Methods for Physiologic Tremor Characterization, Mitigation, and Modeling
Name
MaganaSalgado-umagana-sm-meche-2023.pdf
Description
Thesis PDF
Size
8.65 MB
Format
Adobe PDF
Checksum (MD5)
83ee12f7c357f26da13b5519d68937cb
Author(s)
Magaña-Salgado, Uriel
Advisor(s)
Anthony, Brian
Date Issued
February 2023
Publisher
Massachusetts Institute of Technology
Abstract
Physiologic tremors exist in all healthy individuals, and occur in moments of excitement, anxiety, or muscle activation. They have been commonly observed in surgeons and other occupations requiring precise movements, but unlike tremors from Parkinson’s disease or Essential Tremor, they are often disregarded in clinical and research settings as they are not linked to any neurological disease, nor disturb one’s daily life. The magnitude of physiologic tremors has been observed to increase through stressful or fatiguing experiences, and decrease through relaxation exercises or medication; however, the combined mechanical, electrical, and physiological changes in the body render it a challenging phenomenon to study.
Advancements in physiological monitoring have allowed researchers to characterize tremors. Accelerometry and surface electromyography are often used to measure tremor patterns, both practical methods for measuring surface-level changes. Imaging modalities like ultrasound, on the other hand, are less prevalent techniques for these scenarios. Combining these methods can present a more holistic observation of physiological changes involved in an emerging tremor, potentially guiding research towards a more complete understanding of their cause and impact on the body.
This thesis highlights approaches to detect and characterize physiologic tremors in the upper limbs. It describes the methods used to process the signals and images acquired via the various modalities, and relates the changes among modalities to each other. Finally, the results of this analysis are highlighted, presenting strategies to mitigate tremors and a new understanding of the biomechanics behind them.
MIT Department
Massachusetts Institute of Technology. Department of Mechanical Engineering
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