Literature DB >> 33419283

EMG Characterization and Processing in Production Engineering.

Manuel Del Olmo1, Rosario Domingo1.   

Abstract

Electromyography (EMG) signals are biomedical signals that measure electrical currents generated during muscle contraction. These signals are strongly influenced by physiological and anatomical characteristics of the muscles and represent the neuromuscular activities of the human body. The evolution of EMG analysis and acquisition techniques makes this technology more reliable for production engineering applications, overcoming some of its inherent issues. Taking as an example, the fatigue monitoring of workers as well as enriched human-machine interaction (HMI) systems used in collaborative tasks are now possible with this technology. The main objective of this research is to evaluate the current implementation of EMG technology within production engineering, its weaknesses, opportunities, and synergies with other technologies, with the aim of developing more natural and efficient HMI systems that could improve the safety and productivity within production environments.

Entities:  

Keywords:  EMG; ergonomics; human-machine interaction; monitoring; production engineering

Year:  2020        PMID: 33419283      PMCID: PMC7766856          DOI: 10.3390/ma13245815

Source DB:  PubMed          Journal:  Materials (Basel)        ISSN: 1996-1944            Impact factor:   3.623


  40 in total

1.  EMG signal decomposition: how can it be accomplished and used?

Authors:  D Stashuk
Journal:  J Electromyogr Kinesiol       Date:  2001-06       Impact factor: 2.368

2.  Filtering the surface EMG signal: Movement artifact and baseline noise contamination.

Authors:  Carlo J De Luca; L Donald Gilmore; Mikhail Kuznetsov; Serge H Roy
Journal:  J Biomech       Date:  2010-03-05       Impact factor: 2.712

3.  Influence of a passive lower-limb exoskeleton during simulated industrial work tasks on physical load, upper body posture, postural control and discomfort.

Authors:  Tessy Luger; Robert Seibt; Timothy J Cobb; Monika A Rieger; Benjamin Steinhilber
Journal:  Appl Ergon       Date:  2019-05-30       Impact factor: 3.661

4.  Upper Extremity Muscle Activity During In-Phase and Anti-Phase Continuous Pushing Tasks.

Authors:  Kristina M Gruevski; Joanne N Hodder; Peter J Keir
Journal:  Hum Factors       Date:  2017-06-12       Impact factor: 2.888

5.  An EEG-EMG correlation-based brain-computer interface for hand orthosis supported neuro-rehabilitation.

Authors:  Anirban Chowdhury; Haider Raza; Yogesh Kumar Meena; Ashish Dutta; Girijesh Prasad
Journal:  J Neurosci Methods       Date:  2018-11-16       Impact factor: 2.390

6.  The effects of a passive exoskeleton on muscle activity, discomfort and endurance time in forward bending work.

Authors:  Tim Bosch; Jennifer van Eck; Karlijn Knitel; Michiel de Looze
Journal:  Appl Ergon       Date:  2016-01-15       Impact factor: 3.661

7.  Detection of mental fatigue state with wearable ECG devices.

Authors:  Shitong Huang; Jia Li; Pengzhu Zhang; Weiqiang Zhang
Journal:  Int J Med Inform       Date:  2018-09-05       Impact factor: 4.046

8.  A Real-Time Lift Detection Strategy for a Hip Exoskeleton.

Authors:  Baojun Chen; Lorenzo Grazi; Francesco Lanotte; Nicola Vitiello; Simona Crea
Journal:  Front Neurorobot       Date:  2018-04-12       Impact factor: 2.650

Review 9.  State-of-the-art in artificial neural network applications: A survey.

Authors:  Oludare Isaac Abiodun; Aman Jantan; Abiodun Esther Omolara; Kemi Victoria Dada; Nachaat AbdElatif Mohamed; Humaira Arshad
Journal:  Heliyon       Date:  2018-11-23

10.  Adhesive, Transparent Tannic Acid@ Sulfonated Lignin-PAM Ionic Conductive Hydrogel Electrode with Anti-UV, Antibacterial and Mild Antioxidant Function.

Authors:  Qinhua Wang; Hui Zhang; Xiaofeng Pan; Xiaojuan Ma; Shilin Cao; Yonghao Ni
Journal:  Materials (Basel)       Date:  2019-12-10       Impact factor: 3.623

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  1 in total

1.  Human Motion Pattern Recognition and Feature Extraction: An Approach Using Multi-Information Fusion.

Authors:  Xin Li; Jinkang Liu; Yijing Huang; Donghao Wang; Yang Miao
Journal:  Micromachines (Basel)       Date:  2022-07-29       Impact factor: 3.523

  1 in total

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