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Relationship between Motor Generalization and Motor Transfer

Description
Adapting to one novel condition of a motor task has been shown to generalize to other naïve conditions (i.e., motor generalization). In contrast, learning one task affects the proficiency of another task that is altogether different (i.e. motor transfer). Much more is known about motor generalization than about motor transfer,…

Adapting to one novel condition of a motor task has been shown to generalize to other naïve conditions (i.e., motor generalization). In contrast, learning one task affects the proficiency of another task that is altogether different (i.e. motor transfer). Much more is known about motor generalization than about motor transfer, despite of decades of behavioral evidence. Moreover, motor generalization is studied as a probe to understanding how movements in any novel situations are affected by previous experiences. Thus, one could assume that mechanisms underlying transfer from trained to untrained tasks may be same as the ones known to be underlying motor generalization. However, the direct relationship between transfer and generalization has not yet been shown, thereby limiting the assumption that transfer and generalization rely on the same mechanisms. The purpose of this study was to test whether there is a relationship between motor generalization and motor transfer. To date, ten healthy young adult subjects were scored on their motor generalization ability and motor transfer ability on various upper extremity tasks. Although our current sample size is too small to clearly identify whether there is a relationship between generalization and transfer, Pearson product-moment correlation results and a priori power analysis suggest that a significant relationship will be observed with an increased sample size by 30%. If so, this would suggest that the mechanisms of transfer may be similar to those of motor generalization.
ContributorsSohani, Priyanka (Author) / Schaefer, Sydney (Thesis advisor) / Daliri, Ayoub (Committee member) / Honeycutt, Claire (Committee member) / Arizona State University (Publisher)
Created2018
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Automation of Title and Abstract Screening for Clinical Systematic Reviews

Description
Systematic Reviews (SRs) aim to synthesize the totality of evidence for clinical practice and are important in making clinical practice guidelines and health policy decisions. However, conducting SRs manually is a laborious and time-consuming process. This challenge is growing due to the increase in the number of databases to search…

Systematic Reviews (SRs) aim to synthesize the totality of evidence for clinical practice and are important in making clinical practice guidelines and health policy decisions. However, conducting SRs manually is a laborious and time-consuming process. This challenge is growing due to the increase in the number of databases to search and the papers being published. Hence, the automation of SRs is an essential task. The goal of this thesis work is to develop Natural Language Processing (NLP)-based classifiers to automate the title and abstract-based screening for clinical SRs based on inclusion/exclusion criteria. In clinical SRs, a high-sensitivity system is a key requirement. Most existing methods for SRs use binary classification systems trained on labeled data to predict inclusion/exclusion. While previous studies have shown that NLP-based classification methods can automate title and abstract-based screening for SRs, methods for achieving high-sensitivity have not been empirically studied. In addition, the training strategy for binary classification has several limitations: (1) it ignores the inclusion/exclusion criteria, (2) lacks generalization ability, (3) suffers from low resource data, and (4) fails to achieve reasonable precision at high-sensitivity levels. This thesis work presents contributions to several aspects of the clinical systematic review domain. First, it presents an empirical study of NLP-based supervised text classification and high-sensitivity methods on datasets developed from six different SRs in the clinical domain. Second, this thesis work provides a novel approach to view SR as a Question Answering (QA) problem in order to overcome the limitations of the binary classification training strategy; and propose a more general abstract screening model for different SRs. Finally, this work provides a new QA-based dataset for six different SRs which is made available to the community.
ContributorsParmar, Mihir Prafullsinh (Author) / Baral, Chitta (Thesis advisor) / Devarakonda, Murthy (Thesis advisor) / Riaz, Irbaz B (Committee member) / Arizona State University (Publisher)
Created2021

A Systematic Review of Racial Inclusivity in Stroke Rehabilitation Research

Description

SUMMARY: A failed attempt to conduct a systematic review of disparities in racial inclusivity in stroke rehabilitation research: A call to action Group Members: Adeline Beeler & Mikayla McNally Faculty Mentor(s): Dr. Sydney Schaefer & Dr. Keith Lohse Topic Overview: Stroke is responsible for the death of an individual every…

SUMMARY: A failed attempt to conduct a systematic review of disparities in racial inclusivity in stroke rehabilitation research: A call to action Group Members: Adeline Beeler & Mikayla McNally Faculty Mentor(s): Dr. Sydney Schaefer & Dr. Keith Lohse Topic Overview: Stroke is responsible for the death of an individual every four minutes in the United States. While all Americans are gravely affected by this statistic, Black Americans are at a significantly increased risk of first stroke incidence when compared to their white counterparts, majorly due to heightened prevalence of stroke risk factors. Not only does race contribute as a factor in stroke incidence, but it also has a considerable impact in the physical impairment of Black Americans following stroke occurrence. While it still remains unclear as to whether or not stroke plays a significant role in stroke rehabilitation efforts, there is a clearly demonstrated need for increased reporting or participation of Black Americans in stroke rehabilitation clinical trials to have the ability to conduct a systematic review of these racial disparities in the near future. In the analysis of 36 stroke rehabilitation-related clinical research studies, 80% of selected trials failed to report any participant racial demographics, with 77.3% of the NIH-funded trials not reporting, as well. Out of the 7 trials that did provide some sort of participant racial information, only 5 successfully provided statistically significant racial data compared to the remainder that simply categorized participants’ race as “white” or “other.” In order to fully investigate the effects of race on stroke rehabilitation, it is imperative that researchers collect and report equally distributed and diverse participant racial data when publishing clinical research. Potential methods of improvement for researchers to include more racially diverse subject populations include more comprehensive and in-depth advertising and recruitment strategies for their studies. Research Methods: In order to produce accurate analyses of the current state of the relationship between race and stroke rehabilitation efforts, 36 stroke rehabilitation clinical research trials from various locations across the United States were identified using the Centralized Open-Access Rehabilitation Database for Stroke (SCOAR). These trials were evaluated in order to extract relevant data, such as number of trial participants, average age of participants, if the research trial was funded by the National Institute of Health (NIH) or not, and any reported participant racial demographic details. Trends across these categories were compared between all trials to determine if any disparities existed in providing data sufficient to support the relationship between varying racial populations and stroke rehabilitation efforts. Future Project Efforts: Future efforts will include the completion of submitting a Point of View/Directions for Research article for publication to offer an opportunity for clinical and basic researchers to examine the discrepancies surrounding racial inclusivity in stroke rehabilitation clinical research. The aim is to improve the ability of clinicians to interpret the literature, translate research studies into practices, and better direct future experiments. Further identification of stroke rehabilitation clinical research trials will be necessary, as well as modifications to current written work content.
ContributorsBeeler, Adeline (Author) / McNally, Mikayla (Co-author) / Schaefer, Sydney (Thesis director) / Lohse, Keith (Committee member) / Barrett, The Honors College (Contributor) / Harrington Bioengineering Program (Contributor)
Created2021-12

A Systematic Review of Racial Inclusivity in Stroke Rehabilitation Research

Description

SUMMARY: A failed attempt to conduct a systematic review of disparities in racial inclusivity in stroke rehabilitation research: A call to action Group Members: Adeline Beeler & Mikayla McNally Faculty Mentor(s): Dr. Sydney Schaefer & Dr. Keith Lohse Topic Overview: Stroke is responsible for the death of an individual every…

SUMMARY: A failed attempt to conduct a systematic review of disparities in racial inclusivity in stroke rehabilitation research: A call to action Group Members: Adeline Beeler & Mikayla McNally Faculty Mentor(s): Dr. Sydney Schaefer & Dr. Keith Lohse Topic Overview: Stroke is responsible for the death of an individual every four minutes in the United States. While all Americans are gravely affected by this statistic, Black Americans are at a significantly increased risk of first stroke incidence when compared to their white counterparts, majorly due to heightened prevalence of stroke risk factors. Not only does race contribute as a factor in stroke incidence, but it also has a considerable impact in the physical impairment of Black Americans following stroke occurrence. While it still remains unclear as to whether or not stroke plays a significant role in stroke rehabilitation efforts, there is a clearly demonstrated need for increased reporting or participation of Black Americans in stroke rehabilitation clinical trials to have the ability to conduct a systematic review of these racial disparities in the near future. In the analysis of 36 stroke rehabilitation-related clinical research studies, 80% of selected trials failed to report any participant racial demographics, with 77.3% of the NIH-funded trials not reporting, as well. Out of the 7 trials that did provide some sort of participant racial information, only 5 successfully provided statistically significant racial data compared to the remainder that simply categorized participants’ race as “white” or “other.” In order to fully investigate the effects of race on stroke rehabilitation, it is imperative that researchers collect and report equally distributed and diverse participant racial data when publishing clinical research. Potential methods of improvement for researchers to include more racially diverse subject populations include more comprehensive and in-depth advertising and recruitment strategies for their studies. Research Methods: In order to produce accurate analyses of the current state of the relationship between race and stroke rehabilitation efforts, 36 stroke rehabilitation clinical research trials from various locations across the United States were identified using the Centralized Open-Access Rehabilitation Database for Stroke (SCOAR). These trials were evaluated in order to extract relevant data, such as number of trial participants, average age of participants, if the research trial was funded by the National Institute of Health (NIH) or not, and any reported participant racial demographic details. Trends across these categories were compared between all trials to determine if any disparities existed in providing data sufficient to support the relationship between varying racial populations and stroke rehabilitation efforts. Future Project Efforts: Future efforts will include the completion of submitting a Point of View/Directions for Research article for publication to offer an opportunity for clinical and basic researchers to examine the discrepancies surrounding racial inclusivity in stroke rehabilitation clinical research. The aim is to improve the ability of clinicians to interpret the literature, translate research studies into practices, and better direct future experiments. Further identification of stroke rehabilitation clinical research trials will be necessary, as well as modifications to current written work content.
ContributorsMcNally, Mikayla (Author) / Beeler, Adeline (Co-author) / Schaefer, Sydney (Thesis director) / Lohse, Keith (Committee member) / Barrett, The Honors College (Contributor) / Watts College of Public Service & Community Solut (Contributor) / Harrington Bioengineering Program (Contributor)
Created2021-12
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Joint control of arm movements during activities of daily living

Description
The ultimate goal of human movement control research is to understand how natural movements performed in daily activities, are controlled. Natural movements require coordination of multiple degrees of freedom (DOF) of the arm. Here, patterns of arm joint control during daily functional tasks were examined, which are performed through rotation…

The ultimate goal of human movement control research is to understand how natural movements performed in daily activities, are controlled. Natural movements require coordination of multiple degrees of freedom (DOF) of the arm. Here, patterns of arm joint control during daily functional tasks were examined, which are performed through rotation of the shoulder, elbow, and wrist with the use of seven DOF: shoulder flexion/extension, abduction/adduction, and internal/external rotation; elbow flexion/extension and pronation/supination; wrist flexion/extension and radial/ulnar deviation. Analyzed movements imitated two activities of daily living: combing the hair and turning the page in a book. Kinematic and kinetic analyses were conducted. The studied kinematic characteristics were displacements of the 7 DOF and contribution of each DOF to hand velocity. The kinetic analysis involved computation of 3-dimensional vectors of muscle torque (MT), interaction torque (IT), gravity torque (GT), and net torque (NT) at the shoulder, elbow, and wrist. Using a relationship NT = MT + GT + IT, the role of active control and the passive factors (gravitation and inter-segmental dynamics) in rotation of each joint was assessed by computing MT contribution (MTC) to NT. MTC was computed using the ratio of the signed MT projection on NT to NT magnitude. Despite the variety of joint movements required across the different tasks, 3 patterns of shoulder and elbow coordination prevailed in each movement: 1) active rotation of the shoulder and predominantly passive rotation of the elbow; 2) active rotation of the elbow and predominantly passive rotation of the shoulder; and 3) passive rotation of both joints. Analysis of wrist control suggested that MT mainly compensates for passive torque and provides adjustment of wrist motion according to requirements of both tasks. The 3 shoulder-elbow coordination patterns during which at least one joint moves largely passively represent joint control primitives underlying performance of well-learned arm movements, although these patterns may be less prevalent during non-habitual movements. The advantage of these control primitives is that they require minimal neural effort for joint coordination, and thus increase neural resources that can be used for cognitive tasks.
ContributorsMarshall, Dirk (Author) / Dounskaia, Natalia (Thesis advisor) / Schaefer, Sydney (Thesis advisor) / Buneo, Christopher (Committee member) / Arizona State University (Publisher)
Created2018
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Joint control during arm movements performed in reaching activities of daily living

Description
The ultimate goal of human movement control research is to understand how natural movements performed in daily reaching activities, are controlled. Natural movements require coordination of multiple degrees of freedom (DOF) of the arm. Patterns of arm joint control were studied during daily functional tasks, which were performed through the…

The ultimate goal of human movement control research is to understand how natural movements performed in daily reaching activities, are controlled. Natural movements require coordination of multiple degrees of freedom (DOF) of the arm. Patterns of arm joint control were studied during daily functional tasks, which were performed through the rotation of seven DOF in the arm. Analyzed movements which imitated the following 3 activities of daily living: moving an empty soda can from a table and placing it on a further position; placing the empty soda can from initial position at table to a position at shoulder level on a shelf; and placing the empty soda can from initial position at table to a position at eye level on a shelf. Kinematic and kinetic analyses were conducted for these three movements. The studied kinematic characteristics were: hand trajectory in the sagittal plane, displacements of the 7 DOF, and contribution of each DOF to hand velocity. The kinetic analysis involved computation of 3-dimensional vectors of muscle torque (MT), interaction torque (IT), gravity torque (GT), and net torque (NT) at the shoulder, elbow, and wrist. Using the relationship NT = MT + GT + IT, the role of active control and passive factors (gravitation and inter-segmental dynamics) in rotation of each joint by computing MT contribution (MTC) to NT was assessed. MTC was computed using the ratio of the signed MT projection on NT to NT magnitude. Despite a variety of joint movements available across the different tasks, 3 patterns of shoulder and elbow coordination prevailed in each movement: 1) active rotation of the shoulder and predominantly passive rotation of the elbow; 2) active rotation of the elbow and predominantly passive rotation of the shoulder; and 3) passive rotation of both joints. Analysis of wrist control suggested that MT mainly compensates for passive torque and provides adjustment of wrist motion according to requirements of each task. In conclusion, it was observed that the 3 shoulder-elbow coordination patterns (during which at least one joint moved) passively represented joint control primitives, underlying the performance of well-learned arm movements, although these patterns may be less prevalent during non-habitual movements.
ContributorsSansgiri, Dattaraj (Author) / Dounskaia, Natalia (Thesis advisor) / Schaefer, Sydney (Thesis advisor) / Buneo, Christopher (Committee member) / Arizona State University (Publisher)
Created2018
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Visual Behavior and Planning for Object Manipulation: Gaze Patterns for Altered Center of Mass

Description
The interaction between visual fixations during planning and performance in a

dexterous task was analyzed. An eye-tracking device was affixed to subjects during

sequences of null (salient center of mass) and weighted (non salient center of mass) trials

with unconstrained precision grasp. Subjects experienced both expected and unexpected

perturbations, with the task of minimizing…

The interaction between visual fixations during planning and performance in a

dexterous task was analyzed. An eye-tracking device was affixed to subjects during

sequences of null (salient center of mass) and weighted (non salient center of mass) trials

with unconstrained precision grasp. Subjects experienced both expected and unexpected

perturbations, with the task of minimizing object roll. Unexpected perturbations were

controlled by switching weights between trials, expected perturbations were controlled by

asking subjects to rotate the object themselves. In all cases subjects were able to

minimize the roll of the object within three trials. Eye fixations were correlated with

object weight for the initial context and for known shifts in center of mass. In subsequent

trials with unexpected weight shifts, subjects appeared to scan areas of interest from both

contexts even after learning present orientation.
ContributorsSmith, Michael David (Author) / Santello, Marco (Thesis advisor) / Buneo, Christopher (Committee member) / Schaefer, Sydney (Committee member) / Arizona State University (Publisher)
Created2017