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
Weill Medical College of Cornell University
40 participants
May 30, 2025
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
Inclusion Criteria8
- Parkinson's Disease:
- Male or female ≥ 18 years of age.
- A diagnosis of Parkinson's disease
- Able to give written informed consent (as determined by the investigator)
- Can converse in English and read and perform all study activities
- Has willingness and ability to comply with study requirements
- Male or female ≥ 18 years of age.
- No neurological disease or other significant gait impairment as deemed by the study investigator
Exclusion Criteria10
- Diagnosis of an atypical parkinsonism syndrome, drug-induced parkinsonism, essential tremor, or other diagnoses that explain movement symptoms other than PD
- A diagnosis of significant CNS disease other than PD such as stroke, multiple sclerosis, epilepsy
- Persons with disorders other than PD significantly affecting gait as determined by the investigator
- History of MRI brain scan indicative of clinically significant abnormality as determined by the investigator
- Inability to wear interventional device
- Unable to ambulate independently at least with assistive walking device but without additional person assistance
- Pregnant or planning pregnancy within study timeframe
- Montreal Cognitive Assessment (MoCA) score \< 22 at screening
- Resides in a nursing home or assisted care facility
- Healthy Controls:
Interventions
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)
View Full Details on ClinicalTrials.gov
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NCT06975059