Detection of movement onset using EMG signals for upper-limb exoskeletons in reaching tasks

Background To assist people with disabilities, exoskeletons must be provided with human-robot interfaces and smart algorithms capable to identify the user’s movement intentions. Surface electromyographic (sEMG) signals could be suitable for this purpose, but their applicability in shared control sch...

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Vydané v:	Journal of neuroengineering and rehabilitation Ročník 16; číslo 1; s. 45 - 16
Hlavní autori:	Trigili, Emilio, Grazi, Lorenzo, Crea, Simona, Accogli, Alessandro, Carpaneto, Jacopo, Micera, Silvestro, Vitiello, Nicola, Panarese, Alessandro
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	London BioMed Central 29.03.2019 BioMed Central Ltd Springer Nature B.V BMC
Predmet:	Adult Algorithms Analysis Arm Biomedical and Life Sciences Biomedical Engineering and Bioengineering Biomedicine Calibration Computation Computer applications Data processing Detection equipment Diagnosis Disabilities Disabled persons Elbow Electrodes Electroencephalography Electromyography Electromyography - methods Exoskeleton Exoskeleton Device Exoskeletons Feasibility studies Feature extraction Female Human-computer interaction Human-robot interface Humans Information theory Interfaces Latency Learning algorithms LEDs Machine Learning Male Man-machine interfaces Motion detection Motion perception Movement Movement - physiology Muscles Neurology Neurosciences Onset detection People with disabilities Principal components analysis Probabilistic models Probability distributions Real time operation Rehabilitation Medicine Risk factors Robots Sensitivity Sensitivity analysis Sensors Signal processing Test procedures Upper Extremity - physiology Upper-limb exoskeleton Human-robot interface Electromyography Onset detection Upper-limb exoskeleton
ISSN:	1743-0003, 1743-0003
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