Recent Developments in Prosthesis Sensors, Texture Recognition, and Sensory Stimulation for Upper Limb Prostheses.

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Title: Recent Developments in Prosthesis Sensors, Texture Recognition, and Sensory Stimulation for Upper Limb Prostheses.
Authors: Masteller, Andrew1 (AUTHOR), Sankar, Sriramana1 (AUTHOR), Kim, Han Biehn1 (AUTHOR), Ding, Keqin1 (AUTHOR), Liu, Xiaogang2,3 (AUTHOR) xiaogangliu@nus.edu.sg, All, Angelo H.4 (AUTHOR) angelo@hkbu.edu.hk
Source: Annals of Biomedical Engineering. 2021, Vol. 49 Issue 1, p57-74. 18p.
Subjects: Sensory stimulation, Neuroprostheses, Prosthetics, Somatic sensation, Artificial legs, Artificial arms
Abstract: Current developments being made in upper limb prostheses are focused on replacing lost sensory information to the amputees. Providing sensory stimulation from the prosthesis can directly improve control over the prosthetic and provide a sense of body ownership. The focus of this review article is on recent developments while including foundational knowledge for some of the critical concepts in neural prostheses. Reported concepts follow the flow of information from sensors to signal processing, with emphasis on texture recognition, and then to sensory stimulation strategies that reestablish the lost sensory feedback loop. Prosthetic sensors are used to detect the physical environment, converting pressure, force, and position into electrical signals. The electrical signals can then be processed in an effort to identify the surrounding environment using distinctive characteristics such as stiffness and texture. In order for the amputee to use this information in a natural manner, there must be real-time sensory stimulation, perception, and motor control of the prosthesis. Although truly complete sensory replacement has not yet been realized, some basic percepts can be partially restored, allowing progress towards a more realistic prosthesis with natural sensations. [ABSTRACT FROM AUTHOR]
Copyright of Annals of Biomedical Engineering is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: Recent Developments in Prosthesis Sensors, Texture Recognition, and Sensory Stimulation for Upper Limb Prostheses.
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  Data: <searchLink fieldCode="JN" term="%22Annals+of+Biomedical+Engineering%22">Annals of Biomedical Engineering</searchLink>. 2021, Vol. 49 Issue 1, p57-74. 18p.
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  Data: <searchLink fieldCode="DE" term="%22Sensory+stimulation%22">Sensory stimulation</searchLink><br /><searchLink fieldCode="DE" term="%22Neuroprostheses%22">Neuroprostheses</searchLink><br /><searchLink fieldCode="DE" term="%22Prosthetics%22">Prosthetics</searchLink><br /><searchLink fieldCode="DE" term="%22Somatic+sensation%22">Somatic sensation</searchLink><br /><searchLink fieldCode="DE" term="%22Artificial+legs%22">Artificial legs</searchLink><br /><searchLink fieldCode="DE" term="%22Artificial+arms%22">Artificial arms</searchLink>
– Name: Abstract
  Label: Abstract
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  Data: Current developments being made in upper limb prostheses are focused on replacing lost sensory information to the amputees. Providing sensory stimulation from the prosthesis can directly improve control over the prosthetic and provide a sense of body ownership. The focus of this review article is on recent developments while including foundational knowledge for some of the critical concepts in neural prostheses. Reported concepts follow the flow of information from sensors to signal processing, with emphasis on texture recognition, and then to sensory stimulation strategies that reestablish the lost sensory feedback loop. Prosthetic sensors are used to detect the physical environment, converting pressure, force, and position into electrical signals. The electrical signals can then be processed in an effort to identify the surrounding environment using distinctive characteristics such as stiffness and texture. In order for the amputee to use this information in a natural manner, there must be real-time sensory stimulation, perception, and motor control of the prosthesis. Although truly complete sensory replacement has not yet been realized, some basic percepts can be partially restored, allowing progress towards a more realistic prosthesis with natural sensations. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Annals of Biomedical Engineering is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1007/s10439-020-02678-8
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        Text: English
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      – SubjectFull: Sensory stimulation
        Type: general
      – SubjectFull: Neuroprostheses
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      – SubjectFull: Prosthetics
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      – SubjectFull: Somatic sensation
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      – SubjectFull: Artificial legs
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      – SubjectFull: Artificial arms
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      – TitleFull: Recent Developments in Prosthesis Sensors, Texture Recognition, and Sensory Stimulation for Upper Limb Prostheses.
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              Text: 2021
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