The mission of Biomedical Signal Processing (BioS) Laboratory is to strengthen biomedical research and development in Thailand to improve the health of individuals and communities. The laboratory's research objectives are to:
- Develop innovative techniques of signal processing for computational processing, analysis, understanding, and classification of biomedical signals and data.
- Contribute to the regional needs of Thailand. The research primarily focuses on clinical projects in which the extracted information can help physicians make better critical decisions and improve patient outcome.
Our Current Research Topics
Biomedical Signal Processing
We aim at extracting useful information from biomedical signals (e.g. EEG, ECG) by means of various signal processing techniques such as blind source separation, wavelets transform, support vector machine, Principal Component Analysis.
Biomedical Image Processing
We develop image processing algorithm as image segmentation, feature extraction and classification for biomedical applications. The ongoing project is an image-based Malaria detection system where we utilizes image processing algorithms to detect the infected red blood cells in thin blood smears. The images of blood cells are analyzed based on the shape, color and other characteristics to identify Plasmodium species.
Genomic Signal Processing
We work closely with the Genome Institute, BIOTEC (https://gi.biotec.or.th/GI) to develop advance algorithms to decipher genotype-phenotype correlation in order to understand interaction complexities. Applications is generally directed towards broad areas as population analysis, disease gene-mapping, preventive medicine, individualized medicine, food productivity, animal health and productivity.
Medical ultrasound system
Due to the huge demand in the using of medical ultrasound devices, the research in medical ultrasound should be more strengthen in Thailand. In order to develop our own technology, a PC-based ultrasound system is proposed to provide good image quality while being much smaller in size and lower in cost than conventional systems. We work closely with local universities to design front-end hardware. We also have strength in devising advanced data acquisition methods and signal processing strategies for both B-mode imaging and Doppler ultrasound.
