A Modular, Smart, and Wearable System for High Density sEMG Detection

A low-power low-noise cmos for amplifier neural recording applications

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The Extraction of Neural Information from the Surface EMG for the Control of Upper-Limb Prostheses: Emerging Avenues and Challenges

Farina, D., Jiang, N., Rehbaum, H., Holobar, A., Graimann, B., Dietl, H., & Aszmann, O. C. (2014) · IEEE Transactions on Neural Systems and Rehabilitation Engineering · doi:10.1109/tnsre.2014.2305111 · Cited by 999 · see citing works

A low-power integrated circuit for a wireless 100-electrode neural recording system.

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Multichannel Blind Source Separation Using Convolution Kernel Compensation

Holobar, A., & Zazula, D. (2007) · IEEE Transactions on Signal Processing · doi:10.1109/tsp.2007.896108 · Cited by 651 · see citing works

Multi-channel intramuscular and surface EMG decomposition by convolutive blind source separation

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Gesture recognition by instantaneous surface EMG images

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Interpretation of EMG changes with fatigue: facts, pitfalls, and fallacies

Dimitrova, N. A., & Dimitrov, G. V. (2002) · Journal of Electromyography and Kinesiology · doi:10.1016/s1050-6411(02)00083-4 · Cited by 459 · see citing works

High-quality recording of bioelectric events

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High-quality recording of bioelectric events

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60-Hz Interference in Electrocardiography

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Decoding the neural drive to muscles from the surface electromyogram

Farina, D., Holobar, A., Merletti, R., & Enoka, R. M. (2010) · Clinical Neurophysiology · doi:10.1016/j.clinph.2009.10.040 · Cited by 383 · see citing works

Influence of anatomical, physical, and detection-system parameters on surface EMG

Farina, D., Cescon, C., & Merletti, R. (2002) · Biological cybernetics · doi:10.1007/s00422-002-0309-2 · Cited by 379 · see citing works

Interpretation of the Surface Electromyogram in Dynamic Contractions

Farina, D. (2006) · Exercise and Sport Sciences Reviews · doi:10.1249/00003677-200607000-00006 · Cited by 327 · see citing works

Clinical applications of high-density surface EMG: A systematic review

Drost, G., Stegeman, D. F., van Engelen, B. G. M., & Zwarts, M. J. (2006) · Journal of Electromyography and Kinesiology · doi:10.1016/j.jelekin.2006.09.005 · Cited by 311 · see citing works

The linear electrode array: a useful tool with many applications

Merletti, R., Farina, D., & Gazzoni, M. (2003) · Journal of Electromyography and Kinesiology · doi:10.1016/s1050-6411(02)00082-2 · Cited by 285 · see citing works

Characterization of Human Motor Units From Surface EMG Decomposition

Farina, D., & Holobar, A. (2016) · Proceedings of the IEEE · doi:10.1109/jproc.2015.2498665 · Cited by 222 · see citing works

Minimizing Electrode Motion Artifact by Skin Abrasion

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Principles of Motor Unit Physiology Evolve With Advances in Technology

Farina, D., Negro, F., Muceli, S., & Enoka, R. M. (2016) · Physiology · doi:10.1152/physiol.00040.2015 · Cited by 207 · see citing works

Reducing Motion Artifacts and Interference in Biopotential Recording

Webster, J. G. (1984) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.1984.325244 · Cited by 185 · see citing works

EMG-based simultaneous and proportional estimation of wrist/hand kinematics in uni-lateral trans-radial amputees

Jiang, N., Nielsen, J. L. G., Muceli, S., & Farina, D. (2012) · Journal of NeuroEngineering and Rehabilitation · doi:10.1186/1743-0003-9-42 · Cited by 181 · see citing works

A new method for the extraction and classification of single motor unit action potentials from surface EMG signals

Gazzoni, M., Farina, D., & Merletti, R. (2004) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2004.01.002 · Cited by 180 · see citing works

Advances in Surface EMG: Recent Progress in Detection and Processing Techniques

Merletti, R., Aventaggiato, M., Botter, A., Holobar, A., Marateb, H. R., & Vieira, T. (2010) · Critical Reviews in Biomedical Engineering · doi:10.1615/critrevbiomedeng.v38.i4.10 · Cited by 176 · see citing works

A thin, flexible multielectrode grid for high-density surface EMG

Lapatki, B. G., van Dijk, J., Jonas, I. E., et al. (2004) · Journal of Applied Physiology · doi:10.1152/japplphysiol.00521.2003 · Cited by 173 · see citing works

High-Density Myoelectric Pattern Recognition Toward Improved Stroke Rehabilitation

Zhang, X., & Zhou, P. (2012) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2012.2191551 · Cited by 169 · see citing works

Reduction of Interference Due to Common Mode Voltage in Biopotential Amplifiers

Winter, B. B., & Webster, J. G. (1983) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.1983.325167 · Cited by 166 · see citing works

Real-Time Motor Unit Identification From High-Density Surface EMG

Glaser, V., Holobar, A., & Zazula, D. (2013) · IEEE Transactions on Neural Systems and Rehabilitation Engineering · doi:10.1109/tnsre.2013.2247631 · Cited by 143 · see citing works

Using two-dimensional spatial information in decomposition of surface EMG signals

Kleine, B. U., van Dijk, J. P., Lapatki, B. G., Zwarts, M. J., & Stegeman, D. F. (2006) · Journal of Electromyography and Kinesiology · doi:10.1016/j.jelekin.2006.05.003 · Cited by 140 · see citing works

Selective activation of neuromuscular compartments within the human trapezius muscle

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High-density surface electromyography provides reliable estimates of motor unit behavior

Martinez‐Valdes, E., Laine, C. M., Falla, D., Mayer, F., & Farina, D. (2015) · Clinical Neurophysiology · doi:10.1016/j.clinph.2015.10.065 · Cited by 133 · see citing works

High density electromyography data of normally limbed and transradial amputee subjects for multifunction prosthetic control

Daley, H., Englehart, K. B., Hargrove, L. J., & Kuruganti, U. (2012) · Journal of Electromyography and Kinesiology · doi:10.1016/j.jelekin.2011.12.012 · Cited by 132 · see citing works

Surface EMG mapping of the human trapezius muscle: the topography of monopolar and bipolar surface EMG amplitude and spectrum parameters at varied forces and in fatigue

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Heterogeneity of muscle activation in relation to force direction: A multi-channel surface electromyography study on the triceps surae muscle

Staudenmann, D., Kingma, I., Daffertshofer, A., et al. (2008) · Journal of Electromyography and Kinesiology · doi:10.1016/j.jelekin.2008.04.013 · Cited by 112 · see citing works

Advances in Surface EMG: Recent Progress in Clinical Research Applications

Merletti, R., Botter, A., Cescon, C., et al. (2010) · Critical Reviews in Biomedical Engineering · doi:10.1615/critrevbiomedeng.v38.i4.20 · Cited by 109 · see citing works

Examination of Poststroke Alteration in Motor Unit Firing Behavior Using High-Density Surface EMG Decomposition

Li, X., Holobar, A., Gazzoni, M., Merletti, R., Rymer, W. Z., & Zhou, P. (2014) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2014.2368514 · Cited by 107 · see citing works

Mitochondrial dysfunction and neuromuscular disease

Nardin, R. A., & Johns, D. R. (2001) · Muscle & Nerve · doi:10.1002/1097-4598(200102)24:2 · Cited by 100 · see citing works

High-density Surface EMG: Techniques and Applications at a Motor Unit Level

Stegeman Dick, F., Kleine Bert, U., Lapatki Bernd, G., et al. (2012) · Journal of Applied Biomedicine · doi:10.1016/s0208-5216(12)70039-6 · Cited by 99 · see citing works

Botulinum toxin has an increased effect when targeted toward the muscle’s endplate zone: A high-density surface EMG guided study

Lapatki, B. G., van Dijk, J. P., van de Warrenburg, B. P. C., et al. (2010) · Clinical Neurophysiology · doi:10.1016/j.clinph.2010.11.018 · Cited by 85 · see citing works

Quantifying Forearm Muscle Activity during Wrist and Finger Movements by Means of Multi-Channel Electromyography

Gazzoni, M., Celadon, N., Mastrapasqua, D., Paleari, M., Margaria, V., & Ariano, P. (2014) · PLoS ONE · doi:10.1371/journal.pone.0109943 · Cited by 84 · see citing works

Myoelectric activity along human gastrocnemius medialis: Different spatial distributions of postural and electrically elicited surface potentials

Hodson-Tole, E. F., Loram, I. D., & Vieira, T. (2012) · Journal of Electromyography and Kinesiology · doi:10.1016/j.jelekin.2012.08.003 · Cited by 72 · see citing works

A surface electrode array for detecting action potential trains of single motor units

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Reflections on the present and future of upper limb prostheses

Farina, D., & Amsuess, S. (2016) · Expert Review of Medical Devices · doi:10.1586/17434440.2016.1159511 · Cited by 65 · see citing works

Uneven spatial distribution of surface EMG: what does it mean?

Gallina, A., Merletti, R., & Gazzoni, M. (2012) · European Journal of Applied Physiology · doi:10.1007/s00421-012-2498-2 · Cited by 62 · see citing works

A new method to assess skin treatments for lowering the impedance and noise of individual gelled Ag–AgCl electrodes

Piervirgili, G., Petracca, F., & Merletti, R. (2014) · Physiological Measurement · doi:10.1088/0967-3334/35/10/2101 · Cited by 61 · see citing works

Specificity of surface EMG recordings for gastrocnemius during upright standing

Vieira, T., Botter, A., Muceli, S., et al. (2017) · Scientific Reports · doi:10.1038/s41598-017-13369-1 · Cited by 54 · see citing works

Real-Time and Offline Performance of Pattern Recognition Myoelectric Control Using a Generic Electrode Grid With Targeted Muscle Reinnervation Patients

Tkach, D. C., Young, A. J., Smith, L. H., Rouse, E. J., & Hargrove, L. J. (2014) · IEEE Transactions on Neural Systems and Rehabilitation Engineering · doi:10.1109/tnsre.2014.2302799 · Cited by 52 · see citing works

Territory and fiber orientation of vastus medialis motor units: A Surface electromyography investigation

Gallina, A., & Vieira, T. (2015) · Muscle & Nerve · doi:10.1002/mus.24662 · Cited by 40 · see citing works

Muscle imaging: Mapping responses to transcranial magnetic stimulation with high-density surface electromyography

van Elswijk, G., Kleine, B. U., Overeem, S., et al. (2007) · Cortex · doi:10.1016/j.cortex.2007.07.003 · Cited by 39 · see citing works

A high-resolution large array (HRLA) surface EMG system

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Analysis of linear electrode array EMG for assessment of hemiparetic biceps brachii muscles

Yao, B., Zhang, X., Li, S., et al. (2015) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2015.00569 · Cited by 37 · see citing works

Region-specific myoelectric manifestations of fatigue in human rectus femoris muscle

Watanabe, K., Kouzaki, M., & Moritani, T. (2012) · Muscle & Nerve · doi:10.1002/mus.23739 · Cited by 35 · see citing works

Sixty-four channel wearable acquisition system for long-term surface electromyogram recording with electrode arrays

Pozzo, M., Bottin, A., Ferrabone, R., & Merletti, R. (2004) · Medical & Biological Engineering & Computing · doi:10.1007/bf02350986 · Cited by 34 · see citing works

A Practical Approach to Electrode-Skin Impedance Unbalance Measurement

Spinelli, E. M., Mayosky, M. A., & Pallas-Areny, R. (2006) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2006.875714 · Cited by 34 · see citing works

Regional neuromuscular regulation within human rectus femoris muscle during gait in young and elderly men

Watanabe, K., Kouzaki, M., & Moritani, T. (2015) · Journal of Biomechanics · doi:10.1016/j.jbiomech.2015.11.010 · Cited by 31 · see citing works

Design of a Portable, Intrinsically Safe Multichannel Acquisition System for High-Resolution, Real-Time Processing HD-sEMG

Barone, U., & Merletti, R. (2013) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2013.2252346 · Cited by 29 · see citing works

Do surface electromyograms provide physiological estimates of conduction velocity from the medial gastrocnemius muscle?

Gallina, A., Ritzel, C. H., Merletti, R., & Vieira, T. (2012) · Journal of Electromyography and Kinesiology · doi:10.1016/j.jelekin.2012.11.007 · Cited by 24 · see citing works

Spatial distribution of surface EMG on trapezius and lumbar muscles of violin and cello players in single note playing

Afsharipour, B., Petracca, F., Gasparini, M., et al. (2016) · Journal of Electromyography and Kinesiology · doi:10.1016/j.jelekin.2016.10.003 · Cited by 23 · see citing works

Optimization of surface electrodes location for H-reflex recordings in soleus muscle

Botter, A., & Vieira, T. (2017) · Journal of Electromyography and Kinesiology · doi:10.1016/j.jelekin.2017.03.003 · Cited by 23 · see citing works

High-density surface electromyography improves the identification of oscillatory synaptic inputs to motoneurons

van de Steeg, C., Daffertshofer, A., Stegeman, D. F., et al. (2014) · Journal of Applied Physiology · doi:10.1152/japplphysiol.01092.2013 · Cited by 21 · see citing works

Selectivity of conventional electrodes for recording motor evoked potentials: An investigation with high‐density surface electromyography

Gallina, A., Peters, S., Neva, J. L., et al. (2016) · Muscle & Nerve · doi:10.1002/mus.25412 · Cited by 19 · see citing works

Movement artefact suppressor during ECG monitoring

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On Correlation Between the Neural Drive to Muscles and Multichannel Surface Electromyogram Amplitudes

Karlatec, D., & Holobar, A. (2016) · Biosystems & biorobotics · doi:10.1007/978-3-319-46669-9_220 · Cited by 3 · see citing works

The peripheral origin of tap-induced muscle contraction revealed by multi-electrode surface electromyography in human vastus medialis

Botter, A., Vieira, T. M., Geri, T., & Roatta, S. (2020) · Scientific Reports · doi:10.1038/s41598-020-59122-z · Cited by 4 · see citing works

DETERMINING QUALITY REQUIREMENTS AT THE UNIVERSITIES TO IMPROVE THE QUALITY OF EDUCATION

Mustafa, N. H., Kelesbayev, D., & Alibekova, Z. D. (2018) · The Journal of Economic Research & Business Administration · doi:10.26577/be-2018-2-2141

OS Subset Structure Achieving AP Portability

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The pitfalls of portability . . or . . why more is not better

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Standardization -portability of crystallographic data

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Algorithm and Software Overhead: A Theoretical Approach to Performance Portability

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