期刊
IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING
卷 26, 期 9, 页码 1823-1834出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TNSRE.2018.2859793
关键词
Hand tremor; Parkinson's disease; pathological tremor; tremor; tremor characterization; tremor estimation
资金
- Academic Development Fund, Western University
- Natural Sciences and Engineering Research Council (NSERC) of Canada [RGPIN-2014-03815]
- Ontario Ministry of Economic Development, Trade and Employment
- Ontario Ministry of Research and Innovation
- Transdisciplinary Bone & Joint Training Award from Collaborative Training Program in Musculoskeletal Health Research (CMHR) at Western University
- Peter C. Maurice Research Fellowship in Biomedical Engineering
Recent progress in wearable technology has made wearable tremor suppression devices (WTSDs) for Parkinson's patients a potentially viable alternative solution for tremor management. So far, in contrast to wrist and elbow tremor, finger tremors have not been studied in depth despite the huge impact that they have on a patient's daily life. In addition, more evidence has been found showing that the performance of current tremor estimators may be limited by their model order due to the multiple harmonics present in tremor. The aim of this paper is to characterize finger and wrist tremor in both the time and frequency domains, and to propose a high-order tremor estimation algorithm. Tremor magnitudes are reported in the forms of linear acceleration, angular velocity, and angular displacement. The activation of forearm flexor and extensor muscles is also investigated. The frequency analysis shows that Parkinsonian tremors produce oscillations of the hand with pronounced harmonics. At last, a high-order weighted-frequency Fourier linear combiner (WFLC)-based Kalman filter is proposed. The percentage estimation accuracy achieved from the proposed estimator is 96.3 +/- 1.7%, showing average improvements of 28.5% and 48.9% over its lower-order counterpart and the WFLC. The proposed estimator shows promise for use in a WTSD.
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