Weill Medical College of Cornell University
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.
Parkinson's Disease: Inclusion Criteria: 1. Male or female ≥ 18 years of age. 2. A diagnosis of Parkinson's disease 3. Able to give written informed consent (as determined by the investigator) 4. Can converse in English and read and perform all study activities 5. Has willingness and ability to comply with study requirements Exclusion Criteria: 1. Diagnosis of an atypical parkinsonism syndrome, drug-induced parkinsonism, essential tremor, or other diagnoses that explain movement symptoms other than PD 2. A diagnosis of significant CNS disease other than PD such as stroke, multiple sclerosi…
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.
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