Literature DB >> 9684456

Electromyographic signals during gait: criteria for envelope filtering and number of strides.

R Shiavi1, C Frigo, A Pedotti.   

Abstract

The use of linear envelopes to represent the electromyographic (EMG) measurements obtained during locomotion has become common practice. Guidelines for designing envelope filters and specifying the minimum number of strides needed to produce valid EMG profiles have been developed. Electromyograms from eight major muscles of the lower leg are measured from five normal young adults during self-selected slow, free and fast walking speeds. 30 strides per task are measured. The 'ideal' EMG profile is defined from the ensemble average of the rectified EMG signal. An error measure is defined and used as a criterion to assess the appropriateness of various cut-off frequencies for envelope filters and the number of strides required for establishing a good EMG profile. It is found that between six and ten strides are needed to form a representative profile, and an envelope filter with a minimum cut-off frequency of approximately 9 Hz is necessary.

Mesh:

Year:  1998        PMID: 9684456     DOI: 10.1007/bf02510739

Source DB:  PubMed          Journal:  Med Biol Eng Comput        ISSN: 0140-0118            Impact factor:   2.602


  16 in total

1.  Effects of electromyographic processing methods on computer-averaged surface electromyographic profiles for the gluteus medius muscle.

Authors:  R F Kleissen
Journal:  Phys Ther       Date:  1990-11

2.  Quantification of human dynamic muscle fatigue by electromyography and kinematic profiles.

Authors:  L Arendt-Nielsen; T Sinkjær
Journal:  J Electromyogr Kinesiol       Date:  1991       Impact factor: 2.368

3.  Surface EMG spectral changes with muscle length.

Authors:  G F Inbar; J Allin; H Kranz
Journal:  Med Biol Eng Comput       Date:  1987-11       Impact factor: 2.602

4.  How many strides are required for the analysis of electromyographic data in gait?

Authors:  A B Arsenault; D A Winter; R G Marteniuk; K C Hayes
Journal:  Scand J Rehabil Med       Date:  1986

5.  Electromyographic gait assessment, Part 1: Adult EMG profiles and walking speed.

Authors:  R Shiavi; H J Bugle; T Limbird
Journal:  J Rehabil Res Dev       Date:  1987

6.  Dynamic relationship between isometric muscle tension and the electromyogram in man.

Authors:  G L Gottlieb; G C Agarwal
Journal:  J Appl Physiol       Date:  1971-03       Impact factor: 3.531

7.  Ensemble averaging of locomotor electromyographic patterns using interpolation.

Authors:  R Shiavi; N Green
Journal:  Med Biol Eng Comput       Date:  1983-09       Impact factor: 2.602

8.  Kinematic and EMG patterns during slow, free, and fast walking.

Authors:  M P Murray; L A Mollinger; G M Gardner; S B Sepic
Journal:  J Orthop Res       Date:  1984       Impact factor: 3.494

9.  Electromyographic amplitude normalization methods: improving their sensitivity as diagnostic tools in gait analysis.

Authors:  J F Yang; D A Winter
Journal:  Arch Phys Med Rehabil       Date:  1984-09       Impact factor: 3.966

10.  Changes in leg movements and muscle activity with speed of locomotion and mode of progression in humans.

Authors:  J Nilsson; A Thorstensson; J Halbertsma
Journal:  Acta Physiol Scand       Date:  1985-04
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  22 in total

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Review 2.  How to improve the muscle synergy analysis methodology?

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Authors:  Sook-Yee Chong; Heiko Wagner; Arne Wulf
Journal:  Med Biol Eng Comput       Date:  2012-07-29       Impact factor: 2.602

6.  Classification of rhythmic locomotor patterns in electromyographic signals using fuzzy sets.

Authors:  Timothy A Thrasher; John S Ward; Stanley Fisher
Journal:  J Neuroeng Rehabil       Date:  2011-12-08       Impact factor: 4.262

7.  Distinct sets of locomotor modules control the speed and modes of human locomotion.

Authors:  Hikaru Yokoyama; Tetsuya Ogawa; Noritaka Kawashima; Masahiro Shinya; Kimitaka Nakazawa
Journal:  Sci Rep       Date:  2016-11-02       Impact factor: 4.379

8.  Electromyography Exposes Heterogeneity in Muscle Co-Contraction following Stroke.

Authors:  Caitlin L Banks; Helen J Huang; Virginia L Little; Carolynn Patten
Journal:  Front Neurol       Date:  2017-12-22       Impact factor: 4.003

9.  Effects of body weight support and guidance force settings on muscle synergy during Lokomat walking.

Authors:  Yosra Cherni; Maryam Hajizadeh; Fabien Dal Maso; Nicolas A Turpin
Journal:  Eur J Appl Physiol       Date:  2021-07-04       Impact factor: 3.078

10.  Muscle Activation during Gait in Children with Duchenne Muscular Dystrophy.

Authors:  Juliette Ropars; Mathieu Lempereur; Carole Vuillerot; Vincent Tiffreau; Sylviane Peudenier; Jean-Marie Cuisset; Yann Pereon; Fabien Leboeuf; Ludovic Delporte; Yannick Delpierre; Raphaël Gross; Sylvain Brochard
Journal:  PLoS One       Date:  2016-09-13       Impact factor: 3.240

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