Preliminary Investigations into the Development of Textile Based Temperature Sensor for Healthcare Applications

Husain, Muhammad Dawood; Kennon, Richard

doi:10.3390/fib1010002

Cited by 53 publications

(40 citation statements)

References 7 publications

(6 reference statements)

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“…Temperature Sensors : Textile‐based temperature sensors also show great importance in monitoring the physiological condition of the wearers . The simplest design of textile‐based temperature sensors is through embedding intrinsically thermoresistive metal wires into textile substrates . Usually, metal wires demonstrate a linear response within a large temperature range, with high stability and resistance to other environmental disturbance, while the high rigidity of metal wires restricts the flexibility of the whole e‐textile system, and the sensitivity is usually low (around 0.39% K −1 for Pt wire).…”

Section: Functional Components Of Stimesmentioning

confidence: 99%

Smart Textile‐Integrated Microelectronic Systems for Wearable Applications

et al. 2019

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The programmable nature of smart textiles makes them an indispensable part of an emerging new technology field. Smart textile‐integrated microelectronic systems (STIMES), which combine microelectronics and technology such as artificial intelligence and augmented or virtual reality, have been intensively explored. A vast range of research activities have been reported. Many promising applications in healthcare, the internet of things (IoT), smart city management, robotics, etc., have been demonstrated around the world. A timely overview and comprehensive review of progress of this field in the last five years are provided. Several main aspects are covered: functional materials, major fabrication processes of smart textile components, functional devices, system architectures and heterogeneous integration, wearable applications in human and nonhuman‐related areas, and the safety and security of STIMES. The major types of textile‐integrated nonconventional functional devices are discussed in detail: sensors, actuators, displays, antennas, energy harvesters and their hybrids, batteries and supercapacitors, circuit boards, and memory devices.

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Section: Functional Components Of Stimesmentioning

confidence: 99%

Smart Textile‐Integrated Microelectronic Systems for Wearable Applications

et al. 2019

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“…[21,22] This mini-review focuses on the wearable textile-based strain sensors that are employed to measure physical and environmental signals. [23][24][25][26] Accordingly, they are divided into different categories, such as strain sensors, [27][28][29] pressure sensors, [20,30] temperature sensors, [31][32][33][34] and humidity sensors. [33,35,36] In this section, the working principles of different categories of textile-based strain sensors will be explained.…”

Section: Textile-based Strain Sensormentioning

confidence: 99%

Textile‐Based Strain Sensor for Human Motion Detection

Wang

Zhang

2019

Energy & Environ Materials

193

109

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Human motion analysis consists of real‐time monitoring and recording of human body's kinematics. It is very essential to track ambulatory and daily‐life human motion, which is crucial for many applications and disciplines. Electronic textiles (e‐textiles) afford a valid alternative to traditional solid‐state sensors due to their merits of low cost, lightweight, flexibility, and feasibility to fit various human bodies. In this mini‐review, textile‐based sensor platforms and human motion analysis are well discussed in Section 1. Second, theoretical principles of textile‐based strain sensors are introduced including resistive, capacitive, and piezoelectrical sensors. Section 3 focuses on various types of textile materials that are functionalized as sensing systems by intrinsic or extrinsic modifications. Section 4 summaries various types of e‐textile‐based strain sensors for human motion analysis. The final two sections mainly present perspectives and challenges, and conclusions, respectively.

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“…Body temperature is the most measured vital sign and can be used for diagnostic purposes and for management of the disease process [2][3][4]. A temperature sensing fabric (TSF) has been developed in order to measure the human body temperature in nonclinical environments [5][6][7][8][9]. Before deploying the TSF into the practical environment, a laboratory calibration is necessary, so that the error/accuracy information can be considered during the monitoring of human body temperature.…”

Section: Introductionmentioning

confidence: 99%

“…The TSF is the 8 cm × 8 cm double-layered knitted structure, embedded with a sensing element of fine metallic wire as shown in Figures 1 and 2. A TSF sample of 8 cm × 8 cm sensing area along with a magnified view of the knit structure [6].…”

Section: Introductionmentioning

confidence: 99%

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Uncertainty Analysis of the Temperature–Resistance Relationship of Temperature Sensing Fabric

Husain

Atalay

et al. 2016

Fibers

Self Cite

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This paper reports the uncertainty analysis of the temperature-resistance (TR) data of the newly developed temperature sensing fabric (TSF), which is a double-layer knitted structure fabricated on an electronic flat-bed knitting machine, made of polyester as a basal yarn, and embedded with fine metallic wire as sensing element. The measurement principle of the TSF is identical to temperature resistance detector (RTD); that is, change in resistance due to change in temperature. The regression uncertainty (uncertainty within repeats) and repeatability uncertainty (uncertainty among repeats) were estimated by analysing more than 300 TR experimental repeats of 50 TSF samples. The experiments were performed under dynamic heating and cooling environments on a purpose-built test rig within the temperature range of 20-50 • C. The continuous experimental data was recorded through LabVIEW-based graphical user interface. The result showed that temperature and resistance values were not only repeatable but reproducible, with only minor variations. The regression uncertainty was found to be less than ±0.3 • C; the TSF sample made of Ni and W wires showed regression uncertainty of <±0.13 • C in comparison to Cu-based TSF samples (>±0.18 • C). The cooling TR data showed considerably reduced values (±0.07 • C) of uncertainty in comparison with the heating TR data (±0.24 • C). The repeatability uncertainty was found to be less than ±0.5 • C. By increasing the number of samples and repeats, the uncertainties may be reduced further. The TSF could be used for continuous measurement of the temperature profile on the surface of the human body.

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Preliminary Investigations into the Development of Textile Based Temperature Sensor for Healthcare Applications

Cited by 53 publications

References 7 publications

Smart Textile‐Integrated Microelectronic Systems for Wearable Applications

Smart Textile‐Integrated Microelectronic Systems for Wearable Applications

Textile‐Based Strain Sensor for Human Motion Detection

Uncertainty Analysis of the Temperature–Resistance Relationship of Temperature Sensing Fabric

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