JOURNALS/CONFERENCES

Hernandez-Silveira, M., “Future of Medicine, the Role of Doctors in 2029”, 5th annual conference on the Future of Medicine 2019, IET.

Ang, S., Hernandez-Silveira, M., and Iosif Mendichovszky, “Crystallizing Chest X-Rays for SARS-CoV-2 Detection”, Appropriate Healthcare Technologies 2020, IET.

Ang, S. and Hernandez-Silveira, M., 2016. for Biomedical Algorithm Designs. Wireless Medical Systems and Algorithms: Design and Applications, 56, p.123.

Hernandez-Silveira, M., Wieczorkowski-Rettinger, K., Ang, S. and Burdett, A., 2015, August. Preliminary assessment of the SensiumVitals®: a low-cost wireless solution for patient surveillance in the general wards. In 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) (pp. 4931-4937). IEEE.

Hernandez-Silveira, M.A., Ang, S.S. and Burdett, A., 2014. Challenges and trade-offs involved in designing embedded algorithms for a low-power wearable wireless monitor. In The 15th International Conference on Biomedical Engineering (pp. 416-419). Springer, Cham.

Hernandez-Silveira, M., Ang, S.S. and Burdett, A., 2017. Advances in Ultra-Low-Power Miniaturized Applications for Health Care and Sports: The Sensium™ Platform. In Novel Advances in Microsystems Technologies and their Applications (pp. 463-495). CRC Press.

Hernandez-Silveira, M., Ang, S.S., Mehta, T. and Burdett, B.W.A., 2012. Implementation and Evaluation of a Physical Activity and Energy Expenditure Algorithm in a Sensium™-Based Body-worn Device.

Ang, S., Constantinides, G.A., Luk, W. and Cheung, P.Y., 2008. Custom parallel caching schemes for hardware-accelerated image compression. Journal of Real-Time Image Processing, 3(4), p.289.

Hernandez-Silveira M, Ang S, Mehta T, Burdett A, Toumazou C (2011). Non-invasive wireless monitoring of patients within a clinical environment: system challenges and solutions. In Bioengineering11. 12th-13th of September 2011, Queen Mary University, London, UK.

S.S. Ang, K. Wieczorkowski-Rettinger, M. Hernandez-Silveira (2015). Book Chapter: Real-time activity energy expenditure estimation for embedded ambulatory systems. In: Carrara, S and Iniewski, K ed. Handbook of Bioelectronics, Cambridge University Press.

Hernandez-Silveira M, Nunn C, Lakhanpal A, McDonnagh D, McPartland R, Burdett A (2009). Key considerations and experience using the ultra-low power Sensium platform in body sensor networks. In 6thInternational Workshop on Wearable and Implantable Body Sensor Networks. Berkeley CA, USA. June 3rd-5th.

MA Hernandez Silveira, D.J. Ewins.(2005) 2D Finite Element Modelling of Current Density Distribution During The Application of Electrical Stimulation Using Surface Arrays. Proceedings of the 3rd European Medical & Biological Engineering Conference IFMBE European Conference of Biomedical Engineering. Prague, Czech Republic.

Hernandez Silveira MA, Ewins DJ, Gould D (2007). A high-resolution surface electrode array system for drop foot correction.In proceedings of the 12th Annual International FES Society Conference, Philadelphia, USA. November 10th – 14th 2007.

Ramírez C, Hernández M, (2001) Multi-thread implementation of a fuzzy neural network for arrhythmia detection. IEEE World Congress on Computers in Cardiology, Rotterdam, The Netherlands.

I. Spulber, P. Georgiou, A. Eftekhar, C. Toumazou, L. Duffel, J. Bergmann, A. McGregor, T. Mehta, M. Hernandez, A. Burdett (2012). Frequency Analysis of Wireless Accelerometer and EMG Sensors Data: Towards Discrimination of Normal and Asymmetric Walking Pattern. In Proceedings of IEEE (ISCAS), Seoul, South Korea.

Salvo, P. and M. Hernandez-Silveira (2017). Book: “Wireless Medical Systems and Algorithms: Design and Applications”. Devices, Circuits, and Systems, ed. CRC Press. ISBN 13:9781498700764, CRC Press.

C.A. Ramirez, M.A Hernández (2003). Automatic detection of cardiac arrhythmias using a multithreaded neural network. In Informacion Tecnologica (Chile). Vol. 4, No. 2, INSPEC Indexed Jounal.

Ang, S. and M. Hernandez-Silveira (2018). Book chapter: Biomedical algorithms for wearable monitoring. In IoT and low-power wireless circuits, architectures and techniques. Ed. CRC Press. ISBN 9780815369714, CRC Press.