Next Article in Journal
Analysis of RFI Identification and Mitigation in CAROLS Radiometer Data Using a Hardware Spectrum Analyser
Previous Article in Journal
Photonic Biosensor Assays to Detect and Distinguish Subspecies of Francisella tularensis
Sensors 2011, 11(3), 3020-3036; doi:10.3390/s110303020
Article

Estimation of Physiological Tremor from Accelerometers for Real-Time Applications

1,*  and 2
Received: 10 January 2011 / Revised: 28 February 2011 / Accepted: 4 March 2011 / Published: 7 March 2011
(This article belongs to the Section Physical Sensors)
View Full-Text   |   Download PDF [654 KB, 21 June 2014; original version 21 June 2014]   |   Browse Figures

Abstract

Accurate filtering of physiological tremor is extremely important in robotics assisted surgical instruments and procedures. This paper focuses on developing single stage robust algorithms for accurate tremor filtering with accelerometers for real-time applications. Existing methods rely on estimating the tremor under the assumption that it has a single dominant frequency. Our time-frequency analysis on physiological tremor data revealed that tremor contains multiple dominant frequencies over the entire duration rather than a single dominant frequency. In this paper, the existing methods for tremor filtering are reviewed and two improved algorithms are presented. A comparative study is conducted on all the estimation methods with tremor data from microsurgeons and novice subjects under different conditions. Our results showed that the new improved algorithms performed better than the existing algorithms for tremor estimation. A procedure to separate the intended motion/drift from the tremor component is formulated.
Keywords: tremor; inertial sensors; BMFLC; Kalman filter; real-time estimation tremor; inertial sensors; BMFLC; Kalman filter; real-time estimation
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Share & Cite This Article

Further Mendeley | CiteULike
Export to BibTeX |
EndNote
MDPI and ACS Style

Veluvolu, K.C.; Ang, W.T. Estimation of Physiological Tremor from Accelerometers for Real-Time Applications. Sensors 2011, 11, 3020-3036.

View more citation formats

Related Articles

Article Metrics

For more information on the journal, click here

Comments

Cited By

[Return to top]
Sensors EISSN 1424-8220 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert