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Professor Mateo Aboy


Prof. Mateo Aboy

PhD, MBA, CLP MS, MPhil, LLB (Hons), BSEE (Hons), BS (Hons)

Senior Research Scholar, Centre for Law, Medicine and Life Sciences (LML)



Computational Data Science (Big Data); Biomedical Signal Processing; Medical Device Development; Biomarker Development & Qualification; Intellectual Property; Patent Law; Patent Valuation & Licensing; Medical Device Law; IP Informatics & Analytics; Patent Landscaping & Patent Search Algorithm Development; Patentability of Information Age Inventions; Technology-based Innovation; Empirical Legal Research; IP Strategy & Management.



Prof. Mateo Aboy’s multidisciplinary background includes a combination of intellectual property, science & engineering, and management experience. He holds degrees in engineering and data science (BS, MS, MPhil, PhD), law (LLB), international management (MBA), as well as professional registrations as a Chartered Engineer (COIT), Certified Licensing Professional (CLP), and Licensed Patent Agent with Bar Admission to practice in patent cases before the United States Patent Office (USPTO) and the Patent Trials and Appeals Board (PTAB).


His professional experience includes work in both the private sector in various senior engineering roles and in academia as a tenured Professor of Engineering. As a Licensed Patent Practitioner, he has successfully prosecuted numerous cases before the USPTO, focusing primarily on medical device and computer-implemented inventions. He holds over 20 patents as an inventor and is the co-founder of four companies.


Prof. Aboy has taught courses in engineering (computational data science; scientific & engineering computation; digital signal processing; electronics; programming; research methods & innovation), law (patent law for engineers & managers; business law), and management (strategy, innovation, and entrepreneurship; engineering management).



Prof. Aboy pursues research at the interface between engineering, law, and management sciences.  This includes research in the following areas:


  • Computational Data Science & IP
  • Medical Device Regulation (FDA 510k, De Novo, PMA, CE Medical)
  • Biomarker Qualification (FDA Biomarker Qualification Program/EMA)
  • IP Informatics & Computational Analytics
  • Automated Patent Search Algorithm Development
  • Patent Landscape Studies
  • Empirical Legal Research (Impact Empirical Analysis of IP Decisions)
  • Digital Signal Processing (DSP), Biomedical Signal Processing (BSP)
  • Machine Learning & IP
  • Patentability of Computer-Implemented & Biotech Inventions
  • Patent Valuation, Licensing & Technology Transfer
  • Intellectual Capital & IP Strategy & Management
  • Technology & Innovation Management: Competitive Strategy & Disruptive Innovation


Prof. Aboy is currently researching the status of information age inventions as patentable subject matter. A core component of this work is an in-depth quantitative analysis of trends in patent examination following key United States Supreme Court decisions affecting biomedical, biotech, computer and information process inventions, coupled with a comparative study of European patent law. This work sheds light on the implications of legal doctrine for prosecution strategies, licensing and innovation. Through this research, Dr. Aboy aims to:


  • provide a better understanding of the legal, economic and potential innovation impacts of these decisions;
  •  provide a comparative overview of the patent law jurisprudence and the potential of substantive patent law convergence between the US and European Patent Convention signatory jurisdictions; and


He is also collaborating with CIPIL/LML members (Dr Kathy Liddell and John Liddicoat) on empirical legal research involving projects concerning IP and genomics. 


Selected Publications 

Prof. Aboy's peer-reviewed article publications include:

  • Was the Myriad decision a'surgical strike'on isolated DNA patents, or does it have wider impacts? M Aboy, C Crespo, K Liddell, J Liddicoat, M Jordan, Nature Biotechnology 36 (12), 1146-1150 (2018)
  • After Myriad, what makes a gene patent claim 'markedly different' from nature? M Aboy, J Liddicoat, K Liddell, M Jordan, C Crespo,Nature biotechnology 35 (9), 820-825 (2017)
  • Myriad’s Impact on Gene Patents. Aboy M, Liddell K, Liddicoat J, Crespo C, Nature Biotechnology, 2016, Vol 34 Number 11 Pages: 1119-1123 (2016)
  • Inertial and Time-of-Arrival Ranging Sensor Fusion. P Vasilyev, S Pearson, M El-Gohary, M Aboy, Gait & Posture, 2017, 54, 1-7
  • Review of Recent Patents in the Area of Intelligent, Adaptive, Wireless & GPS Enabled Control Devices, Polk E, Polk L, Aboy M, Crespo C, Recent Patents in Engineering, 2016, 10(3), 175-186
  • Review of Recent Patents on Carbon Nanotube Based Electrodes for Use in Supercapacitor Applications. Diaz C, Ponder AR, McGee M, Crespo C, Aboy M, Recent Patents on Engineering, 2015, 9 (1) Pages: 21-28 
  • Review of Recent Patents on Detection and Quantification of Tremor. Aboy M, Crespo C, McNames J, Sprunger J, Recent Patents on Biomedical Engineering, 2013, 6 (2) Pages: 89-96
  • Review of Recent Patents on Wearable Movement Sensors. Aboy M, McNames J, Crespo C, Recent Patents on Biomedical Engineering, 2013, 6 (2) Pages: 82-88 
  • Clinical Application of a Novel Automatic Algorithm for Actigraphy-Based Activity and Rest Period Identification to Accurately Determine Awake and Asleep Ambulatory Blood Pressure Parameters and Cardiovascular Risk. Crespo C, Fernandez J, Aboy M, Mojon A, Chronobiology International: The Journal of Biological and Medical Rhythm Research, 2013, Vol 1-2 Page(s): 43-54 
  • Pulse Pressure Variation Tracking Using Sequential Monte Carlo Methods Biomedical Signal Processing and Control. Sunghan K, Aboy M, McNames J, Biomedical Signal Processing and Control, 2013, Vol 8 Page(s): 333-340 
  • Influence of QRS Complexity Detection Error on Entropy Measures. Molina-Pic A, Cuesta-Frau D, Mir-Martnez P, Oltra-Crespo S, Aboy M, Medical & Biological Engineering and Computing, 2013, Vol 110(1) Page(s): 2-11 
  • Automatic Identification of Activity-Rest Periods Based on Actigraphy. Crespo C, Aboy M, Fernandez JR, Mojon A. Medical & Biological Engineering and Computing, 2012, Apr; 50(4) Page(s): 329–340 
  • Automated Prediction of the Apnea-Hypopnea Index from Nocturnal Oximetry Recordings. Marcos JV, Hornero R, Alvarez D, Aboy M, Del Campo F, IEEE Transactions on Biomedical Engineering, 2012; Jan; 59(1)) Page(s): 141-149  
  • Pulse Pressure Variation: Where Are We Today? Cannesson M, Aboy M, Hofer C, Rehman M.
    Journal of Clinical Monitoring and Computing, 2011, Feb; 25(1) Page(s): 45-46
  • An enhanced automatic algorithm for estimation of respiratory variations in arterial pulse pressure during regions of abrupt hemodynamic changes. Aboy M, Crespo C, Austin D.
    IEEE Transactions on Biomedical Engineering, Volume: 56, 2009, Page(s): 2537-2545
  • Statistical modeling of cardiovascular signals and parameter estimation based on the extended Kalman filter. McNames, J.; Aboy, M. IEEE Transactions on Biomedical Engineering, Volume: 55, Issue: 1, 2008, Page(s): 119-129
  • Design and implementation of a portable physiologic data acquisition system Vinecore, K.; Aboy, M.; McNames, J.; Phillips, C.; Goldstein, B. Pediatric Critical Care Medicine, Volume: 8, Issue: 6, 2007, Page(s): 563-569
  • Pulse Morphology Visualization and Analysis with Applications in Cardiovascular Pressure Signals. Ellis, T.; McNames, J.; Aboy, M. IEEE Transactions on Biomedical Engineering, Volume: 54, Issue: 9, 2007, Page(s): 1552-1559
  • Reliability and Accuracy of Heart Rate Variability Metrics versus ECG Segment Duration. McNames; Aboy, M Medical & Biological Engineering and Computing, Volume: 44, Issue: 9, 2006, Page(s): 747-756
  • Interpretation of the Lempel-Ziv complexity measure in the context of biomedical signal analysis. Aboy M, Hornero R, Abasolo D, Alvarez D, IEEE Transactions on Biomedical Engineering, Volume: 53, Issue: 11, 2006, Page(s): 2282-228
  • The Population RDH Index. A Novel Index and Graphical Method for Statistical Assessment of Antihypertensive Treatment Reduction Duration, and Homogeneity. Aboy, M.; Fernandez, J.R.; Hermina, R.C. Blood Pressure Monitoring. Volume: 11, Issue: 3, 2006, Page(s): 143-155
  • The Individual RDH Index. A Novel Vector Index for Statistical Assessment of Antihypertensive Treatment Reduction, Duration, and Homogeneity. Aboy, M.; Fernandez, J.R.; Hermina, R.C. Blood Pressure Monitoring. Volume: 11, Issue: 2, 2006, Page(s): 69-78
  • An Automatic Beat Detection Algorithm for Pressure Signals. Aboy, M.; McNames. J; Thong, T.; Tsunami, D.; Ellenby, M. Goldstein, B. IEEE Transactions on Biomedical Engineering, Volume: 52, Issue: 10, 2005 Page(s): 1662-1670
  • Interpretation of Approximate Entropy. Case Studies in the Analysis of Intracranial Pressure During Acute Elevations in Traumatic Brain Injury. Honero, R.; Aboy, M.; Absalo, D.; McNames, J.; Goldstein, B. IEEE Transactions on Biomedical Engineering, Volume: 52, Issue: 10 , 2005, Page(s): 1671-1680
  • Adaptive Modeling and Spectral Estimation of Nonstationary Biomedical Signals Based on Kalman Filtering. Aboy, M.; Mrquez, O.W.; McNames, J.; Hornero, R.; Thong, T.; Goldstein, B. IEEE Transactions on Biomedical Engineering, Volume: 52, Issue: 8, 2005, Page(s): 1485-1489
  • Methodological Considerations in the Evaluation of the Duration of Action of Antihypertensive Therapy Using Ambulatory Blood Pressure Monitoring. Aboy, M.; Fernandez, J.R.; Hermina, R.C. Blood Pressure Monitoring. Volume: 10, Issue: 3, 2005, Page(s): 111-115
  • A Novel Algorithm to Estimate the Pulse Pressure Variation Index
    Aboy, M.; McNames. J; Thong, T.; Phillips, C.R..; Ellenby, M. Goldstein, B. IEEE Transactions on Biomedical Engineering, Volume: 51, Issue: 12, 2004 Page(s): 2198 - 2203
  • A Microcontroller-Based Portable Electrocardiograph Recorder. Segura-Juarez, J.J.; Cuesta-Frau, D.; Samblas-Pena, L.; Aboy, M.; IEEE Transactions on Biomedical Engineering, Volume: 51,Issue: 9, 2004 Pages: 1686 - 1690


For more of Prof. Aboy's publications, see here

Selected Patents

Prof. Aboy's granted patents as an inventor include:

  • US 8,920,345 System and apparatus for continuous monitoring of movement disorders
  • US 8,647,287 Wireless synchronized movement monitoring apparatus and system
  • US 8,926,521 Method for blood pressure measurement from noninvasive oscillometric pressure signals
  • US 7,927,283 Blood pressure algorithm
  • US 8,900,153 Ambulatory patient monitoring apparatus, system and method
  • US 8,315,698 Method and apparatus for automatic analysis of T-wave alternans
  • US 8,305,423 Communication system for remote patient visits and clinical status monitoring
  • US 8,057,398 Method, system, and apparatus for cardiovascular signal analysis, modeling, and monitoring
  • US 8,529,458 Method and apparatus for assessment of fluid responsiveness
  • US 8,298,151 Method and apparatus for evaluation of fluid responsiveness
  • US 8,647,287 Method and system for activity/rest identification
  • US 8,862,195 Method, system, and apparatus for automatic detection of obstructive sleep apnea from oxygen saturation recording


For more of Prof. Aboy's patent publications see here.


Presentation & Reports on Current Projects

  • "Are Algorithms Patentable?The Subject Matter Eligibility of Algorithms & Computer-Implemented Inventions" PHG Workshop-Regulating algorithms in healthcare: intellectual property and liability,September 2018

  • "Precision Medicine, AI and the Law Impact of Myriad, Mayo & Alice" 2018 CeBIL Annual Symposium, Precision Medicine, Artificial Intelligence and the Law, September 2018

  • “Myriad’s Impact on Gene Patents. Lessons Learned from Empirical Studies” CeBIL Conference-Innovation Gaps in the Life Sciences Frontiers, March, 2018.

  • Should We Change the EU Law to Disallow DNA Patents? Aboy M. 3rd Annual Philomathia Symposium (2016) 

  • “Analysis of the Impact of the US Supreme Court decision Mayo v Prometheus” Aboy M. Workshop on Realizing Genomic Medicine (2016),