Surface EMG signals based motion intent recognition using multi-layer ELM

The workshop program of the Association for the Advancement of Artificial Intelligence’s 33rd Conference on Artificial Intelligence (AAAI-19) was held in Honolulu, Hawaii, on Sunday and Monday, January 27–28, 2019. There were fifteen workshops in the program: Affective Content Analysis: Modeling Affect-in-Action, Agile Robotics for Industrial Automation Competition, Artificial Intelligence for Cyber Security, Artificial Intelligence Safety, Dialog System Technology Challenge, Engineering Dependable and Secure Machine Learning Systems, Games and Simulations for Artificial Intelligence, Health Intelligence, Knowledge Extraction from Games, Network Interpretability for Deep Learning, Plan, Activity, and Intent Recognition, Reasoning and Learning for Human-Machine Dialogues, Reasoning for Complex Question Answering, Recommender Systems Meet Natural Language Processing, Reinforcement Learning in Games, and Reproducible AI. This report contains brief summaries of the all the workshops that were held.

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Analysis of the difference between the area of the cross section area and the surface EMG and the Maximum muscle strength according to the presence of the patellofemoral pain syndrome

Korean Journal of Sports Science ◽

10.35159/kjss.2020.02.29.1.803 ◽

2020 ◽

Vol 29 (1) ◽

pp. 803-811

Author(s):

Wan-Ki Hong ◽

Cheol-Hee Park

Keyword(s):

Muscle Strength ◽

Cross Section ◽

Pain Syndrome ◽

Patellofemoral Pain Syndrome ◽

Surface Emg ◽

Patellofemoral Pain ◽

Cross Section Area ◽

Section Area ◽

The Cross ◽

The Difference

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Kinematic Analysis of Biathlon Using Surface EMG : Case Study

Korean Journal of Sports Science ◽

10.35159/kjss.2018.10.27.5.1469 ◽

2018 ◽

Vol 27 (5) ◽

pp. 1469-1476

Author(s):

An-Sik Heo ◽

Jung-Chul Lee ◽

Jae-Young Park

Keyword(s):

Kinematic Analysis ◽

Surface Emg

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Reliability of diaphragmatic motor-evoked potentials induced by transcranial magnetic stimulation

Journal of Applied Physiology ◽

10.1152/japplphysiol.00486.2020 ◽

2020 ◽

Vol 129 (6) ◽

pp. 1393-1404

Author(s):

Joseph F. Welch ◽

Patrick J. Argento ◽

Gordon S. Mitchell ◽

Emily J. Fox

Keyword(s):

Transcranial Magnetic Stimulation ◽

Evoked Potentials ◽

Magnetic Stimulation ◽

Motor Evoked Potentials ◽

Surface Emg ◽

Noninvasive Technique ◽

Large Variability ◽

Adult Men ◽

Latency Duration ◽

Excellent Reproducibility

Transcranial magnetic stimulation (TMS) is a noninvasive technique to assess neural impulse conduction along the cortico-diaphragmatic pathway. The reliability of diaphragm motor-evoked potentials (MEP) induced by TMS is unknown. Notwithstanding large variability in MEP amplitude, we found good-to-excellent reproducibility of all MEP characteristics (latency, duration, amplitude, and area) both within- and between-day in healthy adult men and women. Our findings support the use of TMS and surface EMG to assess diaphragm activation in humans.

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Amplitude cancellation reduces the size of motor unit potentials averaged from the surface EMG

Journal of Applied Physiology ◽

10.1152/japplphysiol.01282.2005 ◽

2006 ◽

Vol 100 (6) ◽

pp. 1928-1937 ◽

Cited By ~ 78

Author(s):

Kevin G. Keenan ◽

Dario Farina ◽

Roberto Merletti ◽

Roger M. Enoka

Keyword(s):

Motor Unit ◽

Conduction Velocity ◽

Motor Units ◽

Surface Emg ◽

Excitation Level ◽

Bipolar Electrode ◽

Emg Signal ◽

Motor Unit Synchronization ◽

Rate Coding ◽

Simulated Surface

The purpose of the study was to evaluate the influence of selected physiological parameters on amplitude cancellation in the simulated surface electromyogram (EMG) and the consequences for spike-triggered averages of motor unit potentials derived from the interference and rectified EMG signals. The surface EMG was simulated from prescribed recruitment and rate coding characteristics of a motor unit population. The potentials of the motor units were detected on the skin over a hand muscle with a bipolar electrode configuration. Averages derived from the EMG signal were generated using the discharge times for each of the 24 motor units with lowest recruitment thresholds from a population of 120 across three conditions: 1) excitation level; 2) motor unit conduction velocity; and 3) motor unit synchronization. The area of the surface-detected potential was compared with potentials averaged from the interference, rectified, and no-cancellation EMGs. The no-cancellation EMG comprised motor unit potentials that were rectified before they were summed, thereby preventing cancellation between the opposite phases of the potentials. The percent decrease in area of potentials extracted from the rectified EMG was linearly related to the amount of amplitude cancellation in the interference EMG signal, with the amount of cancellation influenced by variation in excitation level and motor unit conduction velocity. Motor unit synchronization increased potentials derived from both the rectified and interference EMG signals, although cancellation limited the increase in area for both potentials. These findings document the influence of amplitude cancellation on motor unit potentials averaged from the surface EMG and the consequences for using the procedure to characterize motor unit properties.

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Association between Oxygen Consumption and Surface Electromyographic Amplitude and Its Variation within Individual Calf Muscles during Walking at Various Speeds

Sensors ◽

10.3390/s21051748 ◽

2021 ◽

Vol 21 (5) ◽

pp. 1748

Author(s):

Kohei Watanabe ◽

Shideh Narouei

Keyword(s):

Oxygen Consumption ◽

Spatial Variation ◽

Metabolic Response ◽

Correlation Coefficients ◽

Surface Emg ◽

Medial Gastrocnemius ◽

Whole Body ◽

Young Males ◽

Emg Amplitude ◽

Calf Muscles

Surface electromyography (EMG) has been used to estimate muscle work and physiological burden of the whole body during human movements. However, there are spatial variations in surface EMG responses within individual muscles. The aim of this study was to investigate the relation between oxygen consumption and surface EMG responses of lower leg muscles during walking at various speeds and to quantify its spatial variation within an individual muscle. Nine young males walked on a treadmill at four speeds: preferred minus 1 km/h, preferred, preferred plus 1 km/h, and preferred plus 2 km/h, and the metabolic response was measured based on the expired gas. High-density surface EMG of the tibialis anterior (TA), medial gastrocnemius (MG), lateral gastrocnemius, and soleus muscles was performed using 64 two-dimensional electrode grids. Correlation coefficients between oxygen consumption and the surface EMG amplitude were calculated across the gait speeds for each channel in the electrode grid and for individual muscles. Mean correlation coefficients across electrodes were 0.69–0.87 for the four individual muscles, and the spatial variation of correlation between the surface EMG amplitude and oxygen consumption within an electrode grid was significantly greater in MG muscle than in TA muscle (Quartile deviations: 0.24 for MG and 0.02 for TA, p < 0.05). These results suggest that the physiological burden of the whole body during gait at various speeds can be estimated from the surface EMG amplitude of calf muscles, but we need to note its spatial distribution within the MG muscle.

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