The field of biomedical engineering has contributed immensely to human healthcare systems since ancient times. In present times, medical instrumentation systems include cardiac pacemakers, heart-lung machines, dialysis machines, automatic disease diagnostic equipment, imaging technologies of various kinds, artificial organs, implants and advanced prosthetics.
Currently, most research activities conducted are on the analysis of different medical images, medical imaging modalities, computer-assisted electrocardiography, heart rate variability and tele-medicine and tele-healthcare systems design.
Heart rate variability analysis (both linear and non-linear) is one of the growing fields of research for the prognosis of cardiac ailments. Linear methods have inherent shortcomings, due to which the prognosis accuracy percentage remains low. Recent advances in nonlinear methods have potential to enhance this prognosis accuracy.
Similarly, in medical image processing, the image enhancement, characteristic parameter identification and efficient classification of image data are the current issues which need to be addressed, thereby leading to effective disease diagnostics using radiographic techniques.
Suitable topics include but are not limited to:
- Biomedical signals:
- ECG signal analysis
- ECG wave component detection
- Heart rate variability analysis using linear and non-linear methods
- Cardiac disease classification
- EEG signal analysis
- ECG and EEG correlation studies
- Evoked potentials
- Bio-signal modelling
- Brain-computer interface
- Bio signal compression
- Medical images:
- Image enhancement
- Region of interest identification and segmentation
- Computer-assisted image classification for disease diagnostics
- Novel signal processing techniques for medical image processing
Submission of manuscripts: 12 April, 2013 (extended)