JBET aims to advance and foster cutting edge research in the multi-disciplinary area of biomedical engineering and technology. Medical science is rapidly incorporating advances in science and technology that are combining to produce more accurate diagnoses, more effective treatments with fewer side effects, and improved ability to prevent disease and provide superior quality healthcare. One of the fields central to this endeavour is biomedical engineering and technology.Biomedical engineering and technology is a multi-disciplinary field that provides a synthesis of physical, chemical, mathematical, and computational sciences combined with engineering principles to enhance research and developments in biology, medicine, behaviour, and health. It advances fundamental concepts; creates knowledge from the molecular to the organ systems level; and develops innovative biologics, materials, processes, implants, devices and informatics approaches for the prevention, diagnosis, and treatment of disease, for patient rehabilitation, and providing an overall enhancement of healthcare.
Journal of Biomedical Engineering and Technology ISSN 2072-1447 is Published in 4 issues per year by Engineering Technology Press.
Suitable topics for submission include but are not limited to the following areas:
Artificial organs (hearing aids, cardiac pacemakers, artificial kidneys and hearts, blood oxygenators, synthetic blood vessels, joints, arms, and legs).
Automated patient monitoring (during surgery or in intensive care, healthy persons in unusual environments, such as astronauts in space or underwater divers at great depth)
Advanced therapeutic and surgical devices (laser system for eye surgery, automated delivery of insulin, etc.)
Application of expert systems and artificial intelligence to clinical decision making (computer-based systems for diagnosing diseases)
Biomaterials design (mechanical, transport and biocompatibility properties of implantable artificial materials)
Biomechanics of injury and wound healing (gait analysis, application of growth factors, etc.)
Blood chemistry sensors (potassium, sodium, O 2 , CO 2 , and pH)
Computer modelling of physiologic systems (blood pressure control, renal function, visual and auditory nervous circuits, etc.)
Design of optimal clinical laboratories (computerised analyzer for blood samples, cardiac catheterization laboratory, etc.)
Medical imaging systems (ultrasound, computer assisted tomography, magnetic resonance imaging, positron emission tomography, etc.)
Sports medicine (rehabilitation, external support devices, etc.)