Muscle Fatigue Analysis Using OpenSim

In this research, attempts are made to conduct concrete muscle fatigue analysis of arbitrary motions on OpenSim, a digital human modeling platform. A plug-in is written on the base of a muscle fatigue model, which makes it possible to calculate the decline of force-output capability of each muscle along time. The plug-in is tested on a three-dimensional, 29 degree-of-freedom human model. Motion data is obtained by motion capturing during an arbitrary running at a speed of 3.96 m/s. Ten muscles are selected for concrete analysis. As a result, the force-output capability of these muscles reduced to 60%-70% after 10 minutes' running, on a general basis. Erector spinae, which loses 39.2% of its maximal capability, is found to be more fatigue-exposed than the others. The influence of subject attributes (fatigability) is evaluated and discussed

Computer users at risk: Health disorders associated with prolonged computer use

By keeping in view the ISO standards which emphasize the assessment of use of a product, this research aims to assess the prolonged use of computers and their effects on human health. The objective of this study was to investigate the association between extent of computer use (per day) and carpal tunnel syndrome, computer stress syndrome, computer vision syndrome and musculoskeletal problems. The second objective was to investigate the extent of simultaneous occurrence of carpal tunnel syndrome, stress, computer vision syndrome and musculoskeletal disorders among computer users. The sample in this exploratory study consisted of 120 employees and students. Self administered questionnaire was used as an instrument in this field survey study. The findings confirmed that computer related health disorders such as carpal tunnel syndrome, stress, computer vision syndrome and musculoskeletal disorders occur simultaneously among prolonged computer users such as employees and students. The simultaneous occurrence of carpal tunnel syndrome, stress, computer vision syndrome and musculoskeletal disorders is more among employees than students and those who are both employees and students. Employees who use computer daily for more than four hours are more likely subjected to the risks of all these four health disorders. The study concludes that by observing some rules of using computer, minimizing and treating of these disorders are possibleKeywords: Computer, Prolonged use, Carpal Tunnel Syndrome, Computer Vision Syndrome, Health Disorders, Employees, Students.

Real-time human ambulation, activity, and physiological monitoring:taxonomy of issues, techniques, applications, challenges and limitations

Automated methods of real-time, unobtrusive, human ambulation, activity, and wellness monitoring and data analysis using various algorithmic techniques have been subjects of intense research. The general aim is to devise effective means of addressing the demands of assisted living, rehabilitation, and clinical observation and assessment through sensor-based monitoring. The research studies have resulted in a large amount of literature. This paper presents a holistic articulation of the research studies and offers comprehensive insights along four main axes: distribution of existing studies; monitoring device framework and sensor types; data collection, processing and analysis; and applications, limitations and challenges. The aim is to present a systematic and most complete study of literature in the area in order to identify research gaps and prioritize future research directions

Effects of additional anterior body mass on gait

BACKGROUND: Gradual increases in mass such as during pregnancy are associated with changes in gait at natural velocities. The purpose of this study was to examine how added mass at natural and imposed slow walking velocities would affect gait parameters. METHODS: Eighteen adult females walked at two velocities (natural and 25 % slower than their natural pace) under four mass conditions (initial harness only (1 kg), 4.535 kg added anteriorly, 9.07 kg added anteriorly, and final harness only (1 kg)). We collected gait kinematics (100 Hz) using a motion capture system. RESULTS: Added anterior mass decreased cycle time and stride length. Stride width decreased once the mass was removed (p < .01). Added mass resulted in smaller peak hip extension angles (p < .01). The imposed slow walking velocity increased cycle time, double limb support time and decreased stride length, peak hip extension angles, and peak plantarflexion angles (p < .01). With added anterior mass and an imposed slow walking velocity, participants decreased cycle time when mass was added and increased cycle time once the mass was removed (p < .01). CONCLUSIONS: Gait adaptations may be commensurate with the magnitude of additional mass when walking at imposed slow versus natural velocities. This study presents a method for understanding how increased mass and imposed speed might affect gait independent of other effects related to pregnancy. Examining how added body mass and speed influence gait is one step in better understanding how women adapt to walking under different conditions.K12 HD055931 - NICHD NIH HHS; K23 AR063235 - NIAMS NIH HH

Mechanomorphosis: Science, Management, and “Human Machinery” in Industrial Canada, 1900–45

By the early 20th century, the changes taking place in western industrial capitalist nations prompted an adaptive shift in the socioeconomic delineation of human bodies, and in scientific theories about how they worked and how they could be put to work. Just as the rising social sciences borrowed from medicine to convey images of social malaise, medicine increasingly appropriated an industrial vocabulary to conceptualize bodily health. Depicted variously as a machine, a motor, a factory in itself, the human body absorbed industrial symbolism. Modern industry demanded an intensification of labour that made bodily efficiency paramount. The corresponding definition of health also shifted, from emphasis on physical endurance, which could be secured by simple replacement of outworn workers, to optimum labour efficiency, which had to be actively instilled in all workers, present and future. Scientific management programs were easily integrated with regulatory medical notions concerning the human body and human nature, as science, medicine and technology combined forces to promote a machine ethic that equated modernity, progress, efficiency, and national health. This paper considers the relationship between changing conceptualizations of the human body, developing medical influence and state regulation of health, and attempts to “Taylorize” the labour process in early 20th century Canada

Biomechanics

Biomechanics is a vast discipline within the field of Biomedical Engineering. It explores the underlying mechanics of how biological and physiological systems move. It encompasses important clinical applications to address questions related to medicine using engineering mechanics principles. Biomechanics includes interdisciplinary concepts from engineers, physicians, therapists, biologists, physicists, and mathematicians. Through their collaborative efforts, biomechanics research is ever changing and expanding, explaining new mechanisms and principles for dynamic human systems. Biomechanics is used to describe how the human body moves, walks, and breathes, in addition to how it responds to injury and rehabilitation. Advanced biomechanical modeling methods, such as inverse dynamics, finite element analysis, and musculoskeletal modeling are used to simulate and investigate human situations in regard to movement and injury. Biomechanical technologies are progressing to answer contemporary medical questions. The future of biomechanics is dependent on interdisciplinary research efforts and the education of tomorrow’s scientists

Learning models for semantic classification of insufficient plantar pressure images

Establishing a reliable and stable model to predict a target by using insufficient labeled samples is feasible and effective, particularly, for a sensor-generated data-set. This paper has been inspired with insufficient data-set learning algorithms, such as metric-based, prototype networks and meta-learning, and therefore we propose an insufficient data-set transfer model learning method. Firstly, two basic models for transfer learning are introduced. A classification system and calculation criteria are then subsequently introduced. Secondly, a dataset of plantar pressure for comfort shoe design is acquired and preprocessed through foot scan system; and by using a pre-trained convolution neural network employing AlexNet and convolution neural network (CNN)- based transfer modeling, the classification accuracy of the plantar pressure images is over 93.5%. Finally, the proposed method has been compared to the current classifiers VGG, ResNet, AlexNet and pre-trained CNN. Also, our work is compared with known-scaling and shifting (SS) and unknown-plain slot (PS) partition methods on the public test databases: SUN, CUB, AWA1, AWA2, and aPY with indices of precision (tr, ts, H) and time (training and evaluation). The proposed method for the plantar pressure classification task shows high performance in most indices when comparing with other methods. The transfer learning-based method can be applied to other insufficient data-sets of sensor imaging fields

Aerospace Medicine and Biology: A continuing bibliography, supplement 216

One hundred twenty reports, articles, and other documents introduced into the NASA scientific and technical information system in January 1981 are listed. Topics include: sanitary problems; pharmacology; toxicology; safety and survival; life support systems; exobiology; and personnel factors