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Current improvements of the design of the upper limb prosthesis include advanced technology in control systems and electronic circuitry that mimic human motion and improve function of the prosthesis. Often times these improvements require large amounts of power, circuitry and excess mass distally along the prosthesis that may require greater effort from the user. Poor function of an upper limb prosthesis may cause awkward compensatory motion. Aberrant movements, such as these compensatory movements are known to cause greater stress to remaining joints. Amputees are forced to decide if the extra function provided by the advanced electronics is worth carrying the extra mass which may cause fatigue, socket issues and greater stress on the remaining joints. An example is the wrist rotator component of an upper limb prosthesis which may allow greater function and reduce compensatory motion, but adds mass distally, potentially causing greater torques on remaining joints.
GOALS OF THE STUDY:
There are two main goals of this study:
HYPOTHESES:
Full description
PROBLEM STATEMENT:
Current improvements of the design of the upper limb prosthesis include advanced technology in control systems and electronic circuitry that mimic human motion and improve function of the prosthesis. Often times these improvements require large amounts of power, circuitry and excess mass distally along the prosthesis that may require greater effort from the user. Poor function of an upper limb prosthesis may cause awkward compensatory motion. Aberrant movements, such as these compensatory movements are known to cause greater stress to remaining joints. Amputees are forced to decide if the extra function provided by the advanced electronics is worth carrying the extra mass which may cause fatigue, socket issues and greater stress on the remaining joints. An example is the wrist rotator component of an upper limb prosthesis which may allow greater function and reduce compensatory motion, but adds mass distally, potentially causing greater torques on remaining joints.
SYNOPSIS OF CURRENT LITERATURE:
Restricted motion and excess weight of an upper limb prosthesis have been documented as complaints among amputees [1], [2], [3], [4], [5], [6]. Through surveys Atkins et al. determined that amputees would like the wrist component of the prosthesis to perform more movements. This study also listed drinking from a glass and opening a door, top priorities among amputees [7]. This suggests that the wrist component on a prosthetic arm is important.
There are many examples throughout scientific literature showing how kinetic, kinematic and metabolic analyses of gait have lead to the improvement of lower limb prosthetic design criteria [8],[9]. In 2003, Twiste et al. conducted a literature review on rotation and translation of the anatomic joints during prosthetic gait. The abstract from this review mentions that more accurate kinematic gait analysis showing optimized gait patterns could help manufacturers design prosthetic components to mimic these patterns [9]. The effects of mass perturbations on lower limb amputees have been investigated to determine how inertial properties of a prosthesis should be evaluated [10].
There have also been studies involving upper limb motion, but the amount is limited. The range of motion of the upper limb of healthy and braced subjects performing activities of daily living have been recorded and analyzed [11],[12],[13]. These studies have looked at the effect of wrist position, but not on the mass of a wrist component.
GOALS OF THE STUDY:
There are two main goals of this study:
HYPOTHESES:
METHODS Participants Ten healthy adult volunteers with no history of upper limb injury will participate in this study. Five men and five women will participate. These ten subjects will make up the control group and then will be braced to simulate a below elbow prosthesis. Seven unilateral upper limb amputees will participate.
Testing Protocol An 8 camera infrared Vicon motion analysis system will be used for the collection and analysis of movement data. Nineteen spherical reflective markers will be placed on the boney landmarks of the upper limbs and torso of the subjects to describe segments or local coordinate systems.
A static trial will be collected for each subject to help determine the joint centers. Subject parameters such as body mass, height, and shoulder depth, wrist and hand thickness will be collected for use in calculations. Kinematic data will be collected at 120 Hz.
Subjects will be asked to complete four tasks:
The healthy subjects will complete each task during following interventions: (1) no intervention (2) braced restricting forearm and wrist motion, (3) braced with 96 g (mass of average prosthetic wrist rotator) added near the elbow, (4) braced with 96 g added near the wrist. The amputees will complete interventions (3) and (4) mentioned above without a wrist rotator but simulating the mass of one. Three trials will be collected for each experimental test condition and these trials will be averaged as a representative for each subject. The order of the tests will be randomly assigned for each subject.
Design of Experiment:
This study will look at the effects of the absence of wrist and forearm motion on shoulder, elbow and torso motion during four activities. This study will combine between-subject and within-subject analysis.
Independent factor (between subjects): restriction of wrist and forearm movement (simulating no wrist rotator component on prosthesis)
Levels:
Repeated factor (with-in subjects): added mass (simulating the mass of wrist rotator)
Levels:
A two-way analysis of variance with one repeated measure will be used to analyze the main effects and the interaction effects.
Data Processing
Shoulder, elbow and torso motions and torques will be computed using a program written in Vicon Bodybuilder language. The positions of the markers placed on the subject will be digitized and torso, upper arm, lower arm and hand segments will be determined. Euler angles will be computed. Inverse dynamics and anthropometrics will be used to compute forces and torques. The following outcome measures will be compared:
The maximum, minimum and range of these outcome measures will be compared between subjects and with-in subjects.
PREDICTED RESULTS/DISCUSSION
Drinking from a cup:
Opening a door:
Lifting a 5 lb. box:
Turning a steering wheel:
CONTRIBUTIONS This work will provide many contributions to the biomechanics field and prosthetic design field. One important aspect of studying human maladies is to have a set of control data to use for comparison. Documenting kinematic data of the upper limb during four common tasks will allow for a comparison when studying many upper limb problems or injuries.
This work will help determine if location of new components should be considered in design, fitting and instruction of the upper limb prosthesis. It may also help to bridge the gap between the technological innovation of the engineering field and the clinical astuteness of the prosthetists that are in contact with the end users on a daily basis.
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