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Understanding Control of the Shoulder after Stroke Towards Myoelectric Control of Vertical Support to Improve Reach

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
Pattern Recognition-Based Myoelectric Control of Partial-Hand Prostheses

Description:

Pattern recognition-based myoelectric control of upper limb prostheses has been made clinically available to individuals with more proximal upper limb amputations and can restore intuitive control of a prosthetic hand. This control method has yet to be implemented for individuals with amputations distal to the wrist (i.e. partial-hand amputations) and...

Keyword:

Pattern Recognition, Partial hand amputee, Intrinsic hand muscle, and myoelectric control

Subject:

Biomedical Engineering

Creator:

Adenike Adewuyi

Owner:

Scholarly Digital Publishing

Date Uploaded:

02/12/2018

Date Modified:

02/13/2018

Date Created:

2016-01-01

Resource Type:

Dissertation

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Understanding Control of the Shoulder after Stroke Towards Myoelectric Control of Vertical Support to Improve Reach

Pattern Recognition-Based Myoelectric Control of Partial-Hand Prostheses

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