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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
Engineering the Control and Learning of a Human Machine Interface

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

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An Adaptive Pattern Recognition Algorithm for a Powered Lower Limb Prosthesis

Engineering the Control and Learning of a Human Machine Interface

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