On improving gait analysis data: Heel induced force plate noise removal and cut-off frequency selection for butterworth filter

Valters Abolins; Krisjanis Nesenbergs; Edgars Bernans

doi:10.1145/3163080.3163122

On improving gait analysis data: Heel induced force plate noise removal and cut-off frequency selection for butterworth filter

Valters Abolins (Corresponding Author), Krisjanis Nesenbergs, Edgars Bernans

Latvian Academy of Sport Education (LASE)

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

Ground reaction force data is key to gait analysis research. Existing filtering methods for this data are not adequate leading to incomparable results. In this article a method for removing heel strike induced force plate vibration noise is proposed allowing for better filtration of heel-strike running data, preserving the impact maximum and providing smooth thrust phase curve. There is significant (p < 0.001) difference in loading rates between simple Butterworth filtering and proposed method. It increases from 209.44 BW/s to 232.93 BW/s. After clustering analysis two groups were determined. One of which resists proposed method and has no significant improvement loading rate ratio (p = 0.1954), but have small improvement (0.99 Hz) in cut-off frequency (p = 0.01). The other group has significant improvement in cut-off frequency (16.10 Hz, p <0.001) and in loading rate ratio (0.05, p < 0.001).

Original language	English
Title of host publication	Proceedings of the 9th International Conference on Signal Processing Systems ICSPS 2017
Publisher	Association for Computing Machinery
Pages	215-219
Number of pages	5
ISBN (Electronic)	9781450353847
DOIs	https://doi.org/10.1145/3163080.3163122
Publication status	Published - 27 Nov 2017
Event	9th International Conference on Signal Processing Systems - Auckland, New Zealand Duration: 27 Nov 2017 → 30 Nov 2017 Conference number: 9 https://dl.acm.org/doi/proceedings/10.1145/3163080

Publication series

Name	ACM International Conference Proceeding Series

Conference

Conference	9th International Conference on Signal Processing Systems
Abbreviated title	ICSPS 2017
Country/Territory	New Zealand
City	Auckland
Period	27/11/17 → 30/11/17
Internet address	https://dl.acm.org/doi/proceedings/10.1145/3163080

Keywords*

Filtering
Gait analysis
Ground reaction force

Field of Science*

3.3 Health sciences

Publication Type*

3.1. Articles or chapters in proceedings/scientific books indexed in Web of Science and/or Scopus database

Access to Document

10.1145/3163080.3163122

Cite this

Abolins, V., Nesenbergs, K., & Bernans, E. (2017). On improving gait analysis data: Heel induced force plate noise removal and cut-off frequency selection for butterworth filter. In Proceedings of the 9th International Conference on Signal Processing Systems ICSPS 2017 (pp. 215-219). Article 135191 (ACM International Conference Proceeding Series). Association for Computing Machinery. https://doi.org/10.1145/3163080.3163122

Abolins, Valters ; Nesenbergs, Krisjanis ; Bernans, Edgars. / On improving gait analysis data : Heel induced force plate noise removal and cut-off frequency selection for butterworth filter. Proceedings of the 9th International Conference on Signal Processing Systems ICSPS 2017 . Association for Computing Machinery, 2017. pp. 215-219 (ACM International Conference Proceeding Series).

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title = "On improving gait analysis data: Heel induced force plate noise removal and cut-off frequency selection for butterworth filter",

abstract = "Ground reaction force data is key to gait analysis research. Existing filtering methods for this data are not adequate leading to incomparable results. In this article a method for removing heel strike induced force plate vibration noise is proposed allowing for better filtration of heel-strike running data, preserving the impact maximum and providing smooth thrust phase curve. There is significant (p < 0.001) difference in loading rates between simple Butterworth filtering and proposed method. It increases from 209.44 BW/s to 232.93 BW/s. After clustering analysis two groups were determined. One of which resists proposed method and has no significant improvement loading rate ratio (p = 0.1954), but have small improvement (0.99 Hz) in cut-off frequency (p = 0.01). The other group has significant improvement in cut-off frequency (16.10 Hz, p <0.001) and in loading rate ratio (0.05, p < 0.001).",

keywords = "Filtering, Gait analysis, Ground reaction force",

author = "Valters Abolins and Krisjanis Nesenbergs and Edgars Bernans",

note = "Publisher Copyright: {\textcopyright} 2017 Association for Computing Machinery.; 9th International Conference on Signal Processing Systems, ICSPS 2017 ; Conference date: 27-11-2017 Through 30-11-2017",

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doi = "10.1145/3163080.3163122",

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Abolins, V, Nesenbergs, K & Bernans, E 2017, On improving gait analysis data: Heel induced force plate noise removal and cut-off frequency selection for butterworth filter. in Proceedings of the 9th International Conference on Signal Processing Systems ICSPS 2017 ., 135191, ACM International Conference Proceeding Series, Association for Computing Machinery, pp. 215-219, 9th International Conference on Signal Processing Systems, Auckland, New Zealand, 27/11/17. https://doi.org/10.1145/3163080.3163122

On improving gait analysis data: Heel induced force plate noise removal and cut-off frequency selection for butterworth filter. / Abolins, Valters (Corresponding Author); Nesenbergs, Krisjanis; Bernans, Edgars.
Proceedings of the 9th International Conference on Signal Processing Systems ICSPS 2017 . Association for Computing Machinery, 2017. p. 215-219 135191 (ACM International Conference Proceeding Series).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - On improving gait analysis data

T2 - 9th International Conference on Signal Processing Systems

AU - Abolins, Valters

AU - Nesenbergs, Krisjanis

AU - Bernans, Edgars

N1 - Conference code: 9

PY - 2017/11/27

Y1 - 2017/11/27

N2 - Ground reaction force data is key to gait analysis research. Existing filtering methods for this data are not adequate leading to incomparable results. In this article a method for removing heel strike induced force plate vibration noise is proposed allowing for better filtration of heel-strike running data, preserving the impact maximum and providing smooth thrust phase curve. There is significant (p < 0.001) difference in loading rates between simple Butterworth filtering and proposed method. It increases from 209.44 BW/s to 232.93 BW/s. After clustering analysis two groups were determined. One of which resists proposed method and has no significant improvement loading rate ratio (p = 0.1954), but have small improvement (0.99 Hz) in cut-off frequency (p = 0.01). The other group has significant improvement in cut-off frequency (16.10 Hz, p <0.001) and in loading rate ratio (0.05, p < 0.001).

AB - Ground reaction force data is key to gait analysis research. Existing filtering methods for this data are not adequate leading to incomparable results. In this article a method for removing heel strike induced force plate vibration noise is proposed allowing for better filtration of heel-strike running data, preserving the impact maximum and providing smooth thrust phase curve. There is significant (p < 0.001) difference in loading rates between simple Butterworth filtering and proposed method. It increases from 209.44 BW/s to 232.93 BW/s. After clustering analysis two groups were determined. One of which resists proposed method and has no significant improvement loading rate ratio (p = 0.1954), but have small improvement (0.99 Hz) in cut-off frequency (p = 0.01). The other group has significant improvement in cut-off frequency (16.10 Hz, p <0.001) and in loading rate ratio (0.05, p < 0.001).

KW - Filtering

KW - Gait analysis

KW - Ground reaction force

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M3 - Conference contribution

AN - SCOPUS:85045316170

T3 - ACM International Conference Proceeding Series

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BT - Proceedings of the 9th International Conference on Signal Processing Systems ICSPS 2017

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ER -

Abolins V, Nesenbergs K, Bernans E. On improving gait analysis data: Heel induced force plate noise removal and cut-off frequency selection for butterworth filter. In Proceedings of the 9th International Conference on Signal Processing Systems ICSPS 2017 . Association for Computing Machinery. 2017. p. 215-219. 135191. (ACM International Conference Proceeding Series). doi: 10.1145/3163080.3163122

On improving gait analysis data: Heel induced force plate noise removal and cut-off frequency selection for butterworth filter

Abstract

Publication series

Conference

Keywords*

Field of Science*

Publication Type*

Access to Document

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GARO DISTANČU SKRIEŠANAS EKONOMISKUMU IETEKMĒJOŠIE BIOMEHĀNISKIE RAKSTURLIELUMI

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