التفاصيل البيبلوغرافية
العنوان: |
Real-Time Performance Assessment of High-Order Tremor Estimators Used in a Wearable Tremor Suppression Device. |
المؤلفون: |
Zhou Y, Habibollahi Z, Ibrahim A, Jenkins ME, Naish MD, Trejos AL |
المصدر: |
IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society [IEEE Trans Neural Syst Rehabil Eng] 2022; Vol. 30, pp. 2856-2865. Date of Electronic Publication: 2022 Oct 20. |
نوع المنشور: |
Journal Article; Research Support, Non-U.S. Gov't |
اللغة: |
English |
بيانات الدورية: |
Publisher: IEEE Country of Publication: United States NLM ID: 101097023 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1558-0210 (Electronic) Linking ISSN: 15344320 NLM ISO Abbreviation: IEEE Trans Neural Syst Rehabil Eng Subsets: MEDLINE |
أسماء مطبوعة: |
Original Publication: Piscataway, NJ : IEEE, c2001- |
مواضيع طبية MeSH: |
Tremor* , Wearable Electronic Devices*, Humans ; Fourier Analysis ; Algorithms ; Motion |
مستخلص: |
The side effects and complications of traditional treatments for treating pathological tremor have led to a growing research interest in wearable tremor suppression devices (WTSDs) as an alternative approach. Similar to how the human brain coordinates the function of the human system, a tremor estimator determines how a WTSD functions. Although many tremor estimation algorithms have been developed and validated, whether they can be implemented on a cost-effective embedded system has not been studied; furthermore, their effectiveness on tremor signals with multiple harmonics has not been investigated. Therefore, in this study, four tremor estimators were implemented, evaluated, and compared: Weighted-frequency Fourier Linear Combiner (WFLC), WFLC-based Kalman Filter (WFLC-KF), Band-limited Multiple FLC, and enhanced High-order WFLC-KF (eHWFLC-KF). This study aimed to evaluate the performance of each algorithm on a bench-top tremor suppression system with 18 recorded tremor motion datasets; and compare the performance of each estimator. The experimental evaluation showed that the eHWFLC-KF-based WTSD achieved the best performance when suppressing tremor with an average of 89.3% reduction in tremor power, and an average error when tracking voluntary motion of 6.6°/s. Statistical analysis indicated that the eHWFLC-KF-based WTSD is able to reduce the power of tremor better than the WFLC and WFLC-KF, and the BMFLC-based WTSD is better than the WFLC. The performance when tracking voluntary motion is similar among all systems. This study has proven the feasibility of implementing various tremor estimators in a cost-effective embedded system, and provided a real-time performance assessment of four tremor estimators. |
معلومات مُعتمدة: |
Canada CIHR |
تواريخ الأحداث: |
Date Created: 20221003 Date Completed: 20221024 Latest Revision: 20221026 |
رمز التحديث: |
20231215 |
DOI: |
10.1109/TNSRE.2022.3211450 |
PMID: |
36191110 |
قاعدة البيانات: |
MEDLINE |