Imperial College London

ProfessorEstherRodriguez Villegas

Faculty of EngineeringDepartment of Electrical and Electronic Engineering

Professor in Low Power Electronics
 
 
 
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Contact

 

+44 (0)20 7594 6193e.rodriguez

 
 
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Location

 

914Electrical EngineeringSouth Kensington Campus

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Summary

 

Publications

Publication Type
Year
to

144 results found

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

CONFERENCE PAPER

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

CONFERENCE PAPER

Iranmanesh S, Rodriguez-Villegas E, 2017, An Ultralow-Power Sleep Spindle Detection System on Chip, IEEE TRANSACTIONS ON BIOMEDICAL CIRCUITS AND SYSTEMS, Vol: 11, Pages: 858-866, ISSN: 1932-4545

JOURNAL ARTICLE

Iranmanesh S, Rodriguez-Villegas E, 2017, A 950 nW Analog-Based Data Reduction Chip for Wearable EEG Systems in Epilepsy, IEEE JOURNAL OF SOLID-STATE CIRCUITS, Vol: 52, Pages: 2362-2373, ISSN: 0018-9200

JOURNAL ARTICLE

Jiang Z, Huxter JR, Bowyer SA, Blockeel AJ, Butler J, Imtiaz SA, Wafford KA, Phillips KG, Tricklebank MD, Marston HM, Rodriguez-Villegas Eet al., 2017, TaiNi: Maximizing research output whilst improving animals' welfare in neurophysiology experiments, SCIENTIFIC REPORTS, Vol: 7, ISSN: 2045-2322

JOURNAL ARTICLE

Imtiaz SA, Mardell J, Saremi-Yarahmadi S, Rodriguez-Villegas Eet al., 2016, ECG artefact identification and removal in mHealth systems for continuous patient monitoring, HEALTHCARE TECHNOLOGY LETTERS, Vol: 3, Pages: 171-176, ISSN: 2053-3713

JOURNAL ARTICLE

Logesparan L, Casson AJ, Rodriguez-Villegas E, 2016, Optimal features for online seizure detection (vol 50, pg 659, 2012), MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING, Vol: 54, Pages: 1295-1295, ISSN: 0140-0118

JOURNAL ARTICLE

Patrick KCA, Imtiaz SA, Bowyer S, Rodriguez-Villegas Eet al., 2016, An Algorithm for Automatic Detection of Drowsiness for Use in Wearable EEG Systems, 38th Annual International Conference of the IEEE-Engineering-in-Medicine-and-Biology-Society (EMBC), Publisher: IEEE, Pages: 3523-3526, ISSN: 1557-170X

CONFERENCE PAPER

Pramono RXA, Imtiaz SA, Rodriguez-Villegas E, 2016, A Cough-Based Algorithm for Automatic Diagnosis of Pertussis, PLOS ONE, Vol: 11, ISSN: 1932-6203

JOURNAL ARTICLE

Abbasi MU, Raikos G, Saraswat R, Rodriguez-Villegas Eet al., 2015, A high PSRR, ultra-low power 1.2V curvature corrected Bandgap Reference for Wearable EEG application, 13th IEEE International NEW Circuits and Systems Conference, Publisher: IEEE, ISSN: 2472-467X

CONFERENCE PAPER

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

Phonocardiography is a widely used method of listening to the heart sounds and indicating the presence of cardiac abnormalities. Each heart cycle consists of two major sounds - S1 and S2 - that can be used to determine the heart rate. The conventional method of acoustic signal acquisition involves placing the sound sensor at the chest where this sound is most audible. Presented is a novel algorithm for the detection of S1 and S2 heart sounds and the use of them to extract the heart rate from signals acquired by a small sensor placed at the neck. This algorithm achieves an accuracy of 90.73 and 90.69%, with respect to heart rate value provided by two commercial devices, evaluated on more than 38 h of data acquired from ten different subjects during sleep in a pilot clinical study. This is the largest dataset for acoustic heart sound classification and heart rate extraction in the literature to date. The algorithm in this study used signals from a sensor designed to monitor breathing. This shows that the same sensor and signal can be used to monitor both breathing and heart rate, making it highly useful for long-term wearable vital signs monitoring.

JOURNAL ARTICLE

Imtiaz SA, Logesparan L, Rodriguez-Villegas E, 2015, Performance-Power Consumption Tradeoff in Wearable Epilepsy Monitoring Systems, IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, Vol: 19, Pages: 1019-1028, ISSN: 2168-2194

JOURNAL ARTICLE

Imtiaz SA, Rodriguez-Villegas E, 2015, An Open-source Toolbox For Standardized Use Of PhysioNet Sleep EDF Expanded Database, 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Publisher: IEEE, Pages: 6014-6017, ISSN: 1557-170X

CONFERENCE PAPER

Imtiaz SA, Rodriguez-Villegas E, 2015, Automatic Sleep Staging Using State Machine-controlled Decision Trees, 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Publisher: IEEE, Pages: 378-381, ISSN: 1557-170X

CONFERENCE PAPER

Logesparan L, Rodriguez-Villegas E, Casson AJ, 2015, The impact of signal normalization on seizure detection using line length features, MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING, Vol: 53, Pages: 929-942, ISSN: 0140-0118

JOURNAL ARTICLE

Saraswat R, Abbasi MU, Rodriguez-Villegas E, 2015, Ultra-Low Power, Low Noise MAC Protocol Compliant Non-PLL based Wearable Transmitter for Dynamic Open Spectrum Sharing, 7th Annual International IEEE EMBS Conference on Neural Engineering (NER), Publisher: IEEE, Pages: 553-556, ISSN: 1948-3546

CONFERENCE PAPER

Casson AJ, Rodriguez-Villegas E, 2014, Nanowatt multi-scale continuous wavelet transform chip, ELECTRONICS LETTERS, Vol: 50, Pages: 153-154, ISSN: 0013-5194

JOURNAL ARTICLE

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.

BOOK CHAPTER

Hizon JRE, Rodriguez-Villegas E, 2014, A Reconfigurable FGMOS based OTA-C Filter, IEEE International Symposium on Circuits and Systems (ISCAS), Publisher: IEEE, Pages: 2093-2096, ISSN: 0271-4302

CONFERENCE PAPER

Imtiaz SA, Casson AJ, Rodriguez-Villegas E, 2014, Compression in Wearable Sensor Nodes: Impacts of Node Topology, IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, Vol: 61, Pages: 1080-1090, ISSN: 0018-9294

JOURNAL ARTICLE

Imtiaz SA, Rodriguez-Villegas E, 2014, A low computational cost algorithm for REM sleep detection using single channel EEG., Ann Biomed Eng, Vol: 42, Pages: 2344-2359

The push towards low-power and wearable sleep systems requires using minimum number of recording channels to enhance battery life, keep processing load small and be more comfortable for the user. Since most sleep stages can be identified using EEG traces, enormous power savings could be achieved by using a single channel of EEG. However, detection of REM sleep from one channel EEG is challenging due to its electroencephalographic similarities with N1 and Wake stages. In this paper we investigate a novel feature in sleep EEG that demonstrates high discriminatory ability for detecting REM phases. We then use this feature, that is based on spectral edge frequency (SEF) in the 8-16 Hz frequency band, together with the absolute power and the relative power of the signal, to develop a simple REM detection algorithm. We evaluate the performance of this proposed algorithm with overnight single channel EEG recordings of 5 training and 15 independent test subjects. Our algorithm achieved sensitivity of 83%, specificity of 89% and selectivity of 61% on a test database consisting of 2221 REM epochs. It also achieved sensitivity and selectivity of 81 and 75% on PhysioNet Sleep-EDF database consisting of 8 subjects. These results demonstrate that SEF can be a useful feature for automatic detection of REM stages of sleep from a single channel EEG.

JOURNAL ARTICLE

Imtiaz SA, Rodriguez-Villegas E, 2014, Recommendations for Performance Assessment of Automatic Sleep Staging Algorithms, 36th Annual International Conference of the IEEE-Engineering-in-Medicine-and-Biology-Society (EMBC), Publisher: IEEE, Pages: 5044-5047, ISSN: 1557-170X

CONFERENCE PAPER

Imtiaz SA, Rodriguez-Villegas E, 2014, Evaluating the use of line length for automatic sleep spindle detection, 36th Annual International Conference of the IEEE-Engineering-in-Medicine-and-Biology-Society (EMBC), Publisher: IEEE, Pages: 5024-5027, ISSN: 1557-170X

CONFERENCE PAPER

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

JOURNAL ARTICLE

Rodriguez-Villegas E, Logesparan L, Casson AJ, 2014, A Low Power Linear Phase Programmable Long Delay Circuit, IEEE TRANSACTIONS ON BIOMEDICAL CIRCUITS AND SYSTEMS, Vol: 8, Pages: 432-441, ISSN: 1932-4545

JOURNAL ARTICLE

Saraswat R, Rodriguez-Villegas E, 2014, Low Power EMI Mitigation Strategies Utilizing Non-PLL Based Periodic and Chaotic SSC Profiles for Implanted Devices, 2014 8TH INTERNATIONAL SYMPOSIUM ON MEDICAL INFORMATION AND COMMUNICATION TECHNOLOGY (ISMICT), ISSN: 2326-828X

JOURNAL ARTICLE

Saraswat R, Rodriguez-Villegas E, 2014, Chaotic Inductively Coupled Non-PLL Low Emission Transmitter for Implanted Devices, IEEE 5th Latin American Symposium on Circuits and Systems (LASCAS), Publisher: IEEE, ISSN: 2330-9954

CONFERENCE PAPER

Imtiaz SA, Saremi-Yarahmadi S, Rodriguez-Villegas E, 2013, Automatic detection of sleep spindles using Teager energy and spectral edge frequency, IEEE Biomedical Circuits and Systems Conference (BioCAS), Publisher: IEEE, Pages: 262-265, ISSN: 2163-4025

CONFERENCE PAPER

Kafali O, Bromuri S, Sindlar M, van der Weide T, Pelaez EA, Schaechtle U, Alves B, Zufferey D, Rodriguez-Villegas E, Schumacher MI, Stathis Ket al., 2013, COMMODITY12: A smart e-health environment for diabetes management, JOURNAL OF AMBIENT INTELLIGENCE AND SMART ENVIRONMENTS, Vol: 5, Pages: 479-502, ISSN: 1876-1364

JOURNAL ARTICLE

Logesparan L, Casson AJ, Imtiaz SA, Rodriguez-Villegas Eet al., 2013, Discriminating between best performing features for seizure detection and data selection, 35th Annual International Conference of the IEEE-Engineering-in-Medicine-and-Biology-Society (EMBC), Publisher: IEEE, Pages: 1692-1695, ISSN: 1557-170X

CONFERENCE PAPER

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