An Autonomous Wearable System for Predicting and Detecting Localised Muscle Fatigue

Muscle fatigue is an established area of research and various types of muscle fatigue have been clinically investigated in order to fully understand the condition. This paper demonstrates a non-invasive technique used to automate the fatigue detection and prediction process. The system utilises the clinical aspects such as kinematics and surface electromyography (sEMG) of an athlete during isometric contractions. Various signal analysis methods are used illustrating their applicability in real-time settings. This demonstrated system can be used in sports scenarios to promote muscle growth/performance or prevent injury. To date, research on localised muscle fatigue focuses on the clinical side and lacks the implementation for detecting/predicting localised muscle fatigue using an autonomous system. Results show that automating the process of localised muscle fatigue detection/prediction is promising. The autonomous fatigue system was tested on five individuals showing 90.37% accuracy on average of correct classification and an error of 4.35% in predicting the time to when fatigue will onset

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

Skin, paper, tiles: a cross-cultural history of Kadiwéu art

This article focuses on the global traffic in images relating to Kadiwéu culture in South America, analyzing the extent to which they are entangled in the group’s continuing sense of presence. It begins with Kadiwéu designs as they appeared in the sketchbook of the artist-explorer Guido Boggiani in the late nineteenth century. It then explores the mapping of Kadiwéu territory and the practices and protocols informing a politics of land rights, cultural property and economic survival, looking in particular at the commissioning of Kadiwéu designs for a housing estate and an associated exhibition in Berlin early in the twentieth-first century. By developing a cross-cultural history of Kadiwéu art that considers the transnational networks across different times and spaces, including the case of a transcultural history of copyright, the article seeks to contribute to the ongoing re-thinking of the colonial archive and its afterlife