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Description:: Stroke affects millions of people each year and although modern medicine has improved chances of survival after stroke, it has not yet been able to affect a change in repairing damaged neural tissue leaving one to two-thirds of survivors with chronic disability in their affected upper-extremity; specifically, hemiparesis, hypertonicity, loss...
Keyword:: Stroke, Pattern Recognition, Hemiparesis, Abnormal Synergy, Rehabilitation, and Machine Learning
Subject:: Robotics
Creator:: Kopke, Joseph
Owner:: Scholarly Digital Publishing
Language:: en
Date Uploaded:: 06/28/2021
Date Created:: 2021-01-01
Resource Type:: Dissertation
Alternate Identifier:: http://dissertations.umi.com/northwestern:15547 and etdadmin_upload_817626

Description:: The dynamics of human joints are fundamental characteristic of the human motor system, and altered joint impedance can hinder mobility. Individuals with transtibial amputation typically experience slower and energetically costly gait, while individuals with chronic stroke experience persisting gait deficits arising from spasticity, hypertonia and paresis. Investigating joint impedance of...
Keyword:: Stroke, Impedance, System Identification, and Rehabilitation
Subject:: Biomedical engineering and Biomechanics
Creator:: Shorter, Amanda L
Owner:: Scholarly Digital Publishing
Language:: en
Date Uploaded:: 04/15/2021
Date Created:: 2020-01-01
Resource Type:: Dissertation
Alternate Identifier:: etdadmin_upload_780328 and http://dissertations.umi.com/northwestern:15392

Description:: Individuals following a stroke suffer from a host of movement impairments that affect the upper extremity. Hand use is often significantly compromised, especially in individuals with more severe impairments, which makes it difficult for individuals to participate in activities of daily living. One of the major goals of rehabilitation is...
Keyword:: Upper Extremity, Stroke, Neuroimaging, Hand, Rehabilitation, and EEG
Subject:: Neurosciences
Creator:: Wilkins, Kevin Bryant
Owner:: Scholarly Digital Publishing
Language:: en
Date Uploaded:: 02/12/2020
Date Created:: 2019-01-01
Resource Type:: Dissertation
Alternate Identifier:: http://dissertations.umi.com/northwestern:14743 and etdadmin_upload_675263

Description:: Individuals with severe motor impairments often have a difficult time performing daily activities, and thus rely heavily on assistive devices to restore some functional independence. The two main limitations of the current controllers for assistive devices are: 1) controllers that do not require coordinated hand movement provide a limited vocabulary...
Keyword:: Human machine interface, Redundancy, Motor learning, Power wheelchair, Rehabilitation, and Motor Noise
Subject:: Biomedical Engineering
Creator:: Elias Thorp
Owner:: Scholarly Digital Publishing
Date Uploaded:: 04/27/2018
Date Modified:: 04/27/2018
Date Created:: 2017-01-01
Resource Type:: Dissertation

Description:: Pattern recognition algorithms have been proposed as a way to control powered lower limb prostheses, specifically for transitioning between the different pre-programmed locomotion modes of the prosthesis (e.g., level ground walking, stair ascent, etc.). However, these algorithms cannot track changes in the statistical characteristics of input signals, and do not...
Keyword:: Prosthetics, Adaptation, Rehabilitation, Engineering, and Machine Learning
Subject:: Biomedical Engineering
Creator:: John Andreou Spanias
Owner:: Scholarly Digital Publishing
Date Uploaded:: 02/13/2018
Date Modified:: 02/13/2018
Date Created:: 2016-01-01
Resource Type:: Dissertation

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