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An Adaptive Pattern Recognition Algorithm for a Powered Lower Limb Prosthesis

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
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

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An Adaptive Pattern Recognition Algorithm for a Powered Lower Limb Prosthesis

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

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