Dr Andrew Tizzard
Name | Dr Andrew Tizzard |
---|---|
Job title | Associate Professor in Bio-engineering |
Research institute | |
Primary appointment | Natural Sciences |
ORCID | https://orcid.org/0000-0002-6159-4901 |
Contact category | Academic staff (past) |
Biography
Biography Dr Tizzard joined Middlesex University in 1986 when it was Middlesex Polytechnic. He was previously a Teaching Company Associate with Imperial College and Phillips (UK) Ltd working on an innovative automated television assembly line. Prior to that he was a Manufacturing Engineer and then a Design Engineer with a Ministry of Defence contractor. During that time he worked on a number of projects including Nimrod ground replay systems and early thermal imaging devices. His first degree is in Mechanical Engineering from Brunel University with Biomedical Engineering Specialsm in the final year. He gained a masters from Imperial College in Computing and his PhD from Middlesex. He is a Chartered Engineer with the Institution of Engineering Designers.
Teaching Biomodelling, Medical Instrumentation, Medical Engineering, Physiological Measurement, Modelling and Simulation, Engineering Design, Engineering Mathematics, Research Methods (including statistical analysis), Engineering Science. Programme Leader BEng Biomedical Engineering
Employment
Education and qualifications
Grants
Prizes and Awards
Research outputs
Cross-sectional chest circumference and shape development in infants
Seifnaraghi, N., de Gelidi, S., Frerichs, I., Kallio, M., Sorantin, E., Tizzard, A., Demosthenous, A. and Bayford, R. 2022. Cross-sectional chest circumference and shape development in infants. BMC Research Notes. 15 (1), pp. 1-5. https://doi.org/10.1186/s13104-022-06087-zModel selection based algorithm in neonatal Chest EIT
Seifnaraghi, N., de Gelidi, S., Nordebo, S., Kallio, M., Frerichs, I., Tizzard, A., Suo-Palosaari, M., Sophocleous, L., van Kaam, A., Sorantin, E., Demosthenous, A. and Bayford, R. 2021. Model selection based algorithm in neonatal Chest EIT. IEEE Transactions on Biomedical Engineering. 68 (9), pp. 2752-2763. https://doi.org/10.1109/TBME.2021.3053463Towards a thoracic conductive phantom for EIT
de Gelidi, S., Seifnaraghi, N., Bardill, A., Wu, Y., Frerichs, I., Demosthenous, A., Tizzard, A. and Bayford, R. 2020. Towards a thoracic conductive phantom for EIT. Medical Engineering and Physics. 77, pp. 88-94. https://doi.org/10.1016/j.medengphy.2019.10.008Torso shape detection to improve lung monitoring
de Gelidi, S., Seifnaraghi, N., Bardill, A., Tizzard, A., Wu, Y., Sorantin, E., Nordebo, S., Demosthenous, A. and Bayford, R. 2018. Torso shape detection to improve lung monitoring. Physiological Measurement. 39 (7). https://doi.org/10.1088/1361-6579/aacc1cEstimation of thorax shape for forward modelling in lungs EIT
Seifnaraghi, N., Tizzard, A., de Gelidi, S., Khodadad, D., Nordebo, S., Van Kaam, A., Frerichs, I., Waldmann, A., Sorantin, E., Tschauner, S., Demosthenous, A., Christofides, S. and Bayford, R. 2017. Estimation of thorax shape for forward modelling in lungs EIT. 18th International Conference on Biomedical Applications of Electrical Impedance Tomography. Hanover, New Hampshire, USA 21 - 24 Jun 2017 Thayer School of Engineering at Dartmouth. pp. 58-58 https://doi.org/10.5281/zenodo.557093Torso shape detection to improve lung monitoring
de Gelidi, S., Bardill, A., Wu, Y., Demosthenous, A., Tizzard, A. and Bayford, R. 2017. Torso shape detection to improve lung monitoring. 18th International Conference on Biomedical Applications of Electrical Impedance Tomography. Hanover, New Hampshire, USA 21 - 24 Jun 2017 Thayer School of Engineering at Dartmouth. pp. 25-25 https://doi.org/10.5281/zenodo.557093Rapid generation of subject-specific thorax forward models
Tizzard, A. and Bayford, R. 2017. Rapid generation of subject-specific thorax forward models. 18th International Conference on Biomedical Applications of Electrical Impedance Tomography. Hanover, New Hampshire, USA 21 - 24 Jun 2017 Thayer School of Engineering at Dartmouth. pp. 20-20 https://doi.org/10.5281/zenodo.557093Detecting colorectal cancer using electrical impedance spectroscopy: an ex vivo feasibility study
Pathiraja, A., Ziprin, P., Shiraz, A., Mirnezami, R., Tizzard, A., Brown, B., Demosthenous, A. and Bayford, R. 2017. Detecting colorectal cancer using electrical impedance spectroscopy: an ex vivo feasibility study. Physiological Measurement. 38 (6), pp. 1278-1288. https://doi.org/10.1088/1361-6579/aa68ceAlternate algorithm to reconstruct shape in wearable device
Tizzard, A., Demosthenous, A. and Bayford, R. 2016. Alternate algorithm to reconstruct shape in wearable device. 16th International Conference on Electrical Bio-Impedance (ICEBI) and 17th International Conference on Electrical Impedance Tomography (EIT). Stockholm 19 - 23 Jun 2016 Zenodo. pp. 128 https://doi.org/10.5281/zenodo.55753Continuous Regional Analysis Device for Neonates Lung (CRADL)
Bayford, R., Tizzard, A., Frerichs, I., Weiler, N., Karaoli, C., Christofides, S., Yiannakkaras, C., Rimensberger, P., Nordebo, S., Böhm, S., van Kaam, A., Fifield, B., Knox, C., Steuten, L., de Graaf, G., Yerworth, R., Butterworth, M. and Demosthenous, A. 2016. Continuous Regional Analysis Device for Neonates Lung (CRADL). MEDICON 2016: XIV Mediterranean Conference on Medical and Biological Engineering and Computing 2016. Paphos, Cyprus. 31 Mar - 02 Apr 2016 Springer. pp. 172 https://doi.org/10.1007/978-3-319-32703-7_35Wearable sensors for patient-specific boundary shape estimation to improve the forward model for electrical impedance tomography (EIT) of neonatal lung function
Khor, J., Tizzard, A., Demosthenous, A. and Bayford, R. 2014. Wearable sensors for patient-specific boundary shape estimation to improve the forward model for electrical impedance tomography (EIT) of neonatal lung function. Physiological Measurement. 35 (6), pp. 1149-1161. https://doi.org/10.1088/0967-3334/35/6/1149Improving the forward model for electrical impedance tomography of brain function through rapid generation of subject specific finite element models
Tizzard, A. 2007. Improving the forward model for electrical impedance tomography of brain function through rapid generation of subject specific finite element models. PhD thesis Middlesex University Natural Sciences / Product Design and EngineeringEffects of warping finite element meshes for the forward model of the head in EIT
Tizzard, A., Bayford, R., Horesh, L., Yerworth, R. and Holder, D. 2004. Effects of warping finite element meshes for the forward model of the head in EIT. in: Nowakowski, A. (ed.) Proceedings of the XII International Conference of Electrical Bioimpedance & V Electrical Impedance Tomography Gdansk, Poland Gdansk University of Technology.Bioimpedance imaging: an overview of potential clinical applications
Bayford, R. and Tizzard, A. 2012. Bioimpedance imaging: an overview of potential clinical applications. Analyst. 137 (20), pp. 4635-4643. https://doi.org/10.1039/C2AN35874CNew imaging mapping device for the detection and location of rectal cancer
Bayford, R., Borsic, A., Tizzard, A., Kantartzis, P., Liatsis, P. and Demosthenous, A. 2012. New imaging mapping device for the detection and location of rectal cancer. 13th International Conference on Electrical Impedance Tomography (EIT 2012). Tianjin, China 23 - 25 May 2012Tracking conductivity variations in the absence of accurate state evolution models in electrical impedance tomography
Hashemzadeh, P., Sahota, V., Callaghan, M., El Dib, H., Tizzard, A., Svensson, L. and Bayford, R. 2010. Tracking conductivity variations in the absence of accurate state evolution models in electrical impedance tomography. in: 4th International Conference on Bioinformatics and Biomedical Engineering (iCBBE), 2010 IEEE. pp. 1-6Generation and performance of patient-specific forward models for breast imaging with EIT
Tizzard, A., Borsic, A., Halter, R. and Bayford, R. 2010. Generation and performance of patient-specific forward models for breast imaging with EIT. Journal of Physics: Conference Series. 224 (1), pp. 1-4. https://doi.org/10.1088/1742-6596/224/1/012034GREIT: a unified approach to 2D linear EIT reconstruction of lung images
Adler, A., Arnold, J., Bayford, R., Borsic, A., Brown, B., Dixon, P., Faes, T., Frerichs, I., Gagnon, H., Garber, Y., Grychtol, B., Hahn, G., Lionheart, W., Malik, A., Patterson, R., Stocks, J., Tizzard, A., Weiler, N. and Wolf, G. 2009. GREIT: a unified approach to 2D linear EIT reconstruction of lung images. Physiological Measurement. 30 (6), pp. S35-S55. https://doi.org/10.1088/0967-3334/30/6/S03A comparison study of electrodes for neonate electrical impedance tomography
Rahal, M., Khor, J., Demosthenous, A., Tizzard, A. and Bayford, R. 2009. A comparison study of electrodes for neonate electrical impedance tomography. Physiological Measurement. 30 (6), pp. 73-84. https://doi.org/10.1088/0967-3334/30/6/S05Dynamic electrical impedance tomography image reconstruction of neonate lung function based on linear Kalman filter techniques
El Dib, H., Tizzard, A. and Bayford, R. 2009. Dynamic electrical impedance tomography image reconstruction of neonate lung function based on linear Kalman filter techniques. in: Dössel, O. and Schlegel, W. (ed.) IFMBE Proceedings, World Congress on Medical Physics and Biomedical Engineering September 7 - 12, 2009 Munich, Germany Munich, Germany Springer.Development of a sensor network for dynamic boundary measurement in neonatal electrical impedance tomography (EIT)
Khor, J., Tizzard, A., Demosthenous, A. and Bayford, R. 2009. Development of a sensor network for dynamic boundary measurement in neonatal electrical impedance tomography (EIT). in: Dössel, O. and Schlegel, W. (ed.) IFMBE Proceedings, World Congress on Medical Physics and Biomedical Engineering September 7 - 12, 2009 Munich, Germany Munich, Germany Springer.Depth sensitivity and image reconstruction analysis of dense imaging arrays for mapping brain function with diffuse optical tomography
Dehghani, H., White, B., Zeff, B., Tizzard, A. and Culver, J. 2009. Depth sensitivity and image reconstruction analysis of dense imaging arrays for mapping brain function with diffuse optical tomography. Applied Optics. 48 (10), pp. D137-D143.Development of a neonate lung reconstruction algorithm using a wavelet AMG and estimated boundary form
Bayford, R., Kantartzis, P., Tizzard, A., Yerworth, R., Liatsis, P. and Demosthenous, A. 2008. Development of a neonate lung reconstruction algorithm using a wavelet AMG and estimated boundary form. Physiological Measurement. 29 (6), pp. S125-S138. https://doi.org/10.1088/0967-3334/29/6/S11Improving the finite element forward model of the human head by warping using elastic deformation
Tizzard, A. and Bayford, R. 2007. Improving the finite element forward model of the human head by warping using elastic deformation. Physiological Measurement. 28 (7), pp. 163-182. https://doi.org/10.1088/0967-3334/28/7/S13Validation of finite element mesh warping for improving the forward model in EIT of brain function
Tizzard, A. and Bayford, R. 2007. Validation of finite element mesh warping for improving the forward model in EIT of brain function. in: Scharfetter, H. and Merwa, R. (ed.) IFMBE Proceedings, Part II - 13th International Conference on Electrical Bioimpedance and 8th Conference on Electrical Impedance Tomography 2007 Graz, Austria Springer Verlag.Reconstruction algorithms to monitor neonate lung function
Bayford, R., Kantartzis, P., Tizzard, A., Yerworth, R., Liatsis, P. and Demosthenous, A. 2007. Reconstruction algorithms to monitor neonate lung function. in: Scharfetter, H. and Mervwa, R. (ed.) IFMBE Proceedings, Part II - 13th International Conference on Electrical Bioimpedance and 8th Conference on Electrical Impedance Tomography 2007 Graz, Austria Springer Verlag.Investigating the mechanism of deep brain stimulation using a dynamic complex model of the head incorporated with the complete model of electrode
Bayford, R., Tizzard, A., Yousif, N. and Liu, X. 2006. Investigating the mechanism of deep brain stimulation using a dynamic complex model of the head incorporated with the complete model of electrode. Clinical Neurophysiology. 117, pp. S219-S220.Dynamic modelling of electrical current distribution in the deep structure of the brain
Bayford, R., Tizzard, A. and Liu, X. 2005. Dynamic modelling of electrical current distribution in the deep structure of the brain. in: The 3rd IEE International Seminar on Medical Applications of Signal Processing 2005 (Ref. No. 2005-1119) London,UK The Institution of Engineering and Technology (IET).Generating accurate finite element meshes for the forward model of the human head in EIT
Tizzard, A., Horesh, L., Yerworth, R., Holder, D. and Bayford, R. 2005. Generating accurate finite element meshes for the forward model of the human head in EIT. Physiological Measurement. 26 (2), pp. S251-S262.Generating surfaces for registration and warping FE meshes for the forward model in EIT of brain function.
Tizzard, A., Holder, D., Bayford, R. and International Federation for Medical and Biological Engineering 2005. Generating surfaces for registration and warping FE meshes for the forward model in EIT of brain function. Springer.Robustness of linear and nonlinear reconstruction algorithms for brain EITS.
Yerworth, R., Horesh, L., Bayford, R., Tizzard, A. and Holder, D. 2004. Robustness of linear and nonlinear reconstruction algorithms for brain EITS. Nowakowski, A., Wtorek, J., Bujnowski, A. and Janczulewicz, A. (ed.) Gdansk, Poland Gdansk University of Technology. pp. 499-502Beyond the linear domain: the way forward in MFEIT reconstruction of the human head.
Horesh, L., Bayford, R., Yerworth, R., Tizzard, A., Ahadzi, G. and Holder, D. 2004. Beyond the linear domain: the way forward in MFEIT reconstruction of the human head. Nowakowski, A., Wtorek, J., Bujnowski, A. and Janczulewicz, A. (ed.) Gdansk, Poland Gdansk University of Technology. pp. 683-686Electrical impedance tomography of human brain function using reconstruction algorithms based on the finite element method
Tizzard, A., Bagshaw, A., Bayford, R. and Liston, A. 2003. Electrical impedance tomography of human brain function using reconstruction algorithms based on the finite element method. NeuroImage. 20 (2), pp. 752-764. https://doi.org/10.1016/S1053-8119(03)00301-XEffects of modelling layers and realistic geometry in reconstruction algorithms for EIT of brain function.
Liston, A., Bagshaw, A., Bayford, R., Tizzard, A., Tidswell, A., Dehghani, H. and Holder, D. 2003. Effects of modelling layers and realistic geometry in reconstruction algorithms for EIT of brain function. 4th Conference on Biomedical Applications of Electrical Impedance Tomography. Manchester, UK 23 - 25 Apr 2003 UMIST, Manchester, UK pp. 19 https://doi.org/10.5281/zenodo.17924Development of algorithms to image impedance changes inside the human head.
Bayford, R., Bagshaw, A., Liston, A., Tizzard, A. and Holder, D. 2002. Development of algorithms to image impedance changes inside the human head. The First Mummy Range Workshop on Electric Impedance Imaging. Colorado, US Colorado State UniversitySolving the forward problem in electrical impedance tomography for the human head using IDEAS (integrated design engineering analysis software), a finite element modelling tool
Bayford, R., Gibson, A., Tizzard, A., Tidswell, T. and Holder, D. 2001. Solving the forward problem in electrical impedance tomography for the human head using IDEAS (integrated design engineering analysis software), a finite element modelling tool. Physiological Measurement. 22 (1), pp. 55-64.Modelling the effect of eye sockets in the human head using I-DEAS and its implication for imaging impedance change using Electrical Impedance Tomography.
Bayford, R., Gibson, A., Tizzard, A., Liston, A., Tidswell, A., Bagshaw, A. and Holder, D. 2001. Modelling the effect of eye sockets in the human head using I-DEAS and its implication for imaging impedance change using Electrical Impedance Tomography. Grimmes, S., Martinsen, O. and Bruvoll, H. (ed.) Oslo University of Oslo. pp. 391-396An introduction to computer-aided engineering
Tizzard, A. 1994. An introduction to computer-aided engineering. Maidenhead, UK McGraw Hill.2460
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