Development of a Body-Worn Textile-Based Strain Sensor: Application to Diabetic Foot Assessment

Diabetic Foot Ulcers (DFUs) are a significant health and economic burden, potentially leading to limb amputation, with a severe impact on a person's quality of life. During active movements like gait, the monitoring of shear has been suggested as an important factor for effective prevention of DFUs. It is proposed that, in textiles, strain can be measured as a proxy for shear stress at the skin. This paper presents the conceptualisation and development of a novel strain-sensing approach that can be unobtrusively integrated within sock textiles and worn within the shoe. Working with close clinical and patient engagement, a sensor specification was identified, and 12 load-sensing approaches for the prevention of DFU were evaluated. A lead concept using a conductive adhesive was selected for further development. The method was developed using a Lycra sample, before being translated onto a knitted 'sock' substrate. The resultant strain sensor can be integrated within mass-produced textiles fabricated using industrial knitting machines. A case-study was used to demonstrate a proof-of-concept version of the strain sensor, which changes resistance with applied mechanical strain. A range of static and dynamic laboratory testing was used to assess the sensor's performance, which demonstrated a resolution of 0.013 Ω across a range of 0-430 Ω and a range of interest of 0-20 Ω. In cyclic testing, the sensor exhibited a cyclic strain threshold of 6% and a sensitivity gradient of 0.3 ± 0.02, with a low dynamic drift of 0.039 to 0.045% of the total range. Overall, this work demonstrates a viable textile-based strain sensor capable of integration within worn knitted structures. It provides a promising first step towards developing a sock-based strain sensor for the prevention of DFU formation.

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Journal
Sensors
Published
2025-03-26
DOI
https://doi.org/10.3390/s25072057
Citations
1
Primary Topic
Diabetic Foot Ulcer Assessment and Management
Type
article
Field-Weighted Citation Impact
1.29

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article

Development of a Body-Worn Textile-Based Strain Sensor: Application to Diabetic Foot Assessment

Peter Culmer, Giorgio Orlando, Prabhuraj D. Venkatraman, Neil D. Reeves et al.
1 citations
Sensors
Diabetic Foot Ulcer Assessment and Management
1.29
article

Development of a Body-Worn Textile-Based Strain Sensor: Application to Diabetic Foot Assessment

Peter Culmer, Giorgio Orlando, Prabhuraj D. Venkatraman, Neil D. Reeves, Rory Peter Turnbull, Katherine Bradbury, Jenny Corser, Irantzu Yoldi
article en
1 citations

Abstract

Diabetic Foot Ulcers (DFUs) are a significant health and economic burden, potentially leading to limb amputation, with a severe impact on a person's quality of life. During active movements like gait, the monitoring of shear has been suggested as an important factor for effective prevention of DFUs. It is proposed that, in textiles, strain can be measured as a proxy for shear stress at the skin. This paper presents the conceptualisation and development of a novel strain-sensing approach that can be unobtrusively integrated within sock textiles and worn within the shoe. Working with close clinical and patient engagement, a sensor specification was identified, and 12 load-sensing approaches for the prevention of DFU were evaluated. A lead concept using a conductive adhesive was selected for further development. The method was developed using a Lycra sample, before being translated onto a knitted 'sock' substrate. The resultant strain sensor can be integrated within mass-produced textiles fabricated using industrial knitting machines. A case-study was used to demonstrate a proof-of-concept version of the strain sensor, which changes resistance with applied mechanical strain. A range of static and dynamic laboratory testing was used to assess the sensor's performance, which demonstrated a resolution of 0.013 Ω across a range of 0-430 Ω and a range of interest of 0-20 Ω. In cyclic testing, the sensor exhibited a cyclic strain threshold of 6% and a sensitivity gradient of 0.3 ± 0.02, with a low dynamic drift of 0.039 to 0.045% of the total range. Overall, this work demonstrates a viable textile-based strain sensor capable of integration within worn knitted structures. It provides a promising first step towards developing a sock-based strain sensor for the prevention of DFU formation.

SensorsVol. 25(7)
Manchester Metropolitan University (GB), University of Leeds (GB), University of East London (GB), University of Southampton (GB), Lancaster University (GB)
Engineering and Physical Sciences Research Council
Openalex Percentile: Top 21%
Diabetic Foot Ulcer Assessment and Management
1.29
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