Biomechanics Commons^™

Three-Dimensional Motion Analysis For Occupational Therapy Upper Extremity Assessment And Rehabilitation: A Scoping Review, Stephen W. Hill, Samantha Mong, Quyen Vo

The Open Journal of Occupational Therapy

Background: Three-dimensional (3D) human motion analysis provides objective, quantitative, and reliable kinematic data that are valuable in rehabilitation. Clinicians, including occupational therapists and other specialists, can apply this technology to quantify patients’ upper extremity (UE) motion during functional tasks. A better comprehension of altered body mechanics serves to guide clinical reasoning, develop evidence-based interventions, and monitor patients’ progress through follow-up. However, the scientific literature has yet to emphasize the practicality of using 3D motion analysis as a clinical measurement tool.

Method: This scoping review appraised 20 articles that used 3D motion analysis to quantify UE movements for individuals …

Analysis Of Push-Up And Pull-Up Variants To Develop An Upper Extremity Model, Ashley Carlene Wimsett

Theses and Dissertations--Kinesiology and Health Promotion

Musculoskeletal Injuries are the most common cause of severe long-term pain and physical disability. Push-Ups and Pull-Ups are effective dynamic exercises that mimic high level function activities, such as those used in the military. The model developed allows for researchers to analyze the forces and moments associated with the shoulder, elbow and wrist, to further assess function in military personnel, athletes and the active population. The model also follows the guidelines set forth by the International Society of Biomechanics (ISB).

The Relationship Of Gymnastics Experience And Hand Placement Technique On Peak Ground Reaction Forces Through The Elbow, Saskia Richter

Journal of Sports Medicine and Allied Health Sciences: Official Journal of the Ohio Athletic Trainers Association

This Research was supported by a grant from the Ohio Athletic Trainers Association.

In Volume 3, Issue 1 of the JSMAHS you will find Professional research abstracts, as well as Under Graduate student research abstracts, case reports, and critically appraised topics.

Thank you for viewing this 3^rd Annual OATA Special Edition.

Speed And Rhythm Affect Temporal Structure Of Variability In Reaching Poststroke: A Pilot Study, Amit Sethi, Nicholas Stergiou, Tara Patterson, Carolynn Patten, Lorie G. Richards

Journal Articles

Temporal structure reveals the potential adaptive strategies employed during upper extremity movements. The authors compared the temporal structure of upper extremity joints under 3 different reaching conditions: preferred speed, fast speed, and reaching with rhythmic auditory cues in 10 individuals poststroke. They also investigated the temporal structure of these 3 reaching conditions in 8 healthy controls to aid in the interpretation of the observed patterns in the poststroke cohort. Approximate entropy (ApEn) was used to measure the temporal structure of the upper extremity joints. ApEn was similar between conditions in controls. After stroke, ApEn was significantly higher for shoulder, elbow, …

Temporal Structure Of Variability Decreases In Upper Extremity Movements Post Stroke, Amit Sethi, Tara Patterson, Theresa Mcguirk, Carolynn Patten, Lorie G. Richards, Nikolaos Stergiou

Journal Articles

Methods: Sixteen participants with chronic stroke and nine age-matched controls performed three trials of functional reach-to-grasp. The amount of variability was quantified by computing the standard deviation of shoulder, elbow, wrist and index finger flexion/extension joint angles. The temporal structure of variability was determined by calculating approximate entropy in shoulder, elbow, wrist and index finger flexion/extension joint angles.

Findings: Individuals with stroke demonstrated greater standard deviations and significantly reduced approximate entropy values as compared to controls. Furthermore, motor impairments and kinematics demonstrated moderate to strong correlations with temporal structure of variability.

Interpretation: Changes in the temporal structure of variability in …

Stroke Survivors Control The Temporal Structure Of Variability During Reaching In Dynamic Environments, Mukul Mukherjee, Panagiotis Koutakis, K.-C. Siu, Pierre B. Fayad, Nikolaos Stergiou

Journal Articles

Learning to control forces is known to reduce the amount of movement variability (e.g., standard deviation; SD) while also altering the temporal structure of movement variability (e.g., approximate entropy; ApEn). Such variability control has not been explored in stroke survivors during reaching movements in dynamic environments. Whether augmented feedback affects such variability control, is also unknown. Chronic stroke survivors, assigned randomly to a control/experimental group, learned reaching movements in a dynamically changing environment while receiving either true feedback of their movement (control) or augmented visual feedback (experimental). Hand movement variability was analyzed using SD and ApEn. A significant change in …