A Linear Wide-Range Textile Pressure Sensor Integrally Embedded in Regular Fabric

Lin, Xichen; Seet, Boon‐Chong

doi:10.1109/jsen.2015.2453214

Cited by 38 publications

(11 citation statements)

References 7 publications

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“…In 2012 the researchers then used 8 of these fabric sensors integrated with an insole to measure the plantar pressure distribution of people with diabetes [64]. In 2015 Lin et al [65] implemented a textile pressure sensor using knitting technique and a sensing matrix was integrated with a sock for measuring pressure in 2017 [41].…”

Section: A Resistive Sensorsmentioning

confidence: 99%

A Review of Wearable Sensor Systems to Monitor Plantar Loading in the Assessment of Diabetic Foot Ulcers

Wang

Jones

Chapman

et al. 2020

IEEE Trans. Biomed. Eng.

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Diabetes is highly prevalent throughout the world and imposes a high economic cost on countries at all income levels. Foot ulceration is one devastating consequence of diabetes, which can lead to amputation and mortality. Clinical assessment of diabetic foot ulcer (DFU) is currently subjective and limited, impeding effective diagnosis, treatment and prevention. Studies have shown that pressure and shear stress at the plantar surface of the foot plays an important role in the development of DFUs. Quantification of these could provide an improved means of assessment of the risk of developing DFUs. However, commerciallyavailable sensing technology can only measure plantar pressures, neglecting shear stresses and thus limiting their clinical utility. Research into new sensor systems which can measure both plantar pressure and shear stresses are thus critical. Our aim in this paper is to provide the reader with an overview of recent advances in plantar pressure and stress sensing and offer insights into future needs in this critical area of healthcare. Firstly, we use current clinical understanding as the basis to define requirements for wearable sensor systems capable of assessing DFU. Secondly, we review the fundamental sensing technologies employed in this field and investigate the capabilities of the resultant wearable systems, including both commercial and research-grade equipment. Finally, we discuss research trends, ongoing challenges and future opportunities for improved sensing technologies to monitor plantar loading in the diabetic foot.

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Section: A Resistive Sensorsmentioning

confidence: 99%

A Review of Wearable Sensor Systems to Monitor Plantar Loading in the Assessment of Diabetic Foot Ulcers

Wang

Jones

Chapman

et al. 2020

IEEE Trans. Biomed. Eng.

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“…For both parameters (d and φ), their values stay relatively constant for a given user. Thus, the system requires only an one-time calibration for a user, instead of a calibration for every wearing instance even with the same user, entailing a lower calibration overhead than prior works [44,45,60,65].…”

Section: Inference Of Joint Anglementioning

confidence: 99%

Reconstructing Human Joint Motion with Computational Fabrics

Liu

Shao

Wang

et al. 2019

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol.

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Accurate and continuous monitoring of joint rotational motion is crucial for a wide range of applications such as physical rehabilitation [6, 85] and motion training [22, 54, 68]. Existing motion capture systems, however, either need instrumentation of the environment, or fail to track arbitrary joint motion, or impose wearing discomfort by requiring rigid electrical sensors right around the joint area. This work studies the use of everyday fabrics as a flexible and soft sensing medium to monitor joint angular motion accurately and reliably. Specifically we focus on the primary use of conductive stretchable fabrics to sense the skin deformation during joint motion and infer the joint rotational angle. We tackle challenges of fabric sensing originated by the inherent properties of elastic materials by leveraging two types of sensing fabric and characterizing their properties based on models in material science. We apply models from bio-mechanics to infer joint angles and propose the use of dual strain sensing to enhance sensing robustness against user diversity and fabric position offsets. We fabricate prototypes using off-the-shelf fabrics and micro-controller. Experiments with ten participants show 9.69 • median angular error in tracking joint angle and its sensing robustness across various users and activities. CCS Concepts: • Human-centered computing → Ubiquitous and mobile computing systems and tools; Ambient intelligence.

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“…However, this type of model is applied to simplify the behavior of the muscular layers and conductors of the transfer of forces. For force values, this paper was based on the work [Lin and Seet 2015]. Which uses a voltage divider to check the intensity at each layer hold level.…”

Section: Background and Motivationmentioning

confidence: 99%

Smart Glove Deployment for End-to-End Experimenting Palmar Pressure Assessments using Wearable IoT Technologies

Junior

Veloso²,

Sobral³

et al. 2019

Anais Do Simpósio Brasileiro De Computação Ubíqua E Pervasiva (SBCUP)

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Nas avaliações funcionais (FE), a falta de equipamentos tecnológicos para experimentos de preensão manual de mão cria dificuldades em oferecer feedback aos fisioterapeutas, como a quantidade ideal de força a ser aplicada em cada experimento de preensão. Como resultado, um protótipo inicial para estudar a quantidade de força envolvida nesses experimentos foi criado. O hardware tem comunicação sem fio interagindo com um aplicativo móvel. No atual estado da arte, existe uma arquitetura de baixo custo de operação e produção de hardware, possibilitando seu uso e adesão em estudos terapêuticos com demanda tecnológica. Para identificar a força de preensão, foram utilizados sensores piezoresistivos como sensores de toque na ponta dos dedos. O hardware é equipado com recursos para receber e armazenar dados on-line de cada experimento, enviando os resultados para a nuvem e fornecendo acesso a dados históricos. Experimentos foram realizados para determinar a viabilidade e desempenho de cada sensor de ponta do dedo. Os resultados mostram que a luva inteligente pode detectar a força de preensão e comunicar os dados sem problemas.

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A Linear Wide-Range Textile Pressure Sensor Integrally Embedded in Regular Fabric

Cited by 38 publications

References 7 publications

A Review of Wearable Sensor Systems to Monitor Plantar Loading in the Assessment of Diabetic Foot Ulcers

A Review of Wearable Sensor Systems to Monitor Plantar Loading in the Assessment of Diabetic Foot Ulcers

Reconstructing Human Joint Motion with Computational Fabrics

Smart Glove Deployment for End-to-End Experimenting Palmar Pressure Assessments using Wearable IoT Technologies

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