Detecção de fadiga neuromuscular em pessoas com lesão medular completa utilizando transformada wavelet

Abstract

Introduction: People with spinal cord injury (SCI) may have the paralyzed muscles activated through functional electrical stimulation (FES) on neural pathways present below the skin. These electrical stimulations are important to restore the neuromuscular trophism or during the movement control using neural prostheses. However, prolonged FES application causes fatigue, which decreases the contraction strength, mainly due the neuromuscular hypotrophy in this population. The acquisition of myofibers’ vibration is recognized by mechanomyography (MMG) system and does not suffer electrical interference from the FES system. Objective: To characterize the rectus femoris muscle vibration during electrically evoked neuromuscular fatigue protocol in complete spinal cord injury subjects. Methods: As sample, 24 limbs (right and left) from 15 male participants (age: 27±5 y.o.) and ranked as A and B according to American Spinal Injury Impairment Scale) were selected. An electrical stimulator operating as voltage source, specially developed for research, was configured as: pulse frequency set to 1 kHz (20% duty cycle) and burst (modulating) frequency set to 70 Hz (20% active period). The triaxial [X (transverse), Y (longitudinal) and Z (perpendicular)] MMG signal of rectus femoris muscle was processed with a third-order 5-50 Hz bandpass Butterworth filter. A load cell was used to register the force. The stimulator output voltage was increased (~3 V/s to avoid motoneuron adaptation/habituation) until the maximal electrically-evoked extension (MEEE) of the knee joint. After the load cell placement, the stimuli magnitude required to reach MEEE was applied and registered by the load cell as muscular F100% response. Stimuli intensity was increased during the control to keep the force in F100%. Four instants (I - IV) were selected from F100% up to the inability to keep the FES response force above 30% (F30%). The signal was processed in temporal (energy), spectral (median frequency) and wavelet (temporal-spectral with twelve band frequencies between 5 and 53 Hz) domains. All data were normalized by initial instant, creating arbitrary units (a.u.), and non-parametric tests were applied. Results: The median frequency did not show statistical significance. Regarding the MMG axes, the transverse axis showed most statistical differences. The MMG energy (temporal domain) indicates the decrease between the instants I (unfatigued) and II (pre-fatigue), as well as instants I and IV (fatigued). The wavelet domain focused on the transverse axis, especially on 13, 16, 20, 25 and 35 Hz frequency bands, for having shown significant reduction proven during neuromuscular fatigue. In focus on 25 Hz band frequency that showed a constant decrease between instants I (median value from data de 0.53 a.u.) with subsequent instants [II (0.30 a.u.), III (0.28 a.u.) and IV (0.24 a.u.). Conclusion: Neuromuscular fatigue is characterized by energy decrease in MMG X-axis (transverse) signal of vibration on the rectus femoris muscle for complete spinal cord injured subjects, in the temporal domain but mainly in the wavelet domain. The 25 Hz is the most important band frequency because its energy decreases with neuromuscular fatigue. These findings open the possibility of application in closed-loop systems during physical rehabilitation procedures using FES or in the control of neural prostheses.