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Medicine and Health Sciences Commons

Open Access. Powered by Scholars. Published by Universities.®

Biomechanics

Conference

2023

Articles 1 - 2 of 2

Full-Text Articles in Medicine and Health Sciences

Accelerometry-Based Analysis Of Postural Sway In Parkinson's Disease Patients With Levodopa-Induced Dyskinesia, Chandler Brock Mar 2023

Accelerometry-Based Analysis Of Postural Sway In Parkinson's Disease Patients With Levodopa-Induced Dyskinesia, Chandler Brock

UNO Student Research and Creative Activity Fair

Parkinson’s disease (PD) is a progressive neurodegenerative disorder, with patient numbers projected to double to 12 million in the next 20 years. Levodopa-induced dyskinesia (LID) is a major problem associated with the long-term use of levodopa for symptomatic treatment of PD. These involuntary movements can become disabling and may interfere with quality of life. Our prior research showed that PD w/ LID were less stable while standing (i.e., increased postural sway) and had a higher incidence of falls. The aim of this study is to determine if postural sway properties are altered by LID via decomposing the sway signal. We …


The Effects Of Demographics And Risk Factors On The Morphological Characteristics Of Human Femoropopliteal Arteries, Sayed Ahmadreza Razian, Majid Jadidi, Alexey Kamenskiy Mar 2023

The Effects Of Demographics And Risk Factors On The Morphological Characteristics Of Human Femoropopliteal Arteries, Sayed Ahmadreza Razian, Majid Jadidi, Alexey Kamenskiy

UNO Student Research and Creative Activity Fair

Background: Disease of the lower extremity arteries (Peripheral Arterial Disease, PAD) is associated with high morbidity and mortality. During disease development, the arteries adapt by changing their diameter, wall thickness, and residual deformations, but the effects of demographics and risk factors on this process are not clear.

Methods: Superficial femoral arteries from 736 subjects (505 male, 231 female, 12 to 99 years old, average age 51±17.8 years) and the associated demographic and risk factor variables were used to construct machine learning (ML) regression models that predicted morphological characteristics (diameter, wall thickness, and longitudinal opening angle resulting from the …