9 research outputs found

    Detection of Muscle Fatigue by the Surface Electromyogram and Its Application

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    Detection of muscle fatigue by the surface electromyogram and its application

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    金沢大学理工研究域電子情報学系金沢大学理工研究域電子情報学系The muscle is moved by muscle fiber contraction receiving command from the brain. But, energy that moves muscle is not infinity. If muscle get into energy shortage, no matter how send command from the brain, muscle is not moved. Such a temporary muscular dysfunction is muscle fatigue. If muscle becomes excess fatigue condition, it may decrease work efficiency, or muscle strain. If we are able to measure muscle fatigue objectively, improve work efficiency, or avert muscle strain. Therefore, it is necessity to measure muscle fatigue. It is able to objectively measure with a surface electromyogram(EMG). The feature of muscle fatigue are increase in amplitude and make the transition from high frequency spectrum to low frequency spectrum. We evaluate muscle fatigue Mean Power Frequency (MPF). to evaluates frequency of surface EMG.We assume muscle recovery process is converse phenomenon from muscle fatigue, and it is able to evaluate elevated MPF. The purpose of the present study is to design of system that effective training, or improve work efficiency, or avert muscle strain uses feature of muscular fatigue and muscle recovery process. © 2010 IEEE

    MÉTODOS PARA DETERMINAR EL ÍNDICE DE FATIGA MUSCULAR A TRAVÉS DE SEMG: REVISIÓN DE LA LITERATURA (METHODS OF DETERMINING MUSCLE FATIGUE INDEX THROUGH SEMG: LITERATURE REVIEW)

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    Resumen En este artículo de revisión de la literatura se investigan algunos métodos utilizados comúnmente para el análisis de las señales eléctricas generadas en los músculos con la finalidad de determinar la fatiga muscular. El propósito del mismo es ayudar al lector a seleccionar un método sobre el cuál trabajar para poder determinar la fatiga muscular. Se realiza una comparación entre los métodos para determinar cuál es el más apto para su posterior integración en un sistema capaz de advertir sobre la presencia de la fatiga. Palabras Clave: Análisis, Electromiografía, Fatiga muscular, Métodos, Superficial. Abstract Some methods commonly used in the analysis of electrical signals generated by muscles with the purpose to determinate muscle fatigue are investigated in this literature review. The main goal is to guide the reader to select a method with which work to determinate muscle fatigue. A comparison is made between methods to find which is the more useful for a future integration in a system capable of warn on the beginning of muscle fatigue. Keywords: Electromyography, Muscle fatigue, Signal analysis, Wavelet

    A ZigBee-based wireless biomedical sensor network as a precursor to an in-suit system for monitoring astronaut state of health

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    Master of ScienceDepartment of Electrical and Computer EngineeringSteven WarrenNetworks of low-power, in-suit, wired and wireless health sensors offer the potential to track and predict the health of astronauts engaged in extra-vehicular and in-station activities in zero- or reduced- gravity environments. Fundamental research questions exist regarding (a) types and form factors of biomedical sensors best suited for these applications, (b) optimal ways to render wired/wireless on-body networks with the objective to draw little-to-no power, and (c) means to address the wireless transmission challenges offered by a spacesuit constructed from layers of aluminized mylar. This thesis addresses elements of these research questions through the implementation of a collection of ZigBee-based wireless health monitoring devices that can potentially be integrated into a spacesuit, thereby providing continuous information regarding astronaut fatigue and state of health. Wearable biomedical devices investigated for this effort include electrocardiographs, electromyographs, pulse oximeters, inductive plethysmographs, and accelerometers/gyrometers. These ZigBee-enabled sensors will form the nodes of an in-suit ZigBee Pro network that will be used to (1) establish throughput requirements for a functional in-suit network and (2) serve as a performance baseline for future devices that employ ultra-low-power field-programmable gate arrays and micro-transceivers. Sensor devices will upload data to a ZigBee network coordinator that has the form of a pluggable USB connector. Data are currently visualized using MATLAB and LabVIEW

    Dinamik kasılmalarda kas yorgunluğunun elektromiyogram ve mekanomiyogram ölçümleri ile analizi

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    06.03.2018 tarihli ve 30352 sayılı Resmi Gazetede yayımlanan “Yükseköğretim Kanunu İle Bazı Kanun Ve Kanun Hükmünde Kararnamelerde Değişiklik Yapılması Hakkında Kanun” ile 18.06.2018 tarihli “Lisansüstü Tezlerin Elektronik Ortamda Toplanması, Düzenlenmesi ve Erişime Açılmasına İlişkin Yönerge” gereğince tam metin erişime açılmıştır.Kas yorgunluğunu tanımlayabilecek indeksleri arttırmak ve çeşitli parametrelerle ilişkisini belirlemek, kişilere özel antrenman programlarının geliştirilmesine, kişinin günlük hayattaki aktivite programını düzenlenmesine ve olası kas hasarlarının engellenmesine destek olacaktır. Bu doğrultuda yapılan çalışmada, Bruce protokolü ve 100m sprint performans testi ile gönüllülerin kaslarında oluşturulan yorgunluğun, farklı parametreler kullanılarak belirlenmesi hedef alınmıştır. Ayrıca çalışmaya katılan gönüllülerin antrene olup olmamasının, kas yorgunluğu tespiti üzerine etkileri de incelenmiştir. Literatürde yer alan yorgunluk tespit çalışmalarından farklı olarak bu çalışmada, sadece EMG, sadece MMG ve EMG-MMG kombinasyonları karşılaştırmalı olarak değerlendirilmiştir. Analizler için ilk olarak, spor geçmişi olan fakat şuan aktif bir spor dalıyla uğraşmayan kişilerden oluşan bir gönüllü grubu oluşturulmuştur. Çalışmanın başında antrene olmayan bu gönüllü grubunun belirlenen prosedüre göre kayıtları alınmıştır. Daha sonra aynı grup 8 hafta boyunca eğim antrenmanlarına katılmış ve kasları anterene hale geldiğinde, gönüllülere aynı prosedür tekrar uygulanmıştır. Elde edilen kayıtlar önişleme, DPD tabanlı enerji değerlerinin hesaplanması ve sınıflandırma aşamalarından geçirilmiştir. DPD ayrışımı 8 seviyede gerçekleştirilmiş ve sınıflandırma yapmak için ÇKYSA kullanılmıştır. Çalışma sonucunda EMG ve MMG kayıtlarının kombine uygulamasının, antrene olmayan kişilerin kas yorgunluğunu belirlemede daha başarılı bir yöntem olduğu tespit edilmiştir. Antrene kişilerin kas yorgunluğunun belirlenmesinde ise sadece EMG kayıtlarının kullanılması durumunda en başarılı sonuçlara ulaşılmıştır. Yine antrene kişilerde MMG'nin, EMG ile kombinasyona girmesi sonucunda bu yüksek test başarı değerlerini düşürdüğü görülmüştür. Ayrıca kas yorgunluğunun belirlenmesinde kullanılacak parametrelerin sadece kendi başına değerlendirilemeyeceği, EMG ve MMG kayıtlarının alındığı kişilerin antrenman düzeyinin, yaptığı aktivite ya da sporun EMG ve MMG'nin kas yorgunluğu belirlemedeki etkinliğini tamamen değiştirdiği açıkça ortaya konulmuştur.Increasing the indexes that can define muscle fatigue and determining it's relationship with various parameters will help the development of personel training programs, the regulation of personel daily life activity program and the prevention of possible muscle impairment. Therefore, in this study carried out, determination of the fatigue, which occurs in the volunteers' muscles via Bruce protocol and 100 m sprint performance test, was aimed by using various parameters. Moreover, the effects of whether the volunteers being trained or not, over the determination of muscle fatigue were analysed as well. Differently from the fatigue determination studies that are present in the literature, the records of solely Electromyogram (EMG), solely Mechanomyogram (MMG) and the combination of EMG and MMG were evaluated comperatively. For the analysis, firstly, a volunteers group, made of people who had a suport background in the past but now does not engage in any sport branches were performed. At the beginning of the study, the records of this group of volunteers who were untrained were taken according to the determined procedure. Afterwards, the same group participated in the trainings for 8 weeks and once their muscles became trained, the same procedure was applied to the volunteers again. The obtained records were passed through the stages of pre-processing, calculation of energy values based Wavelet Packet Transform (WPT), and classification. Decomposition of WPT was carried out in 8 levels and the Multi-layer Perceptron Artificial Neural Network (MLPNN) was used for classification. As the result of the study, it was determined that the combined application of EMG and MMG records was a more successful method for determining the muscle fatigue of those who were untrained. As for the determination of fatigue levels of those who were trained, the most successful results were attained by the use of solely EMG records. Once again, it was clearly revealed that the parameters to be used for the determination of muscle fatigue should not be evaluated single-handedly, and the training level of the persons, whose EMG and MMG records were taken, the daily activities they do and the sport activities they take part in totaly changed the effectiveness of determination of muscle fatigue by using EMG and MMG

    Optimización del uso de los músculos en trabajos industriales mediante esquemas de rotación

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    La rotación de demandas mecánicas en esquemas de trabajo es una de las intervenciones administrativas utilizadas en la industria para buscar reducir el riesgo de adquirir desórdenes musculo-esqueléticos (MSD). Esto es en atención a que dichas condiciones son las que más afectan a los trabajadores colombianos (Ministerio de la Protección Social 2007). En este trabajo se buscó proponer guías basadas en evidencia objetiva para administrar correctamente las cargas mecánicas de los trabajadores. Para ello, se realizó una revisión de literatura en búsqueda de evidencia de la efectividad de las rotaciones específicamente en relación a cargas mecánicas a la extremidad superior. La información encontrada fue consistente y en general cuando se tienen en cuenta las demandas específicas de cada trabajo es posible definir una intervención que rote efectivamente las demandas asociadas al esquema de trabajo. Con la evidencia recolectada, se propuso una herramienta matemática que permite optimizar el diseño de esquemas de trabajo a través de diferentes intervenciones de modo que tengan en cuenta la variabilidad de la actividad muscular para reducir el riesgo de adquirir MSD.Rotating mechanical demands on work schemes is one of the administrative interventions used in the industry to reduce the risk for musculoskeletal disorders (MSD). This is due to those conditions affect most Colombian workers (Ministry of Social Welfare 2007). This project sought to propose objective evidence-based guidelines to manage properly the mechanical loads of workers. Hence, we conducted a literature review for evidence of the effectiveness of specific rotations relative to mechanical loads to the upper extremity. The information found was consistent and overall, when the specific demands of each job are considered, an intervention can be defined that effectively rotates the demands associated with the framework of a specific worker. With the evidence gathered, we proposed a mathematical tool which main aim is to optimize the design of schemes of work through different interventions so the variability of muscle activity is considered in order to reduce the risk for MSD.Ingeniero (a) IndustrialPregrad
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