Index for estimation of muscle force from mechanomyogrpahy based on the Lempel-Ziv algorithm
View/Open
1-s2.0-S1050641113000199-main2.pdf (1,446Mb) (Restricted access)
Request copy
Què és aquest botó?
Aquest botó permet demanar una còpia d'un document restringit a l'autor. Es mostra quan:
- Disposem del correu electrònic de l'autor
- El document té una mida inferior a 20 Mb
- Es tracta d'un document d'accés restringit per decisió de l'autor o d'un document d'accés restringit per política de l'editorial
Cita com:
hdl:2117/21147
Document typeArticle
Defense date2013-02-19
Rights accessRestricted access - publisher's policy
Abstract
The study of the amplitude of respiratory muscle mechanomyographic (MMG) signals could be useful in clinical practice as an alternative non-invasive technique to assess respiratory muscle strength. The MMG signal is stochastic in nature, and its amplitude is usually estimated by means of the average rectified value (ARV) or the root mean square (RMS) of the signal. Both parameters can be used to estimate MMG activity, as they correlate well with muscle force. These estimations are, however, greatly affected by the presence of structured impulsive noise that overlaps in frequency with the MMG signal. In this paper, we present a method for assessing muscle activity based on the Lempel–Ziv algorithm: the Multistate Lempel–Ziv (MLZ) index. The behaviour of the MLZ index was tested with synthesised signals, with various amplitude distributions and degrees of complexity, and with recorded diaphragm MMG signals. We found that this index, like the ARV and RMS parameters, is positively correlated with changes in amplitude of the diaphragm MMG components, but is less affected by components that have non-random behaviour (like structured impulsive noise). Therefore, the MLZ index could provide more information to assess the MMG–force relationship.
CitationSarlabous, L. [et al.]. Index for estimation of muscle force from mechanomyogrpahy based on the Lempel-Ziv algorithm. "Journal of electromyography and kinesiology", 19 Febrer 2013, vol. 23, núm. 3, p. 548-557.
ISSN1050-6411
Files | Description | Size | Format | View |
---|---|---|---|---|
1-s2.0-S1050641113000199-main2.pdf![]() | 1,446Mb | Restricted access |
All rights reserved. This work is protected by the corresponding intellectual and industrial
property rights. Without prejudice to any existing legal exemptions, reproduction, distribution, public
communication or transformation of this work are prohibited without permission of the copyright holder