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Dario Farina
Imperial College London
ElectromyographyMotor unitComputer scienceMedicinePhysical medicine and rehabilitation
910Publications
80H-index
22.7kCitations
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Abstract The general purpose of normalization of EMG amplitude is to enable comparisons between participants, muscles, measurement sessions or electrode positions. Normalization is necessary to reduce the impact of differences in physiological and anatomical characteristics of muscles and surrounding tissues. Normalization of the EMG amplitude provides information about the magnitude of muscle activation relative to a reference value. It is essential to select an appropriate method for normaliza...
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#1Stefano Nuccio (Imperial College London)
#1Stefano Nuccio (Sapienza University of Rome)H-Index: 1
Last. Dario Farina (Imperial College London)H-Index: 80
view all 11 authors...
The neural factors underlying the persistency of quadriceps weakness after anterior cruciate ligament reconstruction (ACLR) have been only partially explained. This study examined muscle fiber conduction velocity (MFCV) as an indirect parameter of motor unit recruitment strategies in the vastus lateralis (VL) and medialis (VM) muscles of soccer players with ACLR. High-density surface electromyography (HDsEMG) was acquired from VL and VM in nine soccer players (22.7 ± 2.9 years; BMI: 22.08 ± 1.72...
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#1Siming ZuoH-Index: 2
#2Hadi HeidariH-Index: 14
Last. Kianoush NazarpourH-Index: 18
view all 4 authors...
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#1Tianyi YuH-Index: 2
#2Konstantin Akhmadeev (University of Nantes)H-Index: 2
Last. Dario Farina (Imperial College London)H-Index: 80
view all 5 authors...
Objective: Real-time intramuscular electromyogra-phy (iEMG) decomposition, which is needed in biofeedback studies and interfacing applications, is a complex procedure that involves identifying the motor neuron spike trains from a streaming iEMG recording. Methods: We have previously proposed a sequential decomposition algorithm based on a Hidden Markov Model of EMG, which used Bayesian filter to estimate unknown parameters of motor unit (MU) spike trains, as well as their action potentials (MUAP...
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: Electromyography (EMG) is a source of neural information for controlling neuroprosthetic devices. To enhance the information content of conventional bipolar EMG, highdensity EMG systems include tens to hundreds of closely spaced electrodes that non-invasively record the electrical activity of muscles with high spatial resolution. Despite the advantages of relying on multiple signal sources, however, variations in electrodeskin contact impedance and noise remain challenging for multichannel myo...
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#1A. Del Vecchio (Imperial College London)H-Index: 5
#2Ales Holobar (University of Maribor)H-Index: 26
Last. Dario Farina (Imperial College London)H-Index: 80
view all 6 authors...
Abstract Recent work demonstrated that it is possible to identify motor unit discharge times from high-density surface EMG (HDEMG) decomposition. Since then, the number of studies that use HDEMG decomposition for motor unit investigations has increased considerably. Although HDEMG decomposition is a semi-automatic process, the analysis and interpretation of the motor unit pulse trains requires a thorough inspection of the output of the decomposition result. Here, we report guidelines to perform ...
1 CitationsSource
#1Susan Aliakbaryhosseinabadi (AAU: Aalborg University)H-Index: 6
#2Dario Farina (Imperial College London)H-Index: 80
Last. Natalie Mrachacz-Kersting (Information Technology University)H-Index: 20
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The performance of brain-computer interface (BCI) systems is influenced by the user's mental state, such as attention diversion. In this study, we propose a novel online BCI system able to adapt with variations in the users' attention during real-time movement execution. Electroencephalography (EEG) signals were recorded from healthy participants and patients with Amyotrophic Lateral Sclerosis (ALS) while attention to the target task (a dorsiflexion movement) was drifted using an auditory oddbal...
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#1Siming ZuoH-Index: 2
#2Hadi HeidariH-Index: 14
Last. Kianoush NazarpourH-Index: 18
view all 4 authors...
Magnetism‐based systems are widely utilized for sensing and imaging biological phenomena, for example, the activity of the brain and the heart. Magnetomyography (MMG) is the study of muscle function through the inquiry of the magnetic signal that a muscle generates when contracted. Within the last few decades, extensive effort has been invested to identify, characterize and quantify the magnetomyogram signals. However, it is still far from a miniaturized, sensitive, inexpensive and low‐power MMG...
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#1Chen ChenH-Index: 1
#2Shihan MaH-Index: 1
Last. Xiangyang ZhuH-Index: 26
view all 5 authors...
OBJECTIVE: Estimation of the discharge pattern of motor units by electromyography (EMG) decomposition has been applied for neurophysiologic investigations, clinical diagnosis, and human-machine interfacing. However, most of the methods for EMG decomposition are currently applied offline. Here, we propose an approach for high-density surface EMG decomposition in real-time. METHODS: A real-time decomposition scheme including two sessions, offline training and online decomposition, is proposed base...
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