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Tremor analysis by decomposition of acceleration into gravity and inertial acceleration using inertial measurement unit
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SYSNO ASEP 0350248 Document Type J - Journal Article R&D Document Type Journal Article Subsidiary J Článek ve WOS Title Tremor analysis by decomposition of acceleration into gravity and inertial acceleration using inertial measurement unit Author(s) Šprdlík, Otakar (UTIA-B) RID
Hurák, Z. (CZ)
Hoskovcová, M. (CZ)
Ulmanová, O. (CZ)
Růžička, E. (CZ)Number of authors 5 Source Title Biomedical Signal Processing and Control. - : Elsevier - ISSN 1746-8094
Roč. 6, č. 3 (2011), s. 269-289Number of pages 11 s. Language eng - English Country NL - Netherlands Keywords Tremor ; Accelerometer ; Inertial measurementunit ; Gravitational artifact ; Regression ; Tremor ratingscale Subject RIV BC - Control Systems Theory R&D Projects 1M0567 GA MŠMT - Ministry of Education, Youth and Sports (MEYS) CEZ AV0Z10750506 - UTIA-B (2005-2011) UT WOS 000293480100008 DOI 10.1016/j.bspc.2010.09.004 Annotation Decomposition of acceleration was investigated as an alternative to commonly used direct spectral analysis of measured acceleration or angular velocity for tremor quantification. An orientation estimation algorithm was devised to decompose the measured acceleration into the gravitational artifact and the inertial acceleration caused by sensor movement in an inertial reference frame. Resulting signals, beside the measured acceleration and angular velocity, were used to assess tremor amplitude and frequency by spectral peak detection. The algorithm was tested on experimental data from a clinical study including patients with essential tremor. The testing comprised of the classification of measurements to come from a patient or a healthy control and of the regression of the visual assessment of tremor amplitude. Small improvements in performance measures were achieved by using the decomposed acceleration. The regression accuracy was comparable to the accuracy achieved in other works. Workplace Institute of Information Theory and Automation Contact Markéta Votavová, votavova@utia.cas.cz, Tel.: 266 052 201. Year of Publishing 2012
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