Interface sensor systems for upper limb prosthetics
Interface sensor systems for upper limb prosthetics
Active prosthetic hands could benefit from tactile feedback at the fingers when performing a variety of daily activities, such as grasping and manipulating objects. This requires real-time monitoring of pressure and shear at the interface between the fingers and objects. Although some pressure sensors are available, little work has been reported on sensor systems capable of simultaneous measurement of pressure and shear, despite the fact that shear monitoring is crucial in detecting object slip and movement. Further to this, control of an upper limb prosthesis relies on surface EMG (electromyography) control. This surface interface is a strong contributor to loss of prosthesis control and movement artefacts. In this thesis, a sensor system has been developed, specifically for upper limb prosthetic applications. This platform tri-axial pressure and shear sensor system (TRIPS) was previously developed in the research team which was designed for a range of body interface applications and successfully validated to be applied at stump/socket interface for lower limb amputees. For potentially applications in upper limb prosthetics, TRIPS sensor system has been further developed based on criteria set out in literatures in the fields of EMG stresses and fingertip kinetics. A sensor accuracy of 10% was considered acceptable for the prototype sensor system and this was validated using calibration equipment and techniques developed in this thesis. Following sensor development, the sensor system was utilised to capture various stresses, typical in an active upper limb prosthesis. This included the EMG electrode-socket interface and the fingertip-object interface. To provide initial data, a socket-simulator was developed, which allowed testing with intact participants prior to recruiting limb-loss patients. The stresses at these interfaces were analysed and potential patterns recognised. This sensor system provides the capability to quantify these stresses and to create active prosthetics which are more reliable and easier to use.
University of Southampton
Hale, Nicholas
3efb2814-5536-480d-897e-f15985accdee
December 2020
Hale, Nicholas
3efb2814-5536-480d-897e-f15985accdee
Jiang, Liudi
374f2414-51f0-418f-a316-e7db0d6dc4d1
Hale, Nicholas
(2020)
Interface sensor systems for upper limb prosthetics.
University of Southampton, Doctoral Thesis, 252pp.
Record type:
Thesis
(Doctoral)
Abstract
Active prosthetic hands could benefit from tactile feedback at the fingers when performing a variety of daily activities, such as grasping and manipulating objects. This requires real-time monitoring of pressure and shear at the interface between the fingers and objects. Although some pressure sensors are available, little work has been reported on sensor systems capable of simultaneous measurement of pressure and shear, despite the fact that shear monitoring is crucial in detecting object slip and movement. Further to this, control of an upper limb prosthesis relies on surface EMG (electromyography) control. This surface interface is a strong contributor to loss of prosthesis control and movement artefacts. In this thesis, a sensor system has been developed, specifically for upper limb prosthetic applications. This platform tri-axial pressure and shear sensor system (TRIPS) was previously developed in the research team which was designed for a range of body interface applications and successfully validated to be applied at stump/socket interface for lower limb amputees. For potentially applications in upper limb prosthetics, TRIPS sensor system has been further developed based on criteria set out in literatures in the fields of EMG stresses and fingertip kinetics. A sensor accuracy of 10% was considered acceptable for the prototype sensor system and this was validated using calibration equipment and techniques developed in this thesis. Following sensor development, the sensor system was utilised to capture various stresses, typical in an active upper limb prosthesis. This included the EMG electrode-socket interface and the fingertip-object interface. To provide initial data, a socket-simulator was developed, which allowed testing with intact participants prior to recruiting limb-loss patients. The stresses at these interfaces were analysed and potential patterns recognised. This sensor system provides the capability to quantify these stresses and to create active prosthetics which are more reliable and easier to use.
Text
NicholasHale_PhD_Thesis_EngMats_11122020
Text
PTD_thesis_Hale-SIGNED
Restricted to Repository staff only
More information
Published date: December 2020
Identifiers
Local EPrints ID: 448497
URI: http://eprints.soton.ac.uk/id/eprint/448497
PURE UUID: ae957c1a-4070-41e2-9893-d21b50f7014b
Catalogue record
Date deposited: 23 Apr 2021 16:32
Last modified: 17 Mar 2024 06:31
Export record
Contributors
Author:
Nicholas Hale
Download statistics
Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.
View more statistics