Techniques of EMG signal analysis: detection, processing, classification and applications

Electromyography (EMG) signals can be used for clinical/biomedical applications, Evolvable Hardware Chip (EHW) development, and modern human computer interaction. EMG signals acquired from muscles require advanced methods for detection, decomposition, processing, and classification. The purpose of this paper is to illustrate the various methodologies and algorithms for EMG signal analysis to provide efficient and effective ways of understanding the signal and its nature. We further point up some of the hardware implementations using EMG focusing on applications related to prosthetic hand control, grasp recognition, and human computer interaction. A comparison study is also given to show performance of various EMG signal analysis methods. This paper provides researchers a good understanding of EMG signal and its analysis procedures. This knowledge will help them develop more powerful, flexible, and efficient applications

A Review of Non-Invasive Techniques to Detect and Predict Localised Muscle Fatigue

Muscle fatigue is an established area of research and various types of muscle fatigue have been investigated in order to fully understand the condition. This paper gives an overview of the various non-invasive techniques available for use in automated fatigue detection, such as mechanomyography, electromyography, near-infrared spectroscopy and ultrasound for both isometric and non-isometric contractions. Various signal analysis methods are compared by illustrating their applicability in real-time settings. This paper will be of interest to researchers who wish to select the most appropriate methodology for research on muscle fatigue detection or prediction, or for the development of devices that can be used in, e.g., sports scenarios to improve performance or prevent injury. To date, research on localised muscle fatigue focuses mainly on the clinical side. There is very little research carried out on the implementation of detecting/predicting fatigue using an autonomous system, although recent research on automating the process of localised muscle fatigue detection/prediction shows promising results

A. H. Maslows Lehre von der Bedürfnishierarchie und Bedürfnisentwicklung | Überlegungen zu ihrem Inhalt und Erkennitniswert

Inspite of the respect that Maslow's theory enjoys in the fields of organization- psychology and consume-research, there are differences of opinion on his perception value and of his theory of motivation and development. The majority of criticism is directed at Maslow's empty formula-type concept and his individualistic conception of self-realisation. Added to this, the results of selected empirical studies with regard to the measurement of needs, would appear to indicate a limitation of the value of his theory for explanation and prognosis. Although empirical evidence for the motive of self-development as the supreme need was found in a study carried out at management level, empirical evidence was not forthcoming for Maslow's five-part classification of basic needs. Varying empirical results have been found for the perception value of hierarchical structures and the sequence of needs. The criticism of Maslow's theory of a naturalistic system of values is directed basically against methodological essentialism, at Maslow's scientific concept and thus at his claim to be able, with the aid of his theory, to overcome the division between statements of what is and what should be

Ursprung und Bedeutung der Ortsnamen im Stadtkreise Breslau

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Hit the thumb jack! using electromyography to augment the piano keyboard

Improvising on the piano keyboard requires extensive skill development, which may reduce the feeling of immersion and flow for amateur players. However, being able to add simple musical effects greatly boosts a player's ability to express their unique playing style. To simplify this process, we designed an electromyography-based (EMG) system which integrates seamlessly into normal play by allowing musicians to modulate sound pitch using their thumb. We conducted an exploratory user study where users played a predefined melody and improvised using our system and a standard pitch wheel. Interview responses and survey answers showed that the EMG-based system supported the players' musical flow. Additionally, interviews indicated the system's capabilities to foster player creativity, and that players enjoyed experimenting with the effect. Our work illustrates how EMG can support seamless integration into existing systems to extend the range of interactions provided by a given interface