2019 Fifth International Conference on Advances in Biomedical Engineering (ICABME) 2019
DOI: 10.1109/icabme47164.2019.8940263
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Neuromotor Strategy of Gait Rehabilitation for Lower-Limb Spasticity

Abstract: Assisting users and restoring human locomotion for patients with lower limb spasticity is a challenging task. Studies focusing on patients with abnormal walking behavior are scarce because there is an important variability from one patient to another. Those patients could benefit the most from rehabilitation and assistive mechatronic devices, there is no generic controlling scheme or any dynamical gain indicator. This contribution introduces a bio-kinematic index which is called Neuro-motor index (NMI), based … Show more

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Cited by 2 publications
(4 citation statements)
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“…A movement was considered to begin when the marker velocity first became greater than 5% of the peak velocity and was considered to end after the speed dropped and remained below the 5% threshold again. Raw EMG signals were band-pass filtered (10-400 Hz, 2nd order), full wave rectified and then low-pass filtered (4 Hz, 4th order) in order to obtain the EMG linear envelopes [33]. Finally, all data were timenormalized to 100% of the movement duration and then, in order to not alter the variability in EMG, the EMG linear envelopes of each muscle was amplitudenormalized to their maximum value obtained across recorded different tasks [34,35], thus also taking into…”
Section: Methodsmentioning
confidence: 99%
“…A movement was considered to begin when the marker velocity first became greater than 5% of the peak velocity and was considered to end after the speed dropped and remained below the 5% threshold again. Raw EMG signals were band-pass filtered (10-400 Hz, 2nd order), full wave rectified and then low-pass filtered (4 Hz, 4th order) in order to obtain the EMG linear envelopes [33]. Finally, all data were timenormalized to 100% of the movement duration and then, in order to not alter the variability in EMG, the EMG linear envelopes of each muscle was amplitudenormalized to their maximum value obtained across recorded different tasks [34,35], thus also taking into…”
Section: Methodsmentioning
confidence: 99%
“…The instants of initiation and termination of each repetition of the object pacing task were computed as the times at which the velocity of the hand marker exceeded or fell below a threshold of 5% of the maximum value [1,2]. Raw sEMG signals (examples reported in Figure 1C,D) were band-pass filtered (10-400 Hz, 2nd order Butterworth), full-wave rectified and then low-pass filtered (4 Hz, 4th order Butterworth) in order to obtain the sEMG linear envelopes [24]. The sEMG linear envelopes were time-normalized to 100% of the movement duration, and then, to preserve the variability in sEMG, the signal of each muscle was amplitude-normalized to their maximum peak value obtained on all the recorded tasks [30].…”
Section: Instrumented Assessmentmentioning
confidence: 99%
“…In this expression (Equation ( 1)), proposed by Frost in 1997, A ij (t) represents the overlapping activity of the muscles i and j in the sEMG envelopes, while T represents the task duration of the signal (Figure 1E,F) [4,13,[24][25][26]. The CCI ranges from 0 to 1 (dimensionless value (um)), where 0 indicates that the activities of the two muscles did not overlap at all during the task, while 1 indicates that the activities of the two muscles were fully overlapping, and the level of sEMG activity was maintained at 1 during the task [4,25].…”
Section: Computationmentioning
confidence: 99%
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