Skin Temperature Prediction in Lower Limb Prostheses.
Saved in:
| Title: | Skin Temperature Prediction in Lower Limb Prostheses. |
|---|---|
| Authors: | Mathur, Neha1, Glesk, Ivan1, Buis, Arjan2 |
| Source: | IEEE Journal of Biomedical & Health Informatics. Jan2016, Vol. 20 Issue 1, p158-165. 8p. |
| Subjects: | Artificial legs, Skin temperature, Gaussian processes, Machine learning, Residual limbs |
| Abstract: | Increased temperature and perspiration within a prosthetic socket is a common complaint of many amputees. The heat dissipation in prosthetic sockets is greatly influenced by the thermal conductive properties of the socket and interface liner materials. These materials influence the body's temperature regulation mechanism and might be the reason for thermal discomfort in prosthetic sockets. Monitoring interface temperature at skin level is notoriously complicated. The problem might be considered notorious because embedding wires and sensors in an elastomer eventually results in elastomer failures because of the high strain induced when donning a liner (amputees roll the liners onto their limbs). Another reason is because placing sensors and wires directly against the skin could cause irritation and chaffing over just a short period of time. We describe a route wherein if the thermal properties of the socket and liner materials are known, the in-socket residual limb temperature could be accurately predicted by monitoring the temperature between socket and liner rather than skin and liner using the Gaussian process technique. [ABSTRACT FROM PUBLISHER] |
| Copyright of IEEE Journal of Biomedical & Health Informatics is the property of IEEE 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.) | |
| Database: | Engineering Source |
| FullText | Text: Availability: 0 |
|---|---|
| Header | DbId: egs DbLabel: Engineering Source An: 112077368 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
| IllustrationInfo | |
| Items | – Name: Title Label: Title Group: Ti Data: Skin Temperature Prediction in Lower Limb Prostheses. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Mathur%2C+Neha%22">Mathur, Neha</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Glesk%2C+Ivan%22">Glesk, Ivan</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Buis%2C+Arjan%22">Buis, Arjan</searchLink><relatesTo>2</relatesTo> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22IEEE+Journal+of+Biomedical+%26+Health+Informatics%22">IEEE Journal of Biomedical & Health Informatics</searchLink>. Jan2016, Vol. 20 Issue 1, p158-165. 8p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Artificial+legs%22">Artificial legs</searchLink><br /><searchLink fieldCode="DE" term="%22Skin+temperature%22">Skin temperature</searchLink><br /><searchLink fieldCode="DE" term="%22Gaussian+processes%22">Gaussian processes</searchLink><br /><searchLink fieldCode="DE" term="%22Machine+learning%22">Machine learning</searchLink><br /><searchLink fieldCode="DE" term="%22Residual+limbs%22">Residual limbs</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Increased temperature and perspiration within a prosthetic socket is a common complaint of many amputees. The heat dissipation in prosthetic sockets is greatly influenced by the thermal conductive properties of the socket and interface liner materials. These materials influence the body's temperature regulation mechanism and might be the reason for thermal discomfort in prosthetic sockets. Monitoring interface temperature at skin level is notoriously complicated. The problem might be considered notorious because embedding wires and sensors in an elastomer eventually results in elastomer failures because of the high strain induced when donning a liner (amputees roll the liners onto their limbs). Another reason is because placing sensors and wires directly against the skin could cause irritation and chaffing over just a short period of time. We describe a route wherein if the thermal properties of the socket and liner materials are known, the in-socket residual limb temperature could be accurately predicted by monitoring the temperature between socket and liner rather than skin and liner using the Gaussian process technique. [ABSTRACT FROM PUBLISHER] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of IEEE Journal of Biomedical & Health Informatics is the property of IEEE 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.) |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=112077368 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1109/JBHI.2014.2368774 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 8 StartPage: 158 Subjects: – SubjectFull: Artificial legs Type: general – SubjectFull: Skin temperature Type: general – SubjectFull: Gaussian processes Type: general – SubjectFull: Machine learning Type: general – SubjectFull: Residual limbs Type: general Titles: – TitleFull: Skin Temperature Prediction in Lower Limb Prostheses. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Mathur, Neha – PersonEntity: Name: NameFull: Glesk, Ivan – PersonEntity: Name: NameFull: Buis, Arjan IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Text: Jan2016 Type: published Y: 2016 Identifiers: – Type: issn-print Value: 21682194 Numbering: – Type: volume Value: 20 – Type: issue Value: 1 Titles: – TitleFull: IEEE Journal of Biomedical & Health Informatics Type: main |
| ResultId | 1 |
