Mechanomyography-based assessment during repetitive sit-to-stand and stand-to-sit in two incomplete spinal cord-injured individuals
Abstract
Standing up and sitting down movements are important prerequisites to achieve functional independence in everyday life of spinal cord injury (SCI) patients. Thus, mechanomyography (MMG) was proposed as a safe monitoring tool to evaluate muscle function performance of these activities. Two incomplete SCI participants performed repetitive sit-to-stand (SitTS) and stand-to-sit (StandTS) until fatigued challenge. Three sets of these activities were completed with MMG sensors attached over the quadriceps muscles of both legs. A 5-min rest was allocated between each set, totalling 399 trials of SitTS and StandTS activities. There was a significant difference between MMG’s mean root mean square maximum (RMSmax) in SitTS and StandTS activities (p = 0.014). The mean values of RMSmax and root mean square average (RMSave) on the right leg were detected to be significantly higher compared to those of the left leg during these activities (p < 0.05). In the frequency domain, MMG’s mean power frequency (MPF) proved to be significantly higher at the beginning compared to the end of the three sets of both activities (p = 0.000). These muscle performances during both activities can be verified based on the analysis of MMG behaviour in time and frequency domains. Furthermore, this study indicated that MMG can be used as a monitoring tool to identify muscle fatigue throughout a prolonged event.
Acknowledgements
The authors acknowledge and appreciate all the SCI volunteers who participated in this study. This research was supported by the Ministry of Higher Education, Malaysia and the University of Malaya through the Fundamental Research Grant Scheme (FRGS) Grant No. FP027-2015A.
Author Statement
Research funding: The authors state no funding involved.
Conflict of interest: The authors declare no conflict of interest.
Informed consent: Informed consent is not applicable.
Ethical approval: The conducted research is not related to either human or animal use.
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Artikel in diesem Heft
- Frontmatter
- Review
- Computer-aided classification of small airways dysfunction using impulse oscillometric features: a children-focused review
- Research articles
- Epileptic seizure recognition using EEG wavelet decomposition based on nonlinear and statistical features with support vector machine classification
- Diagnosis of attention-deficit hyperactivity disorder using EOG signals: a new approach
- Quadriceps mechanomyography reflects muscle fatigue during electrical stimulus-sustained standing in adults with spinal cord injury – a proof of concept
- Mechanomyography-based assessment during repetitive sit-to-stand and stand-to-sit in two incomplete spinal cord-injured individuals
- Functional and radiographic evaluation of an interspinous device as an adjunct for lumbar interbody fusion procedures
- A robust grey wolf-based deep learning for brain tumour detection in MR images
- A left ventricular phantom for 3D echocardiographic twist measurements
- Research on elastic recoil and restoration of vessel pulsatility of Zn-Cu biodegradable coronary stents
- Folic acid decorated metal-organic frameworks loaded with doxorubicin for tumor-targeted chemotherapy of osteosarcoma
- Short communication
- Measuring lower limb circumference and volume – introduction of a novel optical 3D volumetric measurement system