From: Assessment of muscle activity using electrical stimulation and mechanomyography: a systematic review
Authors | Sensor and electrode type | Electrode site | Dataset | Methodology | Results and discussion | ||
---|---|---|---|---|---|---|---|
Study 1: analysis of torque and MMG fluctuations at various joint angles | |||||||
[63] | Triaxal accelerometer-based MMG sensor (WAX3, Axivity, Newcastle upon Tyne, UK) | Erector spinae of the forearm and wrist flexors | 5 male and 3 female subjects, age 22.9 ± 2 years, height 1.8 ± 0.1 m, weight 69.8 ± 14.9 kg | Pulses of 25 to 35 mA at pulse durations/intervals of 200/50 µs were delivered, and the muscle twitch contraction was measured. The endurance protocol consisted of 2 Hz, 4 Hz, and 6 Hz (3 min each) with 5 s of no stimulation between each stage | The EI values were reasonably reproducible, particularly those obtained with the 2- and 4-Hz stimulations | ||
Remark: in young healthy individuals, the erector spinae muscle has a lower endurance index than the leg muscles | |||||||
Future work: the experiment was conducted on young healthy subjects; thus, the application of the system for evaluating lower back pain in the healthy population should be investigated | |||||||
Study 2: analysis of the effect of exercise on endurance | |||||||
[62] | Accelerometer-based MMG sensor | GM | 56-year-old female with muscle sclerosis | A 3-min, 2-, 4- and 6-Hz stimulation signal was applied, and the endurance index was determined as the percentage of the acceleration at the last stage of the stimulation frequency relative to the peak accelerometer records | The walking endurance and oxidative capacity were improved | ||
Future works: | |||||||
1. The effect of voluntary exercises on muscle plasticity and the role of muscle oxidative capacity on assisting individuals with MS should be evaluated | |||||||
2. The use of a large sample size for examining the role of muscle plasticity to improve the walking function in people with MS should be investigated | |||||||
Study 3: evaluation of rider time and virtual distance in SCI | |||||||
[64] | ES: two self-adhesive surface electrodes (oval, 2″ × 4″); MMG: accelerometers (Entran EGAS, weight = 1 g, 2–150 Hz, gain of 25) | VM, RF and VL | 12 SCI subjects, mean age 37 years, height 1.8 m, mass 80.6 kg | An electrical stimulation of 50 Hz for 500 µs was increased to a current of 140 mA to maintain a cadence of 32 RPM over 0.4 s and applied every 1.88 s | An improved electrically activated cycling alternated the activity of synergistic muscles in SCI, and different RMS values of MMG signals were obtained from all the muscles | ||
Remark: the MMG amplitude decreased due to muscle fatigue and the virtual distance, and both the stimulation and co-activation protocols yielded the same mechanical output | |||||||
Future work: the use of improved stimulation techniques to evaluate improvements during a longer training practice without an external rider should be evaluated | |||||||
Study 4: analysis of endurance and feelings of fatigue in FRDA | |||||||
[65] | MMG: tri-axial accelerometer (WAX-9; Axivity, UK); ES: electrodes (5.08Â cm by 10.16Â cm, Pro Advantage by NDC) | Forearm flexor | 10 healthy subjects, 16 FRDA subjects | The forearm flexor muscles were stimulated with 3Â min of ES at 2, 4, and 6Â Hz with a 5-s rest between stages | A correlation was found among the mitochondrial capacity, disease severity and muscle-specific endurance | ||
Remark: people affected by FRDA exhibit lower forearm muscle endurance than ABs | |||||||
Future work: MMG and NIRS measurement methods are correlated with disease severity, and this correlation should be further investigated |