Recent advancements in specialized materials and fabrication technologies offer exciting opportunities to realize seamless garments as sensors and actuators for biomedical applications. Knitting fabrication, known as the inter-meshing of yarns into loops (resulting in fabrics), is an ancient form of textile production widely used in the fashion industry. Knitting technology has gained a lot of attention in the field of wearable electronics and has potential to become a widespread method of construction for smart textiles in the future. In particular, Shima Seiki knitting technology enables customization and innovation in the design and fabrication of wearable smart textiles for biomedical sensing and actuation applications. While most electronic textiles in existence today make use of circuits adhesively integrated onto a host garment, our knitting technology enables the creation of garments with seamlessly integrated sensors and actuators. This type of fabric production offers huge savings in terms of manufacturing costs and significantly reduces material waste, enabling new design approaches and innovation in garment and product development.
The Bellyband fabric antenna sensor, shown in Figure 1, is a new creation that DWSL has made in partnership with Profs. Genevieve Dion, Adam Fontecchio, and Timothy Kurzweg at the Shima Seiki Haute Technology Laboratory, located in the ExCITe Center at Drexel University. Silver-coated yarn is knitted into an antenna pattern using Shima Seiki industrial knitting machines. When the knitted antenna is stretched, the changes in size, shape, and tension in the fabric cause variation in antenna properties, namely a change in its center frequency. This variation is wirelessly detected using passive UHF RFID.
The passive nature of UHF RFID allows the Bellyband sensor to be used without a dedicated power source such as a battery. The Bellyband sensor has been used in two medical applications:
- Contraction monitoring in pregnant women
- Infant respiration monitoring
In addition to the above listed medical applications, DWSL has also been awarded a grant from National Institutes of Health (NIH) sponsored Cyber-Physical Systems (CPS) initiative. This project will integrate smart fabric sensors and actuators into comfortable garment devices providing unobtrusive prevention options for deep venous thrombosis (DVT), that are not currently possible, particularly in high risk patients. In addition, robust and secure algorithms will process the data from these knit strain sensors, fuse it with other data from the patient's medical history and medical practitioner inputs, and enable actuated treatment remotely.
The cumbersome nature of current medical equipment makes continuous medical monitoring impractical. We hope to alleviate such issues faced by contemporary medical equipment to allow for low-cost and effective medical monitoring. To develop such a wearable health monitoring system, Drexel University has formed a multi-disciplinary academic team including expertise from industrial and fashion design, materials and electrical engineering, nursing and medicine, as well as management and entrepreneurship. To complement this academic team, we have also formed a three tier industry partnership representing all levels of production and commercialization: Materials Suppliers, Fabricators, and Commercialization partners (augmented by the industrial advisory board of the Drexel Coulter Translational Research program to help determine commercial viability of various biomedical smart textile solutions and carry promising technologies to the market.
 W. M. Mongan, I. Rasheed, K. Ved, S. Vora, K. Dandekar, G. Dion, T. Kurzweg, and A. Fontecchio, “On the use of radio frequency identification for continuous biomedical monitoring,” in Proceedings of the Second International Conference on Internet-of-Things Design and Implementation, 2017, pp. 197–202. [bib] [paper]
 W. M. Mongan, I. Rasheed, K. Ved, A. Levitt, E. Anday, K. Dandekar, G. Dion, T. Kurzweg, and A. Fontecchio, “Real-time detection of apnea via signal processing of time-series properties of RFID-based smart garments,” in Signal Processing in Medicine and Biology Symposium (SPMB), 2016 IEEE, 2016, pp. 1–6. [bib] [paper]
 Y. Liu, A. Levitt, C. Kara, C. Sahin, G. Dion, and K. R. Dandekar, “An improved design of wearable strain sensor based on knitted RFID technology,” in 2016 IEEE Conference on Antenna Measurements Applications (CAMA), 2016, pp. 1–4. [bib] [paper]
 W. Mongan, E. Anday, G. Dion, A. Fontecchio, K. Joyce, T. Kurzweg, Y. Liu, O. Montgomery, I. Rasheed, C. Sahin, S. Vora, and K. Dandekar, “A multi-disciplinary framework for continuous biomedical monitoring using low-power passive RFID-based wireless wearable sensors,” in Proc. of IEEE International Conference on Smart Computing (SMARTCOMP), 2016. [bib] [paper]
 D. Patron, W. Mongan, T. P. Kurzweg, A. Fontecchio, G. Dion, E. K. Anday, and K. R. Dandekar, “On the use of knitted antennas and inductively coupled RFID tags for wearable applications,” IEEE Transactions on Biomedical Circuits and Systems, 2016. [bib] [paper]
 D. Patron, G. Dion, A. Fontecchio, T. Kurzweg, and K. R. Dandekar, “Wearable biomedical strain sensing via knitted antennas and inductively-coupled RFID tags,” in Proc. of IEEE WAMICON Conference, 2015. [bib]
 D. Patron, K. Gedin, T. Kurzweg, A. Fontecchio, D. G., and K. R. and Dandekar, “A wearable RFID sensor and effects of human body proximity,” in Proc. of 2014 BenMAS Conference, 2014. [bib]
 D. Patron, T. Kurzweg, A. Fontecchio, G. Dion, and K. R. Dandekar, “Wireless strain sensor through a flexible tag antenna employing inductively-coupled RFID microchip,” in Wireless and microwave technology conference (WAMICON), 2014 IEEE 15th annual, 2014, pp. 1–3. [bib] [paper]
- Bellyband featured in National Science Foundation's Science Nation series:
- National Science Foundation Partnerships for Innovation: Building Innovation Capacity (PFI:BIC) subprogram under Grant No. 1430212
- National Institute of Biomedical Imaging and Bioengineering of the National Institutes of Health under award number U01EB023035
- Drexel Coulter Translational Research