Terry J. Housh Ed., Dona J. Housh Ed., Glen O. Johnson, Nicholas Stergiou, Ka-Chun Siu, Sara A. Myers, and Ben Senderling
The fifth edition of Introduction to Exercise Science introduces students to every core area of study in the discipline. It comprises concise chapters which introduce the history, key lines of inquiry relating to both health and performance, technology, certifications, professional associations, and career opportunities associated with each area. No other book offers such a wide-ranging, evidence-based introduction to exercise science. Written by leading and experienced experts, chapters include:
- reading and interpreting literature
- measurement in exercise science
- anatomy in exercise science
- exercise physiology
- exercise epidemiology
- athletic training
- exercise and sport nutrition
- motor control
- exercise and sport psychology
Packed with pedagogical features—from journal abstract examples to study questions and further reading suggestions—and accompanied by a website including practical lab exercises, Introduction to Exercise Science is a complete resource for a hands-on introduction to the core tenets of exercise science. It is an engaging and invaluable textbook for students beginning undergraduate degrees in Kinesiology, Sport & Exercise Science, Sports Coaching, Strength & Conditioning, Athletic Training, Sports Therapy, Sports Medicine, and Health & Fitness.
Terry J. Housh Ed., Dona J. Housh Ed., Glen O. Johnson Ed., Nicholas Stergiou, Daniel Blanke, Sara A. Myers, and Ka-Chun Siu
The fourth edition of this book is designed to introduce students to the many areas of study and possible professions in the field of exercise science, whether in an academic setting, at a fitness or sport venue, or in an organization such as the Centers for Disease Control & Prevention. Readers who plan to pursue careers in fields such as exercise physiology, athletic training, nutrition, strength and conditioning, or exercise/sport psychology will find coverage of the major areas of study in exercise science. Each chapter was written by one or more expert in that particular field. The book as a whole offers an excellent balance of theory, research, and application.
Chapter 9: Biomechanics (Abstract)
Full text avaialable at: https://digitalcommons.unomaha.edu/biomechanicsarticles/341/
Biomechanics is a discipline. A discipline deals with understanding, predicting, and explaining phenomena within a content domain, and biomechanics is the study of the human body in motion. By applying
principles from mechanics and engineering, biomechanists are able to study the forces that act on the body and the effects they produce (Bates, 1991). Hay (1973) describes biomechanics as the science that examines forces acting on and within a biological structure and the effects produced by such forces, whereas Alt (1967) describes biomechanics as the science that investigates the effect of internal and external forces on human and animal bodies in movement and at rest. Each of these definitions describes the essential relationship between humans and mechanics found in biomechanics.
How Does the Body’s Motor Control System Deal with Repetition?
While the presence of nonlinear dynamics can be explained and understood, it is difficult to be measured. A study of human movement variability with a focus on nonlinear dynamics, Nonlinear Analysis for Human Movement Variability, examines the characteristics of human movement within this framework, explores human movement in repetition, and explains how and why we analyze human movement data. It takes an in-depth look into the nonlinear dynamics of systems within and around us, investigates the temporal structure of variability, and discusses the properties of chaos and fractals as they relate to human movement.
Providing a foundation for the use of nonlinear analysis and the study of movement variability in practice, the book describes the nonlinear dynamical features found in complex biological and physical systems, and introduces key concepts that help determine and identify patterns within the fluctuations of data that are repeated over time. It presents commonly used methods and novel approaches to movement analysis that reveal intriguing properties of the motor control system and introduce new ways of thinking about variability, adaptability, health, and motor learning.
In addition, this text:
- Demonstrates how nonlinear measures can be used in a variety of different tasks and populations
- Presents a wide variety of nonlinear tools such as the Lyapunov exponent, surrogation, entropy, and fractal analysis
- Includes examples from research on how nonlinear analysis can be used to understand real-world applications
- Provides numerous case studies in postural control, gait, motor control, and motor development
Nonlinear Analysis for Human Movement Variability advances the field of human movement variability research by dissecting human movement and studying the role of movement variability. The book proposes new ways to use nonlinear analysis and investigate the temporal structure of variability, and enables engineers, movement scientists, clinicians, and those in related disciplines to effectively apply nonlinear analysis in practice.
James D. Westwood, Susan W. Westwood, Li Felländer-Tsai, Cali M. Fidopiastis, Randy S. Haluck, Richard A. Robb, Steven Senger, Kirby G. Vosburgh, Joshua Pickhinke, Jung Hung Chien, and Mukul Mukherjee
Editors: James D. Westwood, Susan W. Westwood, Li Felländer-Tsai, Cali M. Fidopiastis, Randy S. Haluck, Richard A. Robb, Steven Senger, Kirby G. Vosburgh.
Chapter, Varying the Speed of Perceived Self-Motion Affects Postural Control During Locomotion, co-authored by Joshua Pickhinke, Jung Hung Chien, Mukul Mukherjee, UNO faculty and staff members.
Virtual reality environments have been used to show the importance of perception of self-motion in controlling posture and gait. In this study, the authors used a virtual reality environment to investigate whether varying optical flow speed had any effect on postural control during locomotion. Healthy young adult participants walked under two conditions, with optical flow matching their preferred walking speed, and with a randomly varying optic flow speed compared to their preferred walking speed. Exposure to the varying optic flow increased the variability in their postural control as measured by area of COP when compared with the matched speed condition. If perception of self-motion becomes less predictable, postural control during locomotion becomes more variable and possibly riskier.
James D. Westwood, Mukul Mukherjee, K.-C. Siu, I. H. Suh, A. Klutman, D. Oleynikov, Nikolaos Stergiou, and E. Monk
Chapter, A Virtual Reality Training Program for Improvement of Robotic Surgical Skills, co-authored by Mukul Mukherjee and Nicholas Stergiou, UNO faculty members.
Chapter, Consistency of Performance of Robot-Assisted Surgical Tasks in Virtual Reality, co-authored by Mukul Mukherjee and Nicholas Stergiou, UNO faculty members.
The 17th annual Medicine Meets Virtual Reality (MMVR17) was held January 19-22, 2009, in Long Beach, CA, USA. The conference is well established as a forum for emerging data-centered technologies for medical care and education. Each year, it brings together an international community of computer scientists and engineers, physicians and surgeons, medical educators and students, military medicine specialists and biomedical futurists. MMVR emphasizes inter-disciplinary collaboration in the development of more efficient and effective physician training and patient care. The MMVR17 proceedings collect 108 papers by conference lecture and poster presenters. These papers cover recent developments in biomedical simulation and modeling, visualization and data fusion, haptics, robotics, sensors and other related information-based technologies. Key applications include medical education and surgical training, clinical diagnosis and therapy, physical rehabilitation, psychological assessment, telemedicine and more. From initial vision and prototypes, through assessment and validation, to clinical and academic utilization and commercialization - MMVR explores the state-of-the-art and looks toward healthcare’s future. The proceedings volume will interest physicians, surgeons and other medical professionals interested in emerging and future tools for diagnosis and therapy; educators responsible for training the next generation of doctors and scientists; IT and medical device engineers creating state-of-the-art and next-generation simulation, imaging, robotics and communication systems; data technologists creating systems for gathering, processing and distributing medical intelligence; military medicine specialists addressing the challenges of warfare and defense health needs; and biomedical futurists and investors who want to understand where the field is headed.
James D. Westwood, B. Brown-Clerk, K.-C. Siu, D. Kastavelis, I. Lee, D. Oleynikov, and Nikolaos Stergiou
Chapter, Validating Advanced Robot-Assisted Laparoscopic Training Task in Virtual Reality, co-authored by Nicholas Stergiou, UNO faculty member.
We humans are tribal, grouping ourselves by a multitude of criteria: physical, intellectual, political, emotional, etc. The Internet and its auxiliary technologies have enabled a novel dimension in tribal behavior during our recent past. This growing connectivity begs the question: will individuals and their communities come together to solve some very urgent global problems? At MMVR, we explore ways to harness information technology to solve healthcare problems – and in the industrialized nations we are making progress. In the developing world however, things are more challenging. Massive urban poverty fuels violence and misery. Will global networking bring a convergence of individual and tribal problem-solving? Recently, a barrel-shaped water carrier that rolls along the ground was presented, improving daily life for many people. Also the One Laptop per Child project is a good example of how the industrialized nations can help the developing countries. They produce durable and simple laptops which are inexpensive to produce. At MMVR, we focus on cutting-edge medical technology, which is generally pretty expensive. While the benefits of innovation trickle downward, from the privileged few to the broader masses, we should expand this trickle into a flood. Can breakthrough applications in stimulation, visualization, robotics, and informatics engender tools as ingeniously as the water carrier or laptop? With some extra creativity, we can design better healthcare for the developing world too.
James D. Westwood, Matthew J. Fieldler, Shing-Jye Chen, Timothy N. Judkins, D. Oleynikov, and Nikolaos Stergiou
Chapter, Virtual Reality for Robotic Laparoscopic Surgical Training, co-authored by Nicholas Stergiou, UNO faculty member.
Our culture is obsessed with design. Sometimes designers can fuse utility and fantasy to make the mundane appear fresh—a cosmetic repackaging of the same old thing. Because of this, medicine—grounded in the unforgiving realities of the scientific method and peer review, and of flesh, blood, and pain—can sometimes confuse “design” with mere “prettifying.” Design solves real problems, however. This collection of papers underwrites the importance of design for the MMVR community, within three different environments: in vivo, in vitro and in silico. in vivo: we design machines to explore our living bodies. Imaging devices, robots, and sensors move constantly inward, operating within smaller dimensions: system, organ, cell, DNA. in vitro: Using test tubes and Petri dishes, we isolate in vivo to better manipulate and measure biological conditions and reactions. in silico: We step out of the controlled in vitro environment and into a virtual reality. The silica mini-worlds of test tubes and Petri dishes are translated into mini-worlds contained within silicon chips. The future of medicine remains within all three environments: in vivo, in vitro, and in silico. Design is what makes these pieces fit together—the biological, the informational, the physical/material—into something new and more useful.
James D. Westwood, Timothy N. Judkins, D. Oleynikov, and Nikolaos Stergiou
Chapter, Real-Time Augmented Feedback Benefits Robotic Laparoscopic Training, co-authored by Nicholas Steriou, UNO faculty member.
Machine intelligence will eclipse human intelligence within the next few decades - extrapolating from Moore’s Law - and our world will enjoy limitless computational power and ubiquitous data networks. Today’s iPod® devices portend an era when biology and information technology will fuse to create a human experience radically different from our own. Already, our healthcare system now appears on the verge of crisis; accelerating change is part of the problem. Each technological upgrade demands an investment of education and money, and a costly infrastructure more quickly becomes obsolete. Practitioners can be overloaded with complexity: therapeutic options, outcomes data, procedural coding, drug names etc. Furthermore, an aging global population with a growing sense of entitlement demands that each medical breakthrough be immediately available for its benefit: what appears in the morning paper is expected simultaneously in the doctor’s office. Meanwhile, a third-party payer system generates conflicting priorities for patient care and stockholder returns. The result is a healthcare system stressed by scientific promise, public expectation, economic and regulatory constraints and human limitations. Change is also proving beneficial, of course. Practitioners are empowered by better imaging methods, more precise robotic tools, greater realism in training simulators, and more powerful intelligence networks. The remarkable accomplishments of the IT industry and the Internet are trickling steadily into healthcare. The Medicine Meets Virtual Reality series can readily see the progress of the past fourteen years: more effective healthcare at a lower overall cost, driven by cheaper and better computers.
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