTIONAL

Conditions

Summary

Gait changes in Parkinson's disease are complex, variable, and difficult to detect during short clinic assessments. The aim of this study is to collect gait measurements in Parkinson's patients through sensors in a novel shoe device, NUSHU by Magnes AG. The shoe additionally provides vibrational feedback that can potentially help gait difficulties experienced by Parkinson's patients.


Eligibility

Min Age: 18 Years

Plain Language Summary

Simplified for easier understanding

This study is testing a new smart shoe device called NUSHU that uses sensors to measure how people walk, to see if it can accurately track gait changes in people with Parkinson's disease — which could help doctors monitor the condition and adjust treatment. **You may be eligible if...** - You are 18 or older with a confirmed diagnosis of Parkinson's disease - You can give written informed consent - You can communicate in English and follow study instructions **You may NOT be eligible if...** - You have been diagnosed with a condition other than Parkinson's that explains your movement symptoms (e.g., essential tremor, drug-induced parkinsonism, multiple system atrophy) - You have another serious neurological condition such as stroke, multiple sclerosis, or epilepsy - You have other conditions that significantly affect the way you walk Talk to your doctor to see if this trial is right for you.

This summary was AI-generated to explain the trial in plain language. It is not medical advice. Always discuss eligibility with your doctor before enrolling in a clinical trial.

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Interventions

DEVICENUSHU shoe

The NUSHU shoe, created by Magnes AG, can measure real-time detection of gait analysis while providing vibrotactile stimulus to the study participant through machine learning sensors. This may provide a feedback mechanism that acts as therapy for gait difficulties.


Locations(1)

Weill Cornell

New York, New York, United States

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NCT06975059


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