Charles Sturt University
Charles Sturt University

Associate Professor Herbert Jelinek F.

Associate Professor Herbert Jelinek F.

BSc(Human Genetics)(Hons), GradDip(Neurosci), PhD(Neuroscience), GradCertTeach&Learn

Herbert Jelinek graduated in Human Genetics (Honours) from UNSW, Sydney and received a GradDip(Neurosci) from ANU (Canberra) followed by a PhD (University of Sydney ). His research is in diabetes and diabetic complications focusing on strategies for automated identification of cognitive, cardiac, peripheral vascular and retinal complications using biosignal and image processing. He has established a one stop screening unit for diabetes and cardiovascular disease at Charles Sturt University, Albury.

Currently Dr Jelinek has an adjunct position as clinical associate professor at the Australian School of Advanced Medicine, Macquarie University and The Rural Clinical School, University of New South Wales in Sydney, Australia as well as being an honorary senior research fellow with the Centre for Informatics and Optimization at Federation University, Ballarat, Australia.

Positions and Roles
  • Biomedical Science
  • School Research Higher Degree Coordinator
  • Chair School Research Committee
  • Member School Ethics Committee
  • Member Biosafety Committee

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Teaching

Dr Jelinek has been teaching for over 15 years in Anatomy, Physiology, Pharmacology, Neuroscience, Chronic Disease and Molecular Biology. He is a member of the Physiotherapy and Speech Pathology Course Development Committees and continues to develop Anatomy, Physiology, Biology, Pharmacology and Neuroscience subjects for the Allied Health Courses offered by School of Community Health. Dr Jelinek works with both internal as well as distance education.

Subject Delivery
  • BMS255 Neuroscience for Health Professionals
  • BMS350 Health and Chronic Disease
Innovations in Teaching
  • Student participation in diabetes screening research to develop communication skills and expertise in data collection and interpretation
  • Patient-based laboratory sessions in Neuroscience
  • Development of online review questions and self-assessment for neuroscience subject content

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Research and Publications

Dr Jelinek has been involved in diabetes and its complications research since 2002, which has as its main investigating change in cognitive function, cardiac, renal and nervous system genetics, physiology and biochemistry. He is an expert in nonlinear analysis of 2D images and biosignal processing. He has been involved in diabetes complications screening for over 10 years. He has contributed to the development of automated diabetic retinopathy screening tools, ECG analysis applications as well as web-based image analysis tools (Fractop V3). He is involved in developing engineering solutions in cardiac and stroke rehabilitation, as well as in rural and remote diabetes complications screening using engineering technology.

RESEARCH INVOLVEMENT

Automated Detection of Diabetic Retinopathy

University of Campinas, Brazil

  • Development of image analysis methodology for diabetic retinopathy with Prof Jacques Wainer and Dr Anderson Rocha at the Computer Science Department. This research addresses identification of retinopathy classes using data mining techniques and continues from work with Prof Roberto Cesar Jr at the Department of Computer Science, University of Sao Paulo, Brazil.

Genetic and physiological biomarkers for identification of multiorgan diabetic neuropathy and development of a novel drug carrier system based on microbubble delvery

Khalifa University UAE

  • Autonomic nervous system neuropathy affects cardiac, kidney and peripheral function. I established and lead this project at the Department of Biomedical Engineering, Khalifa University. The project involves determining common genes involved in autonomic neuropathy and their effect on physiological biomarkers as well as continuing investigations into genes linked with type 2 diabetes and metabolism. The aim is to combine this knowledge with data we have on inflammation and oxidative stress in the development and progression of diabetes and its complications and to further develop better drug delivery systems. The drug delivery system is based on microbubble transportation that can be specifically targeted at sites such as heart, kidney or peripheral blood vessels and therefore reduce the risk of developing diabetic neuropathy and improve current treatment options.

Cardiac Autonomic Neuropathy

University of Eastern Finland, Kuopio

  • Cardiac autonomic neuropathy is a diabetic complication, which has not received much attention despite it contributing substantially to sudden cardiac death in people with diabetes and also in other diseases such as Parkinson’s disease and depression. Together with Dr Mika Tarvainen from the Biophysics Department and Dr David Cornforth (University of Newcastle, Australia) I have been developing novel automated biosignal analysis tools to grade cardiac autonomic neuropathy and identify this pathology in preclinical stages of diabetes.
  • I am currently putting a book together with co-editors Dr Ahsan Khandoker and Dr David Cornforth about biosignal analysis of cardiac autonomic neuropathy and application of heart rate variability analysis in medical applications.

Image Analysis

Medical University, Graz Austria and University of Belgrade, Serbia

  • Comparison of fractal analysis methods applied to the classification of neurons and microglia in health and disease. This research involves Dr Helmut Ahammer, Medical University of Graz, Austria, in applying innovative image analysis techniques to classification problems in medicine and biology.

University of Belgrade, Serbia

  • Fractal analysis methods are applied to classification of neurons in the central nervous system as well as retinal images of retinopathy of prematurity collaborating with Dr Nebojsa Miloševićat the Biophysics Department.

Multinational

  • Cognitive decline is a relatively little researched area of diabetes complications. Together with Prof Franz Stachowiak (Germany), Dr Mika Tarvainen (University of Eastern Finland), Dr Faezeh Marzbanrad (Monash University, Australia) and Dr David Cornforth (Australia) I am investigating changes in the relationship between ECG, EEG (left and right prefrontal cortex) and respiration associated with tests results from a number of cognitive function tests (Vienna Test Battery). This project addresses a new concept of network physiology in terms of coupling between biosignals and how these couplings are affected in neuropathology.

Australian Collaborative Projects

All-in-One Diabetes Screening Diabetes Complications Screening Initiative (DiScRi) at Charles Sturt University, Albury, Australia. I established and coordinate DiScRi some 12 years ago for the New South Wales border area. I am investigating a new model of diabetes prevention and screening that incorporates the university’s expertise and experience in providing a part of diabetes health care to the local community using automated assessment procedures for diabetic retinopathy, heart disease and peripheral vascular disease. A multidisciplinary national and international team of researchers is associated with this research, which also provides the opportunity of allied health, primary health and students from clinical specialities to participate in a holistic, all-in-one screening program. Links have been established with Nationally, the Medical Schools of the University of Sydney (Assoc Prof Brett Hambly), and University of New South Wales (Assoc Prof Craig McLachlan) are involved principally with the cardiovascular and genetic analysis. These universities are contributing senior academic researchers, postdoctoral fellows and PhD students.

The School of Communication, Design and Information Technology from the University of Newcastle (Dr David Cornforth, Dr Marc Adam), the Laboratory for Parallel and Distributed Computing Lab at Deakin University (Prof Jemal Abawaji, Prof John Yearwood, Dr Shamsul Huda and Dr Morshed Chowdhury) and the Centre for Informatics and Optimisation, Federation University (Assoc Prof Andrew Stranieri) play a crucial role in developing datamining algorithms for classification of diabetes complications, specifically cardiac autonomic neuropathy.

The Department of Biomedical Engineering at Khalifa University (Dr Ahsan Khandoker, Assoc Prof Kinda Khalaf), are developing algorithms for analysis of the ECGs, EEGs and biomechanics.

PUBLICATIONS H.F. JELINEK

Google Scholar: Citations – 5806, h-index – 34; Research Gate: RG score – 40.36

Books, monographs

2017

  1. Jelinek, H.F., Khandoker, A.H. and Cornforth, D.J. (eds.) (2017) Heart rate variability analysis from theory to practice in biology and medicine. CRC Press, New York.

2010

  1. Jelinek, H.F. and Cree, M.J. (eds) (2010) Automated image detection of retinal pathology, CRC Press, New York.

Chapters in books

2017

  1. Jelinek, H.F. and Cornforth, D.J. (2017) Heart rate complecity associated with cardiac neuropathy. Ch12:327-344. In Complexity and Nonlinearity in Cardiovascular Signals. Ed. Barbieri, R., Scilingo, E.P. and Valenza, G. Springer Verlag, Berlin. ISBN: 978-3-319-58708-0
  1. Jelinek, H.F., Cornforth, D.J. and Khandoker, A.H. (2017) Introduction to ECG time series variability analysis: a simple overview. Ch.1: in: Jelinek, H.F., Khandoker, A.H. and Cornforth, D.J. (eds.) (2017) Heart rate variability analysis from theory to practice in biology and medicine. CRC Press, New York. Pages 1-12. CRC Press, New York.
  1. Cornforth, D.J. and Jelinek, H.F. (2017) Complexity Measures of Heart Rate Variability – A Window on the Autonomic Nervous System. Ch.8:187-298. CRC Press, New York.
  2. Jelinek, H.F., Cornforth, D.J., Koenig, A., Riener, R., Karmakar, C., Imam, H.I., Khandoker, A.H., Palaniswami, M. Minichielo, M. (2017) Monitoring patients during neurorehabilitation following central or peripheral nervous system injury: dynamic difficulty adaptation? Ch.12:281-296. CRC Press, New York.
  3. Kiat, H., Collins, T. and Jelinek, H.F. (2017) Heart rate variability as a useful parameter in assessment of cardiac rehabilitation outcome. Ch.13:297-310 CRC Press, New York.
  4. Voigt, A., Trompf, J.W., Tamayo, M., Ng, E., Zhou, Y., Lu, Y., Matthews, S., Hambly, B.D. and Jelinek, H.F. (2017) Associations between genetic polymorphisms and heart rate variability. Ch.22: CRC Press, New York.

2016

  1. Karperien, A., Jelinek, H.F. and Ahammer, H. (2016) Multifractal formalism in image and time series analysis. Arithmetic Methods in Mathematical Physics and Biology, Bedlewo. Ed. Grzegorz Banaszak, Jan Milewski and Przemysław Waliszewski. Banach Center Publications. 109:23-45. DOI:10.4064/bc109-0-3. ISBN 978-83-86806-33-1.
  2. Karperien, A., and Jelinek, H.F. (2016) Box-counting fractal analysis: A primer for the clinician. The fractal geometry of the brain, ed. De Ieva, A. Springer Verlag, Frankfurt, pp.13-43. (ISBN 978-1-4939-3993-0).
  3. Karperien, A., and Jelinek, H.F. (2016) Morphology and fractal-based classifications of neurons and microglia. The fractal geometry of the brain, ed. De Ieva, A. Springer Verlag, Frankfurt, pp.91-108. (ISBN 978-1-4939-3993-0)

2015

  1. Cornforth, D.J., Koenig, A., Riener, R., August, K., Khandoker, A.H., Karmakar, C., Palaniswami, M. and Jelinek, H.F. (2015) The role of serious games in robot exoskeleton assisted rehabilitation of stroke patients. Serious Games Analytics: Methodologies for Performance Measurement, Assessment, and Improvement. Eds. Loh, C.S., Sheng, Y. and Ifenthaler, D. Springer Verlag, Heidelberg. p.233-254 (ISBN 978-3-319-05833-7)
  2. Milošević, N.T., Rajković, N. and Jelinek, H.F. (2015) Fractal and Multifractal Analysis of Two Dimensional Images of the Retinopathy of Prematurity: Morphologic Parameters and Classification.In: Retinopathy of Prematurity (ROP): Classification, Risk Factors and Treatment. Ed. Elmira Aguilar. Nova Publishers.  (ISBN:978-1-63482-644-0).

    Journal articles (refereed)

    2018

  3. Tekeste, T., Saleh, H., Mohammad, B., Khandoker, A., Jelinek, H.F. and M. Ismail, M. (2018) A Nanowatt Real-Time Cardiac Autonomic Neuropathy Detector, IEEE Trans Biomed Circuits Syst, pp. 1-12, 2018. (DOI: 10.1109/TBCAS.2018.2833624) (IF=2.937)
  4. Abawajy, J., Kelarev, A., Yi, X. and Jelinek, H.F. (2018) Minimal ensemble based on subset selection using ECG to diagnose categories of CAN, Comput Methods Programs Biomed, vol. 160, pp. 85-94, Jul 2018. (IF=2.84; A+)
  5. Pouvreau, C., Dayre, A., Butkowski, E.G., de Jong, B. and Jelinek, H.F. (2018) Inflammation and oxidative stress markers in diabetes and hypertension. J. Inflamm. Res. Vol.11:61-68. doi: 10.2147/JIR.S148911.

2017

  1. Hassan, M. M., Huda, S., Yearwood, J., Jelinek, H. F. & Almogren, A. Multistage fusion approaches based on a generative model and multivariate exponentially weighted moving average for diagnosis of cardiovascular autonomic nerve dysfunction. Information Fusion, doi:http://dx.doi.org/10.1016/j.inffus.2017.08.004 (2017). (IF=5.667)
  2. Chowdhury, M., Abawaji, J., Kelarev, A. and Jelinek, H.F. (2017) A clustering-based multilayer distributed ensemble for neurological diagostics in cloud services. IEEE Transactions on Cloud Computing. Vol.4(2). DOI: 10.1109/TCC.2016.2567389. (IF=3.77)
  3. Al-Angari, H. M., A. H. Khandoker, S. Lee, W. Almahmeed, H. S. Al Safar, H. F. Jelinek and K. Khalaf (2017). Novel dynamic peak and distribution plantar pressure measures on diabetic patients during walking. Gait Posture, Vol.51: 261-267. (IF=2.347)
  4. Zhou, Y., Jelinek, H.F., Hambly, B. and McLachlan, C.S. (2017) Electrocardiogram QRS duration and associations with telomere length: a cross-sectional study in Australian rural diabetic and non-diabetic population. J Electrocardiol.
  5. Perkins, S.E., Jelinek, H.F., Al-Aubaidy, H.A. and de Jong, B. (2017) Immediate and long term effects of endurance and high intensity interval exercise on linear and nonlinear heart rate variability. J Sci Med Sport (IF=3.587)
  6. Khalaf, K., Al-Amgari H.M., Khandoker, A.H., Lee, S., Wael, A., Al-Safar, H. and Jelinek, H.F. (2017) Gait alterations in the UAE population with and without diabetic complications using both traditional and entropy measures. Gait and Posture (IF=2.347)
  7. Lee, S., L. Al-Kaabi, A. Mawart, A. Khandoker, H. Alsafar, H. F. Jelinek, K. Khalaf, J.-H. Park and Y.-C. Kim (2017). Ultrasound-Mediated Drug Delivery by Gas Bubbles Generated from a Chemical Reaction. Journal of Drug Targeting, 1-30.
  8. Jelinek, H.F., Spence, I., Cornforth, D.J., Tarvainen, M.P. and Russell, J. (2017) Depression and cardiac dysautonomia in eating disorders. Eating and Weight Dis (Online) DOI :10.1007/s40519-017-0363-3 (IF=1.254)
  9. Jelinek, H.F. and Kelarev, A.V. (2017) A survey of data mining methods for automated diagnosis of cardiac autonomic neuropathy progression. AIMS Med Sci 3(2):217-33. doi: http://dx.doi.org/10.3934/medsci.2016.2.217.
  10. Huda, S., Yearwood, J., Jelinek, H.F., Hassan, M.M., Fortino, G. and Buckland, M. (2017) A hybrid feature selection with ensemble classification for imbalanced data: a case study for brain tumor diagnosis. IEEE Access. 4:9145-9154. (IF=3.557) doi:10.1109/ACCESS.2016.2647238.
  11. Jelinek, H.F., Cornforth, D.J. and Kelarev, A.V. (2017) Advanced clustering method for neurological assessment using graph models. International Journal of Computer and Software Engineering. 1:109. https://doi.org/10.15344/2456-4451/2016/109 (IF= 0.36)
  12. Butkowski, E. Al-Aubaidy, H.A. and Jelinek, H.F. (2017) Interaction of homocysteine, glutathione and 8-hydroxy-2ˊ-deoxyguanosine in metabolic syndrome progression. Clin Biochem 50 (3), 116-120(IF=2.382)
  13. Chowdhury, M., Abawajy, J., Jelinek, H.F., Kelarev, A. and Ryan, J. (2016) Matrix constructions of centroid sets for classification systems. Filomat. Vol.30:2397-2403. (IF=0.638)
  14. Jelinek, H.F., Adam, M.T.P. Krones. R. and Cornforth, D.J (2017) Diagnostic accuracy of random ECG in primary care for early, asymptomatic cardiac autonomic neuropathy. Journal of Diabetes Science and Technology. (Online) (2017):1932296817703670. doi: 10.1177/1932296817703670.
  15. Azzam, S.K., Osman, W. M., Lee, S.M., Khalaf, K., Khandoker, A.H., Almahmee, W., Jelinek, H.F. and Al Safar H.S. (2017) Genetic Associations with Diabetic Retinopathy and Coronary Artery Disease in Emirati Patients with Type-2 Diabetes Mellitus. Diab Res Clin Pract (IF=3.639) (submitted)
  16. Khandoker, A. H., Luthra, V., Abouallaban, Y., Saha, S., Ahmed, K. I. U., Mostafa, R., …. Jelinek, H. F. (2017). Suicidal ideation is associated with altered variability of fingertip photo-plethysmogram signal in depressed patients. Frontiers in Physiology, 8(JUL), [501]. DOI: 10.3389/fphys.2017.00501
  17. Jelinek, H.F., Cornforth, D.J., Tarvainen, M.P., Lam, S., Spence, I. and Russell, J. (2017) Heart rate variability response to orthostatic challenge in anorexia nervosa. J Metab Syndr
  18. Allami, R., Stranieri, A., Balasubramanian, V., & Jelinek, H. F. (2017). ECG Reduction for Wearable Sensor. In Proceedings - 12th International Conference on Signal Image Technology and Internet-Based Systems, SITIS 2016 (pp. 520-525). [7907515] IEEE, Institute of Electrical and Electronics Engineers. DOI: 10.1109/SITIS.2016.88)
  19. Zhou, Y., Jelinek, H., Hambly, B. D., & McLachlan, C. S. (2017). Electrocardiogram QRS duration and associations with telomere length: A cross-sectional analysis in Australian rural diabetic and non-diabetic population. Journal of Electrocardiology. DOI: 10.1016/j.jelectrocard.2017.02.010
  20. Lee, Y. Y. L., Zhou, Y., Jelinek, H. F., Hambly, B. D., & McLachlan, C. S. (2017). The association of uncoupling protein 2 (UCP2) exon 8 insertion/deletion polymorphism and ECG derived QRS duration: A cross-sectional study in an Australian rural population. International Journal of Cardiology, 228, 507-510. DOI: 10.1016/j.ijcard.2016.11.100
  21. Khandoker, A. H., Luthra, V., Abouallaban, Y., Saha, S., Ahmed, K. I., Mostafa, R., ... Jelinek, H. F. (2017). Predicting depressed patients with suicidal ideation from ECG recordings. Medical and Biological Engineering and Computing, 55(5), 793-805. DOI: 10.1007/s11517-016-1557-y
  22. Jelinek, H. F., Osman, W. M., Khandoker, A. H., Khalaf, K., Lee, S., Almahmeed, W., & Alsafar, H. S. (2017). Clinical profiles, comorbidities and complications of type 2 diabetes mellitus in patients from United Arab Emirates. BMJ Open Diabetes Research and Care, 5(1), [e000427]. DOI: 10.1136/bmjdrc-2017-000427
  23. Butkowski, E., & Jelinek, H. (2017). Hyperglycaemia, oxidative stress and inflammatory markers. Redox Report, 1-8. DOI: 10.1080/13510002.2016.1215643
  24. Khandoker, A. H., Al-Angari, H. M., Khalaf, K., Lee, S., Almahmeed, W., Al Safar, H. S., & Jelinek, H. F. (2017). Association of diabetes related complications with heart rate variability among a diabetic population in the UAE. PLoS One, 12(1), 1-16. [e0168584]. DOI: 10.1371/journal.pone.0168584
  25. 2016

  26. Gupta, A., Jelinek. H.F. and Al-Aubaidy, H. (2016) Glucagon like peptide-1 and its receptor agonists: Their roles in management of Type 2 diabetes mellitus. Diab & Metab Syndr: Clin Res Rev. (online http://dx.doi.org/10.1016/j.dsx.2016.09.003
  27. Abawajy, J., Kelarev, A., Chowdhury, M.U. and Jelinek, H.F. (2016) Enhancing predictive accuracy of cardiac autonomic neuropathy using blood biochemistry features and iterative multitier ensembles. IEEE J Biomed Hlth Inform. 20(1):408-415. (IF=2.072)
  28. Jelinek, H.F., Stranieri, A. Yatsko, A. and Venkatraman, S. (2016) data analytics identify glycated haemoglobin co-markres for type 2 diabetes mellitus diagnosis. Comp Biol Med 75:90-97.
  29. Marzbanrad, F., Khandoker, A.H., Hambly, B.D., Ng, E., Tamayo, M., Lu, Y., Matthews, S., Karmakar, C., Palaniswami, M., Jelinek, H.F. and McLachlan, C. (2016). Methodological comparisons of heart rate variability analysis in patients with type 2 diabetes and angiotensin converting enzyme polymorphism. IEEE J Biomed Health Inform 20(1): 55-63. (IF=2.072)
  30. Kaspar, F., Jelinek, H.F., Perkins, S.E., Al-Aubaidy, H.A., de Jong, B. A. and Butkowski, E. (2016) Acute Phase Inflammatory Response to Single-Bout HIIT and Endurance Training: A Comparative Study. Mediators of Inflammation. (http://dx.doi.org/10.1155/2016/5474837) ( (IF=3.236)
  31. Voigt, A. and Jelinek, H.F. (2016) Humanin: a Mitochondrial Signaling Peptide as a Biomarker for Impaired Fasting Glucose Related Oxidative Stress. Physiol. Reports Vol.4(9):e12796 (DOI:10.14814/phy2.12796)
  32. Stranieri, A., Yatsko, A., Jelinek, H. F. & Venkatraman, S. (2016). Data-analytically derived flexible HbA1c thresholds for type 2 diabetes mellitus diagnostic. Artifical Intelligence Research.Vol.5(1):111-134. doi: 10.5430/air.v5n1.111. (IF=1.257)
  33. Butkowski, E., Brix, L., Al-Aubaidy, H.A., Kiat. H. and Jelinek, H.F. (2016) Antidiabetic, antihypertensive and statin medication use in metabolic syndrome.International Journal of Pharmaceutical Sciences and Developmental Research (Int J Pharm Sci Dev Res). Vol.1(1):021-026
  34. Butkowski, E., Brix, L.M., Kiat, H., Al-Aubaidy, H.A., Jelinek, H.F. (2016) Diabetes, oxidative stress and cardiovascular risk. Basic Research Journal of Medicine and Clinical Sciences Vol.5(1):  ISSN 2315-6864
  35. Curtis, B., Retchford, T., Khalaf, K. and Jelinek, H.F. (2016) Acute effects of neural mobilization and static hamstring stretching on multi-joint flexibility in a group of young adults. J Novel Physiother 6:283. (doi:10.4172/2165-7025.1000283)
  36. Andronache, I.C., Ahammer, H., Jelinek, H.F., Peptenatu, D., Ciobotaru, A-M., Draghici, C.C., Pintilii, R.D., Simion, A.G. and Teodorescu, C. (2016) Fractal analysis for studying the evolution of forests. Chaos, Solitons and Fractals. Vol.91:310-318. (IF=1.448)
  37. Chowdhury, M., Abawajy, J., Kelarev, A.V. and Jelinek H.F. (2016) A clustering-based multi-layer distributed ensemble for neurological diagnostics. IEEE Trans Cloud Comp. Vol.4(2) (ISSN:2168-7161; IF=1.473)
  38. Fabrègue, F., Butkowski, E., Voigt, A., Mouquot, G., de Jong, B.A., Stachowiak, F. and Jelinek, H.F. (2016) Inflammatory biomarker association with mild cognitive decline.  J. Alzheimers Dis & Parkinsonism 6(237). doi: 10.4172/2161-0460.1000237) (IF=2.887)
  39. Butkowski, E. and Jelinek, H.F. (2016) Hyperglycaemia, oxidative stress and inflammatory markers. Redox Rep. DOI:10.1080/13510002.2016.1215643 (IF=1.522)
  40. El Hajj Chehadeh, Sarah W., Jelinek, H.F., Al Mahmeed, Wael A., Tay, Guan K., Odama, Unini O., Elghazali,Gehad E.B. and Al Safar, Habiba S.(2016) Relationship between MTHFR C677T and A1298C gene polymorphisms and complications of type 2 diabetes mellitus in an Emirati population. MetaGene Vol.9:70-75 (IF=1.27)
  41. Jelinek, H.F., Tarvainen, M.P., Cornforth, D.J., Spence, I., and Russell, J. (2016) Does a 6-weeks Treatment Program Improve HRV in Eating Disorder Patients? J Med Diagn Meth 5:211. doi:10.4172/2168-9784.1000211
  42. 2015

  43. Jelinek, H.F., Abawajy, J.H., Cornforth, D.J., Kowalczyk, A., Negnevitsky, M., Chowdhury, M.U., Krones, R. and Kelarev, A.V. (2015) Multi-layer attribute selection and classification algorithm for the diagnosis of cardiac autonomic neuropathy based on HRV attributes. AIMS Medical Science Vol.2(4):396-409. (DOI: 10.3934/medsci.2015.4.396)
  44. De Silva D, Burstein F, Jelinek HF, and Stranieri A. (2015) Addressing the Complexities of Big Data Analytics in Healthcare: The Diabetes Screening Case. Australasian Journal of Information Systems Vol.19: S99-S115 (IF=0.04)
  45. Pires, R., Avila, S., Jelinek, H.F., Wainer, J., Valle, E. and Rocha, A. (2015) Beyond lesion-based diabetic retinopathy: a direct approach for referral. IEEE-JBHI, Vol.90. doi: 10.1109/jbhi.2015.2498104. (IF=2.023)
  46. Cornforth, D.J. and Jelinek, H.F. (2014) Atypical cardiac autonomic neuropathy identified with entropy measures. Cardiology and Angiology. Vol3(1):1-11. (ISSN: 2347-520X; DOI: 10.9734/CA/2015/12524)
  47. Witzel, I.I., Jelinek, H.F., Khalaf, K., Lee, S.M., Khandoker, A.H. Al-Safar, H. (2015) Identifying common genetic risk factors of diabetic neuropathies. Front. Endocrinol. May-28;6.
  48. Jelinek, H.F. Yatsko, A., Stranieri, A. and Venkatraman, S. (2014) Diagnostic with incomplete nominal / discrete data. Artifical Intelligence Research. Vol.4(1):22-35. (DOI: 10.5430/air.v4n1p22) (IF=1.257)
  49. Cornforth, D.J., Jelinek, H.F., andTarvainen, M. (2014) A Comparison of Nonlinear Measures for Detection of Cardiac Autonomic Neuropathy from Heart Rate Variability. Entropy. Vol.17(3):1425-1440 (ISSN 1099-4300) (IF = 1.74)
  50. Leng, Y.L.Y., Zhou, Y., Ke, H., Jelinek, H.F., McCabe, J., Assareh, H. and McLachlan, C. 2015. Electrocardiogram derived QRS duration >120 ms is associated with elevated plasma homocysteine levels in a rural Australian cross-sectional population. Medicine 94 (27):e1080. doi: 10.1097/MD.0000000000001080. (IF=5.7)
  51. Khalaf, K., Jelinek, H.F., Robinson, C., Cornforth, D.J., Tarvainen, M.P. and Al-Aubaidy, H. (2015) Complex nonlinear autonomic nervous system modulation link cardiac autonomic neuropathy and peripheral vascular disease. Frontiers in Physiology: Physiology and Network Science. Front. Physiol. 6:101. doi: 10.3389/fphys.2015.0010 (IF=4.031)
  52. Karperien, A. and Jelinek, H.F. (2015) Fractal, multifractal and lacunarity analysis of microglia in tissue engineering. Frontiers in Bioengineering and Biotechnology. 3: 10.3389/fbioe.2015.00051.
  53. Jelinek, H.F., Khalaf, K., Robinson, C., McDonald, S., Butkowski, E. and Al-Aubaidy, H.A. and Wild, T. (2015) Oxidative stress and inflammation associated with decreased fibrinolysis as an early marker for peripheral vascular disease stratification: A clinical study. Wound Medicine. Vol.8:24-30.
  54. Maschirow, L., Khalaf, K. and Jelinek, H.F. (2015)Inflammation, coagulation, endothelial dysfunction and oxidative stress in prediabetes – biomarkers as a possible tool for early disease detection for rural screening. Clinical Biochemistry. Vol.48:581-585.https://www.ncbi.nlm.nih.gov/pubmed/25753569.(IF =2.74)
  55. Jelinek, H.F., Karmakar, C., Kiviniemi A.M., Hautala A.J., Tulppo M.P., Mäkikallio T.H., Huikuri H.V., Khandoker, A.H. and Palaniswami, M. (2015) Temporal dynamics of the circadian heart rate following low and high volume exercise training in sedentary male subjects.Eur J Appl Physiol.  (DOI 10.1007/s00421-015-3185-x, ISSN: 1439-6319; IF= 2.298)
  56. Pires, R., Carvalho, T., Spurling, G., Goldstein, S., Wainer, J., Luckie, A., Jelinek, H. F. and Rocha, A. (2015) Automated retinal image analysis for Indigenous health care. PlosONE 10 (6):e0127664. doi: 10.1371/journal.pone.0127664.(IF = 3.53)
  57. Imam, M.H., Karmakar, C.K., Khandoker, A.H., Jelinek, H.F., and Palaniswami, M. (2015) Detecting subclinical diabetic autonomic neuropathy by analyzing ventricular repolarization dynamics. IEEE Journal of Biomedical Health Informatics (JBHI). Apr 24 (ahead of print) (IF=2.023)
  58. Imam, M.H., Karmakar, C.K., Khandoker, A.H., Jelinek, H.F. and Palaniswami, M. (2015) Analysing systolic-diastolic interval interaction characteristics in diabetic cardiac autonomic neuropathy progression. IEEE Journal of Biomedical Health Informatics (JBHI) Vol.3. DOI: 10.1109/JTEHM.2015.2462339. (IF = 2.023)
  59. Mayrhofer-Reinhartshuber, M., Cornforth, D.J., Ahammer, H. and Jelinek H.F. (2015) Multiscale analysis of tortuosity in retinal images using wavelets and fractal methods. IEEE Pattern Recognition Letters. (DOI: http://dx.doi.org/10.1016/j.patrec.2015.09.004) (IF = 1.551)
  60. Conference papers refereed

    2018

  61. Stranieri, A., Yatsko, A., Venkatraman, S. and Jelinek, H.F. (2017) Data analytics to select markers and cut-off values for clinical scoring. Australasian Workshop on Health Informatics and Knowledge Management - HIKM ACM, New York. (ISBN 978-1-4503-5436-3/18/01; DOI10.1145/3167918.3167931)
  62. 2017 Maleki, S., Marzbanrad, F., Warner P. and Jelinek, H.F. (2017) Use of heart rate variability infographies in identification of depression status complementing the Patient Health Questionnaire-9, IEEE Life Sciences Conference (LSC), Sydney, NSW, 2017, pp. 133-136. doi: 10.1109/LSC.2017.8268161
    URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8268161&isnumber=8268126

    1. Abdalrada, A.S., Abawajy, J., Chowdhury, M., Rajasegarar, S., Al-Quraishi, T. and Jelinek, H.F. (2017) Meta Learning Ensemble Technique for Diagnosis of Cardiac Autonomic Neuropathy Based on Heart Rate Variability Features. 30th International Conference on Computer Applications in Industry and Engineering (CANE), San Diego, California, October 2-4, 2017. Pages 169-175 (ISBN: 978–1–943436–08–8)
    2. Miloševic, N.T., Di Ieva, A., Jelinek, H.F. and Rajkovic, N. (2017) eds. Dumitrache, I. and Florea, A.M. Box-Counting Method in Quantitative Analysis of Images of the Brain. 21st International Conference on Control Systems and Computer Science (CSCS 2017); p343-349. Publisher
    3. Carricarte-Naranjo, C., Cornforth, D.J., Sanchez-Rodriguez, L.M., Brown, M., Estévez, M., Machado, A. and Jelinek, H.F.(2017) Rényi and permutation entropy analysis for assessment of cardiac autonomic neuropathy. In: Eskola, H., Väisänen, O., Viik, J. and Hyttinen, J. eds. EMBEC 2017 & NBC 2017. Tampere, Finland. Vol.65:755-758. Springer Verlag, Berlin. ISBN: 9789811051210. DOI: 10.1007/978-981-10-5122-7_189
    4. Marzbanrad, F., Karmakar, C.K., Khandoker, A.H., Palaniswami, M., Moritani, T. and Jelinek, H.F. (2017) The influence of pharmacological autonomic blockades on multi-scale measures of heart rate variability. In: Eskola, H., Väisänen, O., Viik, J. and Hyttinen, J. eds. EMBEC 2017 & NBC 2017. Tampere, Finland. Vol.65:462-465. Springer Verlag, Berlin. ISBN: 9789811051210. DOI:10.1007/978-981-10-5122-7_116
    5. Whitsed, R., Horta, A. and Jelinek, H.F. (2017) Assessing representativeness of a rural Australian clinical database using a spatial modelling approach. In: Eskola, H., Väisänen, O., Viik, J. and Hyttinen, J. eds. EMBEC 2017 & NBC 2017. Tampere, Finland. Vol.65:932-935. Springer Verlag, Berlin. ISBN: 9789811051210. DOI: 10.1007/978-981-10-5122-7_233.
    6. Allami, R., Stranieri, A., Marzbanrad, F., Balasubramanian, V. and Jelinek, H.F. (2017) Atrial fibrillation analysis for real time patient monitoring. Computing in Cardiology, Rennes, France. Vol.44: http://www.cinc.org/archives/2017/pdf/118-272.pdf
    7. Whitsed, R., Horta, A. Marzbanrad, F. and Jelinek, H.F. (2017) Spatial characterisation of hypertension clusters using a rural Australian clinical database. Computing in Cardiology, Rennes, France. Vol. 44: http://www.cinc.org/archives/2017/pdf/327-065.pdf

    2016

    1. Jelinek, H.F., Tarvainen, M.P., Cornforth, D.J., Spence, I., and Russell, J. (2016) Socioeconomic status, age and heart rate variability in a Bangladeshi community. EMBC Florida, p.5382-5385.
    2. Zarnegar, A., Vamplew, P., Starnieri, A. and Jelinek, H.F. (2016) A heuristic gene regulatory networks model for cardiac function and pathology. Computing in Cardiology, Vancouver 2016. Vol.43. DOI:10.22489/CinC.2016-101-135.
    3. Khandoker, A.H., Luthra, V., Abouallaban, M.A., Chowdhury, H.N. and Jelinek, H.F. (2016) Reduced QT variability and increased QT/RR slope in ECG signals of depressed patients with suicidal ideation. Computing in Cardiology, Vancouver 2016. Vol.43. DOI:10.22489/CinC.2016.114-190.
    4. Venkatraman, S., Yatsko, A., Stranieri, A. and Jelinek, H.F. (2016) Missing data imputation for individualized CVD diagnostic and treatment. Computing in Cardiology, Vancouver. Vol.43. DOI:10.22489/CinC.2016100-135.
    5. Cornforth, D.J. and Jelinek, H.F. (2016) Detection of congestive heart failure using Renyi entropy. Computing in Cardiology, Vancouver 2016. Vol.43. DOI:10.22489/CinC.2016.196-231.
    6. Al-Lami, R., Stranieri, A., Balasubramanian, V. and Jelinek, H.F. (2016) A genetic algorithm-neural network wrapper approach for bundle branch block detection. Computing in Cardiology, Vancouver 2016. Vol.43. DOI:10.22489/CinC.2016.132-174.
    7. Jelinek, H.F., Cornforth, D.J. and Kelarev, A. (2016) Heart rate variability diagnostics using graph-based consensus clustering. AITIC University of Newcastle (in print).

    2015

    1. Jelinek, H.F., Tarvainen, M.P., Cornforth, D.J., Spence, I., and Russell, J. (2015) Is a short re-feeding program effective in reducing adverse cardiac events in eating disorder patients? Computing in Cardiology 2015, Nice, France. Vol.42:985-987. (ISSN 2325-8861)
    2. Jelinek, H.F.Karmakar, C.,Kiviniemi, A.M., Tulppo, M.P., Mäkikallio, T.H., Hautala, A.L., Huikuiri, H.V., Khandoker, A.F., Palaniswami, M.  (2015)Changes in Heart Rate Circadian Rhythm following Exercise in Middle-Aged MenComputing in Cardiology 2015, Nice, France. Vol.42:1053-1056. (ISSN 2325-8861)
    3. Perkins, S., Jelinek, H.F., Cornforth, D.J., Tarvainen, M.P., de Jong, B. and Al-Aubaidy, H.A. (2015) Multiscale Renyi for determining acute effect of endurance training versus High Intensity Training in young adults. Computing in Cardiology 2015, Nice, France. Vol.42:1025-1028. (ISSN 2325-8861)
    4. Khandoker. A.H, Luthra, V. Abouallaban, Y., Saha, S. Ahmed, K.I. Mostafa, R., Chowdhury, N.and Jelinek, H.F. (2015) Reduced Variability in Pulse Wave Velocity in Depressed Patients with Suicidal Ideation. Computing in Cardiology 2015, Nice, France. Vol.42:1061-1064. (ISSN 2325-8861)
    5. Karmakar, C., Jelinek, H.F., Khandoker, A., Tulppo, M., Mäkikallio, T., Kiviniemi, A., Huikuri, H. and Palaniswami, M. (2015) Multi-Lag HRV analysis discriminates disease progression of post-infarct people with no diabetes versus diabetes. Engineering in Medicine and Biology 2015, Milan, Italy. Aug;2015:2367-70. doi: 10.1109/EMBC.2015.7318869.
    6. Jelinek, H.F., Cornforth, D.J., Tarvainen, M.P. and Milosevic, N. (2015) Multiscale entropy and cardiac autonomic neuropathy. The 7th International Workshop on Interdisciplinary Approches in Fractal analysis (IAFA 2015), International Conference on Control Systems and Computer Science (CSCS 20). p.545-547. (DOI 10.1109/CSCS.2015.148)

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Community Engagement

Dr Jelinek primarily contributes to providing a diabetes and cardiovascular health screening research program for rural communities. He offers an all-in-one, one-stop diabetes screening opportunity to the Border (Albury-Wodonga) community He is currently working in the UAE investigating depression, diabetes and cardiovascular disease in Emirati and Bedouin populations.

Memberships and Affiliations
  • IEEE Enginering in Biology and Medicine Society
  • Australian Diabetes Association

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