Calendar

Biosignal

Neurophysiological Signal Processing and Instrument

The research focuses on the application of engineering and physical science principles to human biosignals.

The primary aim of the research is to use signal analysis methods as diagnostic indicators of clinical problems by addressing two key issues:

a) understanding the physiology of human cardiovascular and locomotor control in a variety of clinical diagnostic settings and

b) developing innovative  physiological measurement techniques by using biosignal processing, computational intelligence and low cost instrumentation technology.

Diagnosis of foetal heart abnormalities

Abstract: Human health in the developing foetus is critical to the future well-being of the adult. In collaboration with Graduate School of Medicine at Tohoku University in Japan, I am developing a novel non-invasive system to automatically recognize the timings of foetal cardiac events on the basis of analysis of electrical (fetal ECG) and mechanical (Doppler ultrasound signals) heart activity together to enable obstetricians to detect an early stage of prenatal cardiac dysfunction. I have also investigated how fetal and maternal heart rates are coupled in terms of phases and timing. My current plan is to develop a UAE population-specific screening model to improve the preventative health care for saving lives at birth and reliable maternal care in the UAE. I believe my proposed technology will enable the development of easy-to-use systems for screening fetal well-being, reducing fetal deaths and the burden of congenital heart disease in adult life. This project will also provide domain trained researchers with cutting edge International academic and Clinical expertise in the UAE
Collaborators:
• Dr. Shihab Jimaa (ECE dept, Khalifa University)
• Dr Marimuthu Palaniswami ( Professor of Electrical Engineering, The University of Melbourne, Australia)
• Dr Yoshitaka Kimura (Professor of Obstetrics, Tohoku University Hospital, Japan)
• Dr Shamsa Al Awar (Chair of Ob/Gyn UAE University, UAE)
• Dr Farah Asghar (Consultant Obstetrician, Al Mafraq Hospital, Abu Dhabi, UAE)

Students:
Thuraia Al Khoori (Msc by Research), Khalifa University

Funding:
Khalifa University Internal Fund Level 2 (KUIRFL2) 2016-2018. PIs: Ahsan Khandoker, Shihab Jimaa
UAE University Internal Fund. PI: Shamsa Al Awar

2. Monitoring Safe Exercise

Abstract:
The primary goal for sports club for high-performance athletes in competitive sports is to deliver a well-controlled exercise program to ensure that the maximal performance is achieved at major competitions. At present there is no device that can be used to guide coaches in prescribing appropriate exercise strategies for individual athletes, and as a result, many adopt a trial-and error approach ending up with overexertion and overtraining related injuries. The aim of this project is to research and develop new methodologies and tools to monitor, control and evaluate safe exercise for athletes

Collaborators:
Dr. Hani Saleh (Electrical and Computer Engg, Khalifa University)

Students:
Dalia Attia (MSc in Electrical and Computer Engg), Khalifa University

Funding:
Qatar Foundation Challenge 22(2015-2016). PIs: Ahsan Khandoker, Hani Saleh


Developing novel models for clinico-biological patterns in depression

Abstract:
Depression is a real biological illness. According to the World Health Organisation, depression affects more than 350 million people of all ages worldwide, and by 2020, it will be the second leading cause of disability throughout the world after cardiovascular disease (CVD). About four to five per cent of the population suffers from clinical depression in the UAE. Mild depression cases account for about 15 per cent. Women in the UAE are more likely to suffer from depression or anxiety than those in other countries. Therefore this project addresses an important clinical problem (Major Depressive Disorder) by providing a model for early diagnosis and treatment. This is of particular value to the UAE society where the prevalence of depression is increasing.

Collaborators:
Dr Veena Luthra (Consultant Psychiatrist, American Center for Psychiatry and Neurology, Abu Dhabi, UAE)
Dr Yousef Abouallaban (American Center for Psychiatry and Neurology, Abu Dhabi, UAE)
Dr Khawza Ahmed (UIU University, Bangladesh)


Students:
None

Funding:
Khalifa University Internal Fund Level 1 (2014-2015). PIs: Ahsan Khandoker, Veena Luthra, Yousef Abouallaban
American Center for Psychiatry and Neurology, Abu Dhabi, UAE
United International University, Bangladesh