Athanasios Tsanas (‘Thanasis’)

 

 

Home

 

Vitae

 

Research

 

Publications

 

Talks

 

Software

 

Data

 

Consulting

 

Contact

 

Links

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

Journal papers

1.         A. Tsanas, J.Y. Goulermas, V. Vartela, D. Tsiapras, G. Theodorakis, A.C. Fisher and P. Sfirakis: "The Windkessel model revisited: a qualitative analysis of the circulatory system", Medical Engineering and Physics, Vol. 31, No. 5, pp. 581-588, 2009 [link] PDF

2.         A. Tsanas, M.A. Little, P.E. McSharry, L.O. Ramig: "Accurate telemonitoring of Parkinson's disease progression by non-invasive speech tests", IEEE Transactions on Biomedical Engineering, Vol. 57, pp. 884-893, 2010 [linkPDF

3.         A. Tsanas, M.A. Little, P.E. McSharry, L.O. Ramig: "Nonlinear speech analysis algorithms mapped to a standard metric achieve clinically useful quantification of average Parkinson’s disease symptom severity", Journal of the Royal Society Interface, Vol. 8, pp. 842-855, 2011 [linkPDF, see also the Electronic Supplementary Material [link] for more technical details. (Selected media coverage for this work appears here, and here.)

4.         A. Tsanas, M.A. Little, P.E. McSharry, J. Spielman, L.O. Ramig: "Novel speech signal processing algorithms for high-accuracy classification of Parkinson’s disease", IEEE Transactions on Biomedical Engineering, Vol. 59, pp. 1264-1271, 2012 [link] PDF

5.         A. Tsanas, M.A. Little, P.E. McSharry, B.K. Scanlon, S. Papapetropoulos: "Statistical analysis and mapping of the Unified Parkinson’s Disease Rating Scale to Hoehn and Yahr staging", Parkinsonism and Related Disorders, Vol. 18 (5), pp. 697-699, 2012 [link] PDF

6.         P.G. Foukas, A. Zourla, S. Tsiodras, A. Tsanas, K. Leventakos, E. Chranioti, A. Spathis, C. Meristoudis, C. Chrelias, D. Kassanos, G. Petrikkos, P. Karakitsos, I. G. Panayiotides: "B-lymphocyte, macrophage, and mast cell density in the stroma underlying HPV-related cervical squamous epithelial lesions and their relationship to disease severity: an immunohistochemical study", Journal of Clinical and Experimental Pathology 2:105, 2012 [link] PDF

7.         A. Tsanas, A. Xifara: "Accurate quantitative estimation of energy performance of residential buildings using statistical machine learning tools", Energy and Buildings, Vol. 49, pp. 560-567, 2012 [link] PDF, see also the Electronic Supplementary Material (The paper was highlighted as a “key scientific article” in Renewable Energy and global innovations)

8.         M. Kefala, S.G. Papageorgiou, C.K. Kontos, P. Economopoulou, A. Tsanas, V. Pappa, I.G. Panayiotides, V.G. Gorgoulis, E. Patsouris, P.G. Foukas: “Increased expression of phosphorylated NBS1, a key molecule of the DNA damage response machinery, is an adverse prognostic factor in patients with de novo myelodysplastic syndromes”, Leukemia Research, Vol. 37, pp. 1576-1582, 2013 [link], doi:10.1016/j.leukres.2013.08.018

9.         R. Kapal, A. Mehndiratta, P. Anandaraj, A. Tsanas: “Current impact, future prospects, and implications of mobile healthcare in India”, Central Asian Journal for Global Health, Vol.3 (1), 2014 [link] Open access

10.      A. Tsanas, M.A. Little, C. Fox, L.O. Ramig: “Objective automatic assessment of rehabilitative speech treatment in Parkinson’s disease”, IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol. 22(1), pp. 181-190, 2014 [link] PDF

11.      A. Tsanas, M. Zañartu, M.A. Little, C. Fox, L.O. Ramig, G.D. Clifford: “Robust fundamental frequency estimation in sustained vowels: detailed algorithmic comparisons and information fusion with adaptive Kalman filtering”, Journal of the Acoustical Society of America, Vol. 135, pp. 2885-2901, 2014 [link] PDF Open access

12.      A. Tsanas, G.D. Clifford: “Stage-independent, single lead EEG sleep spindle detection using the continuous wavelet transform and local weighted smoothing”, Frontiers in Human Neuroscience, Vol. 9:181, 2015 [link] PDF Open access

13.      B. Sheaves, K. Porcheret, A. Tsanas, C. Espie, R. Foster, D. Freeman, P.J. Harrison, K. Wulff, G.M. Goodwin: “Insomnia, nightmares, and chronotype as markers of risk for severe mental illness: results from a student population”, Sleep, Vol. 39(1), pp. 173-181, 2016 [link] PDF

14.      E. Naydenova, A. Tsanas, S. Howie, C. Casals-Pascual, M. De Vos: “The power of data mining in diagnosis of childhood pneumonia”, Journal of the Royal Society Interface 13:20160266, 2016 [link] PDF Open access (Selected media coverage for this work appears here, and here.)

15.      A. Tsanas, K.E.A. Saunders, A.C. Bilderbeck, N. Palmius, M. Osipov, G.D. Clifford, G.M. Goodwin, M. De Vos: “Daily longitudinal self-monitoring of mood variability in bipolar disorder and borderline personality disorder”, Journal of Affective Disorders, Vol. 205, pp. 225-233, 2016 [link] PDF, see also the Electronic Supplementary Material Open access

16.      N. Palmius, A. Tsanas, K.E.A. Saunders, A.C. Bilderbeck, J.R. Geddes, G.M. Goodwin, M. De Vos: “Detecting bipolar depression from geographic location data”, IEEE Transactions on Biomedical Engineering,  Vol. 64, No. 8, pp. 1761-1771, 2017 [link] PDF Open access

17.      E. San Segundo, A. Tsanas, P. Gomez-Vilda: “Euclidean distances as measures of speaker dissimilarity including identical twin pairs: a forensic investigation using source and filter voice characteristics,” Forensic Science International, Vol. 270, pp. 25-38, 2017 [link] PDF Open access

18.      A. Tsanas, K.E.A. Saunders, A.C. Bilderbeck, N. Palmius, G.M. Goodwin, M. De Vos: Clinical insight into latent variables of psychiatric questionnaires for mood symptom self-assessment, JMIR Mental Health Vol. 4, No. 2, pp. e15, 2017 [link] PDF Open access

 

Book chapters

 

1.         A. Tsanas, M.A. Little, P.E. McSharry: "A methodology for the analysis of medical data", Handbook of Systems and Complexity in Health, Eds. J.P. Sturmberg, and C.M. Martin, Springer, pp. 113-125 (chapter 7), 2013 [link] PDF

2.         P. Gómez-Vilda, A. Álvarez-Marquina, A. Tsanas, C.A. Lázaro-Carrascosa, V. Rodellar-Biarge, V. Nieto-Lluis, R. Martínez-Olalla: “Phonation biomechanics in quantifying Parkinson's disease symptom severity”, Recent Advances in Nonlinear Speech Processing, Vol. 48 of the series Smart Innovation, Systems and Technologies, Springer, pp. 93-102, 2016 [link]

 

Conference papers

 

1.         V. Vartela, A. Tsanas, D. Tsiapras, J.Y. Goulermas, V. Voudris: "Stress test: the application of mathematical models in daily clinical practice", 30th Panhellenic Cardiological Congress, Hellenic Cardiological Society, Athens, Greece, 29-31 October 2009 (in Greek)

2.         A. Tsanas, M.A. Little, P.E. McSharry, L.O. Ramig: "Enhanced classical dysphonia measures and sparse regression for telemonitoring of Parkinson's disease progression", IEEE Signal Processing Society, International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 594-597, Dallas, Texas, US, 14-19 March 2010 [link] PDF

3.         A. Tsanas, M.A. Little, P.E. McSharry, L.O. Ramig: "New nonlinear markers and insights into speech signal degradation for effective tracking of Parkinson’s disease symptom severity", International Symposium on Nonlinear Theory and its Applications (NOLTA), pp. 457-460, Krakow, Poland, 5-8 September 2010 (invited) PDF (won the student paper award)

4.         V. Vartela, A. Tsanas, D. Tsiapras, P. Sfirakis, V. Voudris: "A new mathematical approach investigating patient specific factors for the determination of clinically useful markers of cardiovascular status", 5th International Meeting of the Onassis Cardiac Surgery Center: current trends in cardiac surgery and cardiology, Athens, Greece, 16-18 September 2010 [link] PDF

5.         A. Tsanas, M.A. Little, P.E. McSharry, L.O. Ramig: "Robust parsimonious selection of dysphonia measures for telemonitoring of Parkinson's disease symptom severity", 7th International Workshop on Models and Analysis of Vocal Emissions for Biomedical Applications (MAVEBA), pp. 169-172, Florence, Italy, 25-27 August 2011 (invited) [link] PDF

6.         A. Johnson, N. Dunkley, L. Mayaud, A. Tsanas, A. Kramer, G. Clifford, "Patientspecific predictions in the ICU using a Bayesian ensemble", Computing in Cardiology, pp. 249-252, Krakow, Poland, 9-12 September 2012 [link] PDF (Winning entry of the CinC2012 competition)

7.         A. Tsanas, M.A. Little, C. Fox, L.O. Ramig: “Automatic grouping of acceptable or unacceptable vocalizations in people with Parkinson disease”, 17th International congress of Parkinson’s disease and movement disorders, Sydney, Australia, 16-20 June 2013 (the abstract appeared in a supplementary issue of Movement Disorders, Vol. 28, S125-S125, 2013) [link]

8.         A. Tsanas, P. Gómez-Vilda: “Novel robust decision support tool assisting early diagnosis of pathological voices using acoustic analysis of sustained vowels”, Multidisciplinary Conference of Users of Voice, Speech and Singing (JVHC 13), pp. 3-12, Las Palmas de Gran Canaria, 27-28 June 2013 [link] PDF

9.         A. Tsanas: “Acoustic analysis toolkit for biomedical speech signal processing: concepts and algorithms”, 8th International Workshop on Models and Analysis of Vocal Emissions for Biomedical Applications (MAVEBA), pp. 37-40, Florence, Italy, 16-18 December 2013 (invited) [link] PDF (won the young scientist award)

10.      N. Palmius, M. Osipov, A. Bilderbeck, G. Goodwin, K. Saunders, A. Tsanas, G.D. Clifford: “A multi-sensor monitoring system for objective mental health management in resource constrained environments”, IET Appropriate Healthcare Technologies for low resource settings, London, UK, September 17-18 September 2014 [link] PDF

11.      A. Tsanas, G.D. Clifford, V. Vartela, P. Sfirakis: “Quantitative insights into the closed loop cardiovascular system using an electrical lumped element model”, Computing in Cardiology, pp. 509-512, Boston, US, 7-10 September 2014 [link] PDF

12.      P. Gómez-Vilda, A. Álvarez-Marquina, A. Tsanas, C.A. Lázaro-Carrascosa, V. Rodellar-Biarge, V. Nieto-Lluis, R. Martínez-Olalla, “Phonation biomechanics in quantifying Parkinson's disease symptom severity”, International Conference on Nonlinear Speech Processing (NOLISP 2015), Vietri Sul Mare, Italy, 18-20 May 2015 [link] PDF

13.      A.C. Bilderbeck, K.E.A. Saunders, G.D. Clifford, A. Tsanas, M. Osipov, P.J. Harrison, C.J. Harmer, A.C. Nobre, J. Geddes, G.M. Goodwin: “Daily and weekly mood ratings: relative contributions to the differentiation of bipolar disorder and borderline personality disorder”, 17th annual conference of the International society for bipolar disorders (ISBD 2015), Toronto, Canada, 3-6 June 2015

14.      E. Naydenova, A. Tsanas, C. Casals-Pascual, M. de Vos, S. Howie: “Smart diagnostic algorithms for automated detection of childhood pneumonia in resource-constrained settings”, IEEE Global Humanitarian Technology Conference (GHTC), pp. 377-384, Seattle, Washington, USA, 8-11 October 2015 [link] PDF Open access Elina’s presentation on Youtube

15.      S. Arora, A. Tsanas: “Discrimination of Parkinson's disease participants from healthy controls using telephone-quality voice recordings”, 20th International Congress of Parkinson’s Disease and Movement Disorders, Berlin, Germany, 19-23 June 2016 [link]

16.      K.E.A. Saunders, A.C. Bilderbeck, A. Tsanas, P.J. Harrison, C.J. Harmer, A.C. Nobre, J. Geddes, G.M. Goodwin: Stable instability: characterising the nature and degree of mood instability in bipolar disorder and borderline personality disorder, 18th Annual Conference of the International Society for Bipolar Disorders & 8th Biennial Conference of the International Society for Affective Disorders, Amsterdam, Netherlands, 13-16 July 2016

17.      N. Cooray, M. De Vos, A. Tsanas, “REM sleep behaviour disorder diagnostic tools – automatic REM detection”, MEIbioeng, Oxford, UK, 5-6 September 2016

18.      A. Tsanas, E. San Segundo, P. Gomez-Vilda: Exploring pause fillers in conversational speech for forensic phonetics: findings in a Spanish cohort including twins, 8th International Conference on Pattern Recognition Systems (ICPRS-17), Madrid, Spain, 11-13 July 2017 [link] PDF (in press)

 

Theses

 

1.         B.Sc. thesis (Athens, Greece, 2005)

Mechanical circulatory support systems: current state and a view to the future (in Greek)

2.         B.Eng. thesis (Liverpool, UK, 2007)

Modelling the circulatory system: evaluating the cardiac output and the arterial pressure

3.         M.Sc. thesis (Newcastle, UK, 2008)

Advanced equalisation schemes: trends of the future

4.         D.Phil. thesis (Oxford, UK, 2012)

Accurate telemonitoring of Parkinson’s disease symptom severity using nonlinear speech signal processing and statistical machine learning

 

DISCLAIMER

This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.

The following copyright applies to any articles on this page published by IEEE: "©20xx IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE."

 

© Athanasios Tsanas

Last updated: 23 July 2017