Herbert Jelinek received the B.Sc. (Hons.) degree in Human Genetics from the University of New South Wales, Sydney including a double major in Psychology, followed by a Graduate Diploma in Neuroscience from the Australian National University, Canberra, and his PhD. degree in Medicine from the University of Sydney, Australia in 1996. He previously worked at the School of Community Health, Charles Sturt University before joining Khalifa University where he led a diabetes complications research clinic for 20 years. His work concentrates on implementing technology for rural and remote diagnostics in chronic disease covering diabetes, cardiovascular disease and mental health. He has published over 400 papers, book chapters and conference proceedings in areas of CVD, depression, diabetes, eating disorders and diabetic associated complications as well as associated development of image and temporal data analysis algorithms and datamining / deep learning classification tools. His current research interests include cognitive decline in chronic disease, multimodal network physiology in association with brain function and the heart and how biofeedback / neurofeedback can be used mental health. He is a member of the IEEE Biomedical Engineering Society, the Applied Neuroscience Society of Australasia and the International Society for Neurofeedback and Research.
Neurofeedback and Biofeedback
Phsyical and mental chronic disease are not always successfully treated with medication. My research is investigating the use of neurofeedback and biofeedback in control of blood sugar levels, hypertension as well as chronic pain in oncology patients and patients with depression from the Dept of Psychiatry and Onclology. Neurofeedbck and biofeedback have been shown to be possibly efficacious for PTSD, autism spectrum disorder, depression and anxiety. This work will be in collaboration with Mediclinic Abu Dhabi. Brain – Heart interactions and multisignal analysis will be investigated as part of a project in the department of cardiology to determine stress levels in patients attending for PCI. In addition, in collaboration with the department of neurology, I am investigating coherence patterns of EEG in patient swith tension headache / migraine.
Effect of stroke on movement variability and stroke rehabilitation
Together with the Healthcare Engineering Innovation Center (HEIC) at Khalifa University and Clevland Clinic Abu Dhabi I am contributing to investigating the use of nonlinear measures in charactising gait changes due to stroke as well as balance variability and the influence on heart, brain and muscle function. Collaborators at KU include Assoc Prof. Kinda Khalaf, and Assoc Prof Ahsan Khandoker, together with a postdoctoral fellow and Masters students as well as specialists at Cleveland Clinic, Abu Dhabi UAE and international collaborators. Biosignal processing is part of the stroke research led by Dr Kinda Khalaf as part of HEIC, where various biosignals are recorded to aid in interpretation of gait anomalis in Stroke patients that can aid in the development of prothesis and better rehabilitation outcomes.
My interest is in identifying novel nonlinear measures for analysis of gait variables to characterise stroke and effect of lesion location. In addition, I am contributing to a noninvasive stroke rehabilitation based on neurofeedback. With this in mind I am developing a portable neurofeedback device.
