Imperial College London

Dr Guangwei Chen

Faculty of EngineeringDepartment of Computing

Research Associate



+44 (0)20 7594 0991sorsby Website




William Penney LaboratorySouth Kensington Campus





Publication Type

10 results found

Chen G, Bowyer SA, Rodriguez-Villegas E, 2016, Low-Complexity Prediction of Frequency-Rich Biosignals for Lossless Compression in Wearable Technologies, 38th Annual International Conference of the IEEE-Engineering-in-Medicine-and-Biology-Society (EMBC), Publisher: IEEE, Pages: 3535-3538, ISSN: 1557-170X


Chen G, Imtiaz SA, Aguilar-Pelaez E, Rodriguez-Villegas Eet al., 2015, Algorithm for heart rate extraction in a novel wearable acoustic sensor, HEALTHCARE TECHNOLOGY LETTERS, Vol: 2, Pages: 28-33, ISSN: 2053-3713


Chen G, Rodriguez-Villegas E, Casson AJ, 2014, Wearable Algorithms: An Overview of a Truly Multi-Disciplinary Problem, Wearable Sensors: Fundamentals, Implementation and Applications, Pages: 353-382, ISBN: 9780124186668

© 2015 Elsevier Inc. All rights reserved. This chapter introduces and comprehensively overviews emerging wearable algorithms for embedding in to wearable sensor nodes. We begin with an overview of some of the potential benefits of low power real-time signal processing in wearable sensors with a particular focus on increasing the operational lifetime. Measured results from a practical state-of-the-art sensor platform demonstrate and quantify the design trade-offs present and the potential system optimizations available. We then consider the theory behind wearable algorithms and highlight the key properties of power-lifetime trade-off, big data performance testing, and performance-power trade-off that differentiate these new algorithms from conventional signal processing approaches. We conclude by reviewing the state-of-the-art in low power algorithms implemented in hardware and highlight the key design techniques that are now emerging to realize the lowest possible levels of power consumption.


Rodriguez-Villegas E, Chen G, Radcliffe J, Duncan Jet al., 2014, A pilot study of a wearable apnoea detection device, BMJ OPEN, Vol: 4, ISSN: 2044-6055


Aguilar-Pelaez E, Chen G, Rodriguez-Villegas E, 2012, Technique for Interference Reduction in Battery Powered Physiological Monitoring Devices, IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, Vol: 59, Pages: 3197-3203, ISSN: 0018-9294


Rodriguez-Villegas E, 2012, Feature characterization for breathing monitor


Chen G, Rodriguez-Villegas E, 2010, System-Level Design Trade-offs for Truly Wearable Wireless Medical Devices, 2010 ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC), Pages: 1441-1444, ISSN: 1557-170X


Chen G, Rodriguez-Villegas E, 2010, System-level design trade-offs for truly wearable wireless medical devices., Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Conference, Pages: 1441-1444, ISSN: 1557-170X

Power and current management in emerging wearable medical devices, intended to continuously monitor physiological signals, are crucial design issues. The overall size of the electronic part of these systems is generally going to be dominated by the size of the batteries. Unfortunately, the options of smaller batteries do not only come at the expense of a lower capacity and hence shorter operation time. It also significantly constrains the amount of available current that can be used by different electronic blocks, as well as their operating power supply voltage. This paper discusses all the typical power and current management system level issues in the design of a typical miniature wearable wireless medical device. The discussion is illustrated with experimental results obtained with two devices built using two of the currently most popular low power commercial transceivers in the market, the Texas Instruments (TI) CC2500 and the Nordic Semiconductor nRF24L01+. The numbers presented can be used as a more realistic guidance of the energy per bit required in a real system implementation, as opposed to the ideal figures normally quoted by the manufacturers. Furthermore the analysis in this paper can also be extrapolated to the design of future wireless monitoring wearable devices with further optimized radio transceivers.


Chen G, Rodriguez Villegas E, System-level design trade-offs for truly wearable wireless medical devices, The Engineering in Medicine and Biology Conference (EMBC)


Chen G, de la Cruz I, Rodriguez Villegas E, Automatic lung tidal volumes estimation from tracheal sounds, Engineering in Medicine and Biology Society (EMBC)


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