Effect of gait cycle selection on EMG analysis during walking in adults and children with gait pathology

Multiple gait patterns within the same Winters class in children with hemiplegic cerebral palsy

“…Foot contact event detection is usually limited to initial contact and toe-off (De Stefano et al, 2004;Desailly et al, 2009). However, this kind of gait timing does not allow for distinguishing between type I and II.…”

“…Sometimes the analysis is carried out selecting "clean hits" obtained from the force plate or by using pressure footswitches. The work by De Stefano et al (2004) proposed (automatic and semi-automatic) methods as an alternative to the more traditional manual segmentation, and analyzed how the gait cycle selection affects the EMG analysis. They found that, in CP children, the segmentation method used for gait cycle selection has a major influence in the study of the EMG signal.…”

“…the identification of the start and end of individual gait cycle. Frequently, in the clinical environment the EMG signal is segmented manually (De Stefano et al, 2004). However, this segmentation is dependent on the subjective judgment of the operator and even very experienced users may lack repeatability (De Stefano et al, 2004).…”

Generating gait pattern of myoelectric active ankle prosthesis

“…When using conventional prostheses, people with transtibial amputation typically require 10-30% more metabolic energy to walk at the same speeds as non-amputees and this metabolic discrepancy becomes more pronounced at faster walking speeds. A greater metabolic demand implies that amputees fatigue sooner and more often, and are not able to sustain the same walking speeds as non amputees [1] [2]. Therefore it is not surprising that amputees preferred walking speeds are typically 30-40% slower than non amputees [3], [11]- [13].…”

Multichannel fused EMG based biofeedback system with virtual reality for gait rehabilitation

“…Action potentials are given off by each of the motor units activated during a given contraction. The timing and intensity of the EMG during a phase or the entire gait cycle can tell us a lot about neurological control and muscle weakness [1].Temporal and spatial parameters such as stride length, cadence [2], [3], and the timing of stance and swing periods are commonly recorded along with EMG to describe, classify or identify normal and pathological gait. Surface Electromyogram (SEMG), which represents activation states of muscles, has been widely used in muscle strength measurement, rehabilitation, torque relation and human-robot interaction because of non-invasiveness and easiness.…”