The design and development of textile-based strain sensors has been a focus of research and many investigators have studied this subject. This paper presents a new textile-based strain sensor design and shows the effect of base fabric parameters on its sensing properties. Sensing fabric could be used to measure articulations of the human body in the real environment. The strain sensing fabric was produced by using electronic flat-bed knitting technology; the base fabric was produced with elastomeric yarns in an interlock arrangement and a conductive yarn was embedded in this substrate to create a series of single loop structures. Experimental results show that there is a strong relationship between base fabric parameters and sensor properties.

In this study, weft-knitted strain-sensing structures are described, along with the materials and manufacturing techniques required to produce the fabrics on a computerised flat-bed knitting machine. Knitted sensing fabrics with conductive yarns, i.e. silver-plated nylon yarn and polyester-blended stainless steel yarn have been created with different design possibilities. A laboratory test set-up was built to characterise the knitted sensors and the resulting equivalent resistance under the different level of strains. The most successful samples have been realised through a series of single conductive courses within the interlock base fabric structure using silver-plated nylon in terms of responsivity, repeatability and lower electrical signal drift. Deficiencies associated with strain-sensing structures realised through the intermeshing of conductive yarns have also been addressed.

A temperature sensing fabric is described, along with the manufacturing techniques required to produce the fabric on a computerised flat-bed knitting machine. Knitted sensing fabrics with copper, nickel and tungsten wire elements have been produced with resistances ranging from 3 to 130 Ω. The most successful samples have been created using textile-wrapped, enamelled wire and not only the textile character of the sensing element was enhanced, but also its tensile strength. A mathematical relationship has been derived between the temperature and resistance of the knitted sensors and this can be used to optimise its dimensions to achieve a targeted reference resistance. The temperature-resistance curves demonstrate a linear trend with a coefficient of determination in the range of 0.99–0.999 and can be integrated into garments to monitor skin temperatures.

Human body temperature is an important sign of physical condition in terms of comfort, heat or cold stresses, and of performance. This paper presents the preliminary investigation into the design, manufacturing and testing of the textile based temperature sensor. This sensing fabric may be employed to measure the temperature of the human body on a continuous basis over extensive periods of time, outside the clinical environment. The sensing fabric was manufactured on an industrial scale flat-bed knitting machine by laying-in the sensing element (in the form of fine metal wire) into the double layer knitted structure. The operational principle of the sensing fabric is based on the inherent tendency of metal wire to change in its electrical resistance because of the change in its temperature. An experimental resistance-temperature relationship showed promising validation in comparison with their modeled counterparts.

Continuous measurement of cardio-respiratory signals offers various kinds of information valuable for the diagnosis of disease and management of the disease process. The article reports the development of the Piezofilm yarn sensor for healthcare applications, and investigates its performance by monitoring cardio-respiratory signals of human body over an extended period of time. Piezofilm yarn sensor was developed by embedding the thin PVDF strips within the textile yarn. The working mechanism of the Piezofilm yarn sensor is based on voltage generation due to the applied stress. In order to deploy the Piezofilm yarn sensor in the application environment, it was integrated into the knitted textile fabric and then sewn to form belt to be placed at the chest wall and wrist area. The raw signals were acquired through the Piezofilm lab amplifier, National Instrument data acquisition device and SignalExpress software. Fast Fourier Transform analysis was performed to calculate the average cardio-respiratory signal frequencies. Based on Fast Fourier Transform analysis, an additional signalprocessing step was added to eliminate the unwanted mechanical interference and body signals by using an Infinite Impulse Response band pass filter. The Piezofilm yarn sensor embedded sensing fabric was able to measure both respiratory rate and heart beat rate under static and dynamic conditions. The wrist area measurements for heart beat signals were found to be more uniform in comparison to the chest area measurements. Apart from the general healthcare, this sensing fabric could also be used in studies related to biorhythms, sports, detection of sleep apnea and heart problems.

A test rig is described, for the measurement of temperature and resistance parameters of a Temperature Sensing Fabric (TSF) for calibration purpose. The equipment incorporated a temperature-controlled hotplate, two copper plates, eight thermocouples, a temperature data-logger and a four-wire high-resolution resistance measuring multimeter. The copper plates were positioned above and below the TSF and in physical contact with its surfaces, so that a uniform thermal environment might be provided. The temperature of TSF was estimated by the measurement of temperature profiles of the two copper plates. Temperature-resistance graphs were created for all the tests, which were carried out over the range of 20 to 50°C, and they showed that the temperature and resistance values were not only repeatable but also reproducible, with only minor variations. The comparative analysis between the temperature-resistance test data and the temperature-resistance reference profile showed that the error in estimation of temperature of the sensing element was less than ±0.2°C. It was also found that the rig not only provided a stable and homogenous thermal environment but also offered the capability of accurately measuring the temperature and resistance parameters. The Temperature Sensing Fabric is suitable for integration into garments for continuous measurement of human body temperature in clinical and non-clinical settings.

The principal component of any non-invasive blood pressure measurement system is an inflatable cuff. Different types of fabrics are used for inflatable cuffs construction. In this study, sphygmomanometric blood pressure measurement using inflatable cuffs was simulated in Abaqus and validated through experimental results. The purpose of the simulation is to study the effect of variation in cuff fabric geometric and mechanical properties on pressure distribution and pressure transmission during blood pressure measurement by predicting the pressure at the interface of the blood pressure cuffs and a metal cylinder. Geometric and mechanical properties of the fabrics of four different cuff types were found experimentally. Interface pressure at the cuffs and metal cylinder surface was also found experimentally using Tekscan pressure sensing system for models validation. The results of the simulation showed that the interface pressure underneath the cuffs vary with variation in geometric and mechanical properties of their fabrics. The results of the simulation were found to be in good agreement with experimental findings. This research demonstrates that the pressure distribution under the cuffs is related to the cuffs' fabric geometric and mechanical properties. This means that variation in cuffs' fabric properties could ultimately incur variations in the blood pressure values of human subjects.

Continuous measurement of temperature profiles on the surface of the human body offers various kinds of information valuable for clinical diagnosis and as a useful guide to take suitable action. In this article, the behavior of a newly developed temperature sensing fabric (TSF) over extended periods of time in a practical application and its comparison with a reference temperature sensor was investigated. The performance of the TSF was analyzed by measuring the human body skin temperature under steady-state and dynamic conditions. A dedicated interface was built in the LabVIEW environment to measure and record the temperature readings of the TSF and reference temperature sensor simultaneously. The reference and TSF sensors both followed exactly the same trends and experienced the same type of movement artifacts.