Unjumbling Procedure in the Algorithmic Analysis of Biomechanical Torques Induced by Electrical Stimulation: Case Study of the Lower Limb
Source abstract
Abstract
Functional Electrical Stimulation (FES) uses electrical pulses to cause muscles to contract synthetically. When muscles contract due to stimulation, torques are produced around joints attached to the muscle. It is important to understand torques being produced, for reasons such as safety and indirect fatigue measurement. Given the translatability of FES devices into the home for therapy, having ways to non-invasively measure muscle responses to stimulation is essential for understanding and diagnosing the biomechanical response of the human body. Here, we present data from a stimulation experiment examining knee joint torques (KJTs) arising when quadriceps are subjected to electrical stimulation. A novel algorithm for computing and summarizing KJT data into a series of simplified parameters was developed using MATLAB software. From this, we draw some conclusions about the effect of changing the stimulation duty cycle on the resultant KJT. We believe this method will provide researchers with a tool to measure torque in a semi-automated, convenient fashion.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Muscle activation and electromyography studies · Advanced Sensor and Energy Harvesting Materials · Neuroscience and Neural Engineering
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
School of Aerospace, Mechanical and Mechatronic Engineering, Faculty of Engineering and IT, The University of Sydney, Camperdown, NSW 2006, Australia
Charles Perkins Centre, The University of Sydney, Camperdown, NSW 2006, Australia
Discipline of Exercise and Sport Science, Sydney School of Health Sciences, Faculty of Medicine and Health, The University of Sydney, Camperdown, NSW 2006, Australia
Funding
Faculty of Engineering and IT · Charles Perkins Centre at the University of Sydney, Australia
References (20)
Show source-provided references
1. Functional electrical stimulation cycling exercise after spinal cord injury: A systematic review of health and fitness-related outcomes10.1186/s12984-021-00882-8 ↗
2. Electrical stimulation of unloaded muscles causes cardiovascular exercise by increasing oxygen demand10.1097/01.hjr.0000169188.84184.23 ↗
3. Electrical stimulation of human lower extremities enhances energy con-sumption, carbohydrate oxidation, and whole body glucose uptake10.1152/japplphysiol.00664.2003 ↗
4. Skel etal muscle weakness in older adults home-restricted due to COVID-19 pandemic: A role for full-body in-bed gym and functional electrical stimulation10.1007/s40520-021-01885-0 ↗
5. Zhang, X., Pan, X., Deng, L., and Fu, W. (2020). Relationship between Knee Muscle Strength and Fat/Muscle Mass in Elderly Women with Knee Osteoarthritis Based on Dual-Energy X-Ray Absorptiometry. Int. J. Environ. Res. Public Health, 17.10.3390/ijerph17020573 ↗
6. Falls associated with muscle strength in patients with knee osteoarthritis and self-reported knee instability10.3899/jrheum.140517 ↗
7. Reliability and validity of the Biodex system 3 pro isokinetic dynamometer velocity, torque and position measurements10.1007/s00421-003-0933-0 ↗
8. Taylor, M.J., Fornusek, C., de Chazal, P., and Ruys, A.J. (2017, January 1–2). All talk no torque—A novel set of metrics to quantify muscle fatigue through isometric dynamometry in Functional Electrical Stimulation (FES) muscle studies. Proceedings of the 4th International Conference on Mechanical Engineering Research (ICMER2017), Kuantan, Malaysia.10.1088/1757-899X/257/1/012018 ↗
9. Baker, L.L., Mcneal, D.R., Newsam, C., Waters, R.L., and Wederich, C.L. (2000). Neuro Muscular Electrical Stimulation—A Practical Guide, Los Amigos Research Institute, Inc.. [4th ed.].
10. Effect of duty cycle on fatigue during stimulation of the quadriceps muscle
11. Comparison of Torque and Discomfort Produced by Sinusoidal and Rectangular Alternating Current Electrical Stimulation in the Quadriceps Muscle at Variable Burst Duty Cycles10.1097/PHM.0000000000000008 ↗
12. The Identification and Tracking of Uterine Contractions Using Template Based Cross-Correlation10.1007/s10439-017-1873-x ↗
13. Multi-channel Fusion Based Adaptive Gait Trajectory Generation Using Wearable Sensors10.1007/s10846-016-0436-y ↗
14. Neural representation of muscle dynamics in voluntary movement control10.1007/s00221-014-3901-5 ↗
15. Development of force-based metrics for skills assessment in minimally invasive surgery10.1007/s00464-014-3442-9 ↗
16. Nguyen, C.D., Amatoury, J., Carberry, J.C., and Eckert, D.J. (2017). An automated and reliable method for breath detection during variable mask pressures in awake and sleeping humans. PLoS ONE, 12.10.1371/journal.pone.0179030 ↗
17. Functional near-infrared spectroscopy maps cortical plasticity underlying al-tered motor performance induced by transcranial direct current stimulation10.1117/1.JBO.18.11.116003 ↗
18. (2022, March 11). GitHub. Available online: https://github.com/.
19. Energy cost and fatigue during intermittent electrical stimulation of human skeletal muscle10.1152/jappl.1988.65.4.1500 ↗
20. ATP utilization and force during intermittent and continuous muscle con-traction10.1152/jappl.1987.63.1.167 ↗