Estimation of Physiological Tremor from Accelerometers for Real-Time Applications
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 estimatin...
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MDPI AG
2011-03-01
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Series: | Sensors |
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Online Access: | http://www.mdpi.com/1424-8220/11/3/3020/ |
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author | Wei Tech Ang Kalyana C. Veluvolu |
author_facet | Wei Tech Ang Kalyana C. Veluvolu |
author_sort | Wei Tech Ang |
collection | DOAJ |
description | 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. |
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format | Article |
id | doaj.art-627af69e611345b1bd36be49a8310dd6 |
institution | Directory Open Access Journal |
issn | 1424-8220 |
language | English |
last_indexed | 2024-04-11T22:25:31Z |
publishDate | 2011-03-01 |
publisher | MDPI AG |
record_format | Article |
series | Sensors |
spelling | doaj.art-627af69e611345b1bd36be49a8310dd62022-12-22T03:59:43ZengMDPI AGSensors1424-82202011-03-011133020303610.3390/s110303020Estimation of Physiological Tremor from Accelerometers for Real-Time ApplicationsWei Tech AngKalyana C. VeluvoluAccurate 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.http://www.mdpi.com/1424-8220/11/3/3020/tremorinertial sensorsBMFLCKalman filterreal-time estimation |
spellingShingle | Wei Tech Ang Kalyana C. Veluvolu Estimation of Physiological Tremor from Accelerometers for Real-Time Applications Sensors tremor inertial sensors BMFLC Kalman filter real-time estimation |
title | Estimation of Physiological Tremor from Accelerometers for Real-Time Applications |
title_full | Estimation of Physiological Tremor from Accelerometers for Real-Time Applications |
title_fullStr | Estimation of Physiological Tremor from Accelerometers for Real-Time Applications |
title_full_unstemmed | Estimation of Physiological Tremor from Accelerometers for Real-Time Applications |
title_short | Estimation of Physiological Tremor from Accelerometers for Real-Time Applications |
title_sort | estimation of physiological tremor from accelerometers for real time applications |
topic | tremor inertial sensors BMFLC Kalman filter real-time estimation |
url | http://www.mdpi.com/1424-8220/11/3/3020/ |
work_keys_str_mv | AT weitechang estimationofphysiologicaltremorfromaccelerometersforrealtimeapplications AT kalyanacveluvolu estimationofphysiologicaltremorfromaccelerometersforrealtimeapplications |