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...

Full description

Bibliographic Details
Main Authors: Wei Tech Ang, Kalyana C. Veluvolu
Format: Article
Language:English
Published: MDPI AG 2011-03-01
Series:Sensors
Subjects:
Online Access:http://www.mdpi.com/1424-8220/11/3/3020/
_version_ 1798041724806758400
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.
first_indexed 2024-04-11T22:25:31Z
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