Skin temperature prediction in lower limb prostheses

Neha Mathur, Ivan Glesk, Arjan Buis

Research output: Contribution to journalArticle

16 Citations (Scopus)

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 & 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 Processes technique.
LanguageEnglish
Pages158-165
Number of pages8
JournalIEEE Journal of Biomedical and Health Informatics
Volume20
Issue number1
Early online date7 Nov 2014
DOIs
Publication statusPublished - 2015

Fingerprint

Skin Temperature
Prosthetics
Prostheses and Implants
Lower Extremity
Skin
Hot Temperature
Elastomers
Amputees
Temperature
Extremities
Body Temperature Regulation
Wire
Monitoring
Sensors
Heat losses
Thermodynamic properties

Keywords

  • Gaussian process for machine learning
  • lower limb prosthetics
  • modeling
  • skin temperature
  • in - socket residual limb temperature
  • lower limb amputees
  • skin health

Cite this

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Skin temperature prediction in lower limb prostheses. / Mathur, Neha; Glesk, Ivan; Buis, Arjan.

In: IEEE Journal of Biomedical and Health Informatics, Vol. 20, No. 1, 2015, p. 158-165.

Research output: Contribution to journalArticle

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