Professor George Stylios
Professor of Textiles, Heriot Watt University
George K Stylios is Professor of Textiles at HWU where he is working as a senior research professor since 1999 and director of the Research Institute for Flexible Materials; structural mechanics, nanotextiles, SMART textiles, wearables, design/technology. He obtained his PhD from Leeds University working for Marks & Spencer Plc in 1985, became lecturer at Bradford University (1985-1999), Fellow of the National Institute of Advanced Industrial Science and Technology, Japan in 1992, and to a personal chair in Industrial Systems Engineering in 1994 in recognition of his work at the fabric/machine interface. He has led many successful research projects (~ £20 Million) from research councils, the EU and directly from industry and as director he led large government initiatives such as the Regional Innovation Strategy for Yorkshire and Humberside (£14M, 1995-99) and the Faraday Partnership in Technical Textiles (Technitex £7M, 2004-10), working across industry and improving products and processes. For the latter he received 100% in Research Impact for his work in REF14. He has numerous journal publications and PhD completions with most of his PhD students enjoying excellent careers, becoming professors or directors of companies in their own right. GKS has been the founding editor of the International Journal of Science and Technology (1987 – present), Guest Editor for many journals, convener and keynote speaker at many international conferences and events, peer reviewer and advisor to government bodies and industry at home and abroad.
- A Novel Exempt from Motion Artefact Wearable Vest for Continuous Well-being Monitoring
- Reducing motion artefact is challenging in ECG signalling because the spectrum of motion artefact overlaps with the ECG signal. We have studied and compared the performance of the FIR filter, IIR filter, moving average filter, moving median filter, wavelet transform, empirical mode decomposition, and adaptive filter for reducing motion artefact. We found that the adaptive filter using the impedance pneumography signal as the reference input signal performs better than other denoise methods and can effectively reduce the motion artefact in the ECG signal. The well-being device is capable of measuring ECG, respiration, motion and temperature and it is based on low energy, size and weight and on dry hybrid textile electrodes. The optimum textile electrodes are made of silver-plated nylon conductive knitted fabric (MedTexTM P-130) and silver-plated nylon conductive thread 234/34-4ply, according to electrode skin impedance trials. We have finally shown how to purposely design bra vests by an integrated design concept, that eliminates any body movement artefact and without any need of hard wiring for signal fidelity and wearing comfort.