Gait analysis using ultrasound and inertial sensors

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademic

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Abstract

Introduction and past research: Inertial sensors are great for orientation estimation, but they cannot measure relative positions of human body segments directly. In previous work we used ultrasound to estimate distances between body segments [1]. In [2] we presented an easy to use system for gait analysis in clinical practice but also in-home situations. Ultrasound range estimates were fused with data from foot-mounted inertial sensors, using an extended Kalman filter, for 3D (relative) position and orientation estimation of the feet. Validation: From estimated 3D positions we calculated step lengths and stride widths and compared this to an optical reference system for validation. Mean (±standard deviation) of absolute differences was 1.7 cm (±1.8 cm) for step lengths and 1.2 cm (±1.2 cm) for stride widths when comparing 54 walking trials of three healthy subjects. Clinical application: Next, the system presented in [2] was used in the INTERACTION project, for measuring eight stroke subjects during a 10 m walk test [3]. Step lengths, stride widths and stance and swing times were compared with the Berg balance scale score. The first results showed a correlation between step lengths and Berg balance scale scores. To draw real conclusions, more patients and also different activities will be investigated next. Future work: In future work we will extend the system with inertial sensors on the upperand lower legs and the pelvis, to be able to calculate a closed loop and improve the estimation of joint angles compared with systems containing only inertial sensors.
Original languageUndefined
Title of host publication5th Dutch Conference on Bio-Medical Engineering, BME 2015
Place of PublicationEgmond aan Zee, The Netherlands
PublisherBME
Pages-
Number of pages1
ISBN (Print)not assigned
Publication statusPublished - 22 Jan 2015
Event5th Dutch Bio-Medical Engineering Conference, BME 2015 - Hotel Zuiderduin, Egmond aan Zee, Netherlands
Duration: 22 Jan 201523 Jan 2015
Conference number: 5
http://www.bme2015.nl/

Publication series

Name
PublisherBME

Conference

Conference5th Dutch Bio-Medical Engineering Conference, BME 2015
Abbreviated titleBME 2015
CountryNetherlands
CityEgmond aan Zee
Period22/01/1523/01/15
Internet address

Keywords

  • BSS-Biomechatronics and rehabilitation technology
  • EWI-25684
  • IR-94111
  • METIS-312490

Cite this

Weenk, D., van Meulen, F., van Beijnum, B. J. F., Droog, A., Roetenberg, D., Hermens, H. J., & Veltink, P. H. (2015). Gait analysis using ultrasound and inertial sensors. In 5th Dutch Conference on Bio-Medical Engineering, BME 2015 (pp. -). Egmond aan Zee, The Netherlands: BME.
Weenk, D. ; van Meulen, Fokke ; van Beijnum, Bernhard J.F. ; Droog, Adriaan ; Roetenberg, D. ; Hermens, Hermanus J. ; Veltink, Petrus H. / Gait analysis using ultrasound and inertial sensors. 5th Dutch Conference on Bio-Medical Engineering, BME 2015. Egmond aan Zee, The Netherlands : BME, 2015. pp. -
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title = "Gait analysis using ultrasound and inertial sensors",
abstract = "Introduction and past research: Inertial sensors are great for orientation estimation, but they cannot measure relative positions of human body segments directly. In previous work we used ultrasound to estimate distances between body segments [1]. In [2] we presented an easy to use system for gait analysis in clinical practice but also in-home situations. Ultrasound range estimates were fused with data from foot-mounted inertial sensors, using an extended Kalman filter, for 3D (relative) position and orientation estimation of the feet. Validation: From estimated 3D positions we calculated step lengths and stride widths and compared this to an optical reference system for validation. Mean (±standard deviation) of absolute differences was 1.7 cm (±1.8 cm) for step lengths and 1.2 cm (±1.2 cm) for stride widths when comparing 54 walking trials of three healthy subjects. Clinical application: Next, the system presented in [2] was used in the INTERACTION project, for measuring eight stroke subjects during a 10 m walk test [3]. Step lengths, stride widths and stance and swing times were compared with the Berg balance scale score. The first results showed a correlation between step lengths and Berg balance scale scores. To draw real conclusions, more patients and also different activities will be investigated next. Future work: In future work we will extend the system with inertial sensors on the upperand lower legs and the pelvis, to be able to calculate a closed loop and improve the estimation of joint angles compared with systems containing only inertial sensors.",
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Weenk, D, van Meulen, F, van Beijnum, BJF, Droog, A, Roetenberg, D, Hermens, HJ & Veltink, PH 2015, Gait analysis using ultrasound and inertial sensors. in 5th Dutch Conference on Bio-Medical Engineering, BME 2015. BME, Egmond aan Zee, The Netherlands, pp. -, 5th Dutch Bio-Medical Engineering Conference, BME 2015, Egmond aan Zee, Netherlands, 22/01/15.

Gait analysis using ultrasound and inertial sensors. / Weenk, D.; van Meulen, Fokke; van Beijnum, Bernhard J.F.; Droog, Adriaan; Roetenberg, D.; Hermens, Hermanus J.; Veltink, Petrus H.

5th Dutch Conference on Bio-Medical Engineering, BME 2015. Egmond aan Zee, The Netherlands : BME, 2015. p. -.

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademic

TY - GEN

T1 - Gait analysis using ultrasound and inertial sensors

AU - Weenk, D.

AU - van Meulen, Fokke

AU - van Beijnum, Bernhard J.F.

AU - Droog, Adriaan

AU - Roetenberg, D.

AU - Hermens, Hermanus J.

AU - Veltink, Petrus H.

N1 - http://www.bme2015.nl/program/show_slot/20

PY - 2015/1/22

Y1 - 2015/1/22

N2 - Introduction and past research: Inertial sensors are great for orientation estimation, but they cannot measure relative positions of human body segments directly. In previous work we used ultrasound to estimate distances between body segments [1]. In [2] we presented an easy to use system for gait analysis in clinical practice but also in-home situations. Ultrasound range estimates were fused with data from foot-mounted inertial sensors, using an extended Kalman filter, for 3D (relative) position and orientation estimation of the feet. Validation: From estimated 3D positions we calculated step lengths and stride widths and compared this to an optical reference system for validation. Mean (±standard deviation) of absolute differences was 1.7 cm (±1.8 cm) for step lengths and 1.2 cm (±1.2 cm) for stride widths when comparing 54 walking trials of three healthy subjects. Clinical application: Next, the system presented in [2] was used in the INTERACTION project, for measuring eight stroke subjects during a 10 m walk test [3]. Step lengths, stride widths and stance and swing times were compared with the Berg balance scale score. The first results showed a correlation between step lengths and Berg balance scale scores. To draw real conclusions, more patients and also different activities will be investigated next. Future work: In future work we will extend the system with inertial sensors on the upperand lower legs and the pelvis, to be able to calculate a closed loop and improve the estimation of joint angles compared with systems containing only inertial sensors.

AB - Introduction and past research: Inertial sensors are great for orientation estimation, but they cannot measure relative positions of human body segments directly. In previous work we used ultrasound to estimate distances between body segments [1]. In [2] we presented an easy to use system for gait analysis in clinical practice but also in-home situations. Ultrasound range estimates were fused with data from foot-mounted inertial sensors, using an extended Kalman filter, for 3D (relative) position and orientation estimation of the feet. Validation: From estimated 3D positions we calculated step lengths and stride widths and compared this to an optical reference system for validation. Mean (±standard deviation) of absolute differences was 1.7 cm (±1.8 cm) for step lengths and 1.2 cm (±1.2 cm) for stride widths when comparing 54 walking trials of three healthy subjects. Clinical application: Next, the system presented in [2] was used in the INTERACTION project, for measuring eight stroke subjects during a 10 m walk test [3]. Step lengths, stride widths and stance and swing times were compared with the Berg balance scale score. The first results showed a correlation between step lengths and Berg balance scale scores. To draw real conclusions, more patients and also different activities will be investigated next. Future work: In future work we will extend the system with inertial sensors on the upperand lower legs and the pelvis, to be able to calculate a closed loop and improve the estimation of joint angles compared with systems containing only inertial sensors.

KW - BSS-Biomechatronics and rehabilitation technology

KW - EWI-25684

KW - IR-94111

KW - METIS-312490

M3 - Conference contribution

SN - not assigned

SP - -

BT - 5th Dutch Conference on Bio-Medical Engineering, BME 2015

PB - BME

CY - Egmond aan Zee, The Netherlands

ER -

Weenk D, van Meulen F, van Beijnum BJF, Droog A, Roetenberg D, Hermens HJ et al. Gait analysis using ultrasound and inertial sensors. In 5th Dutch Conference on Bio-Medical Engineering, BME 2015. Egmond aan Zee, The Netherlands: BME. 2015. p. -