Performance Comparison of Peak Detection Algorithm for Nano-Bio Sensors
Sensitive and selective sensor system is required to detect causes of disease. It is able to detect the cause of the disease more effectively by using multi-modal properties of nano-bio sensors. Nanotechnology composes a trend towards a group of emerging technique from physics and biology for the creation of new fangled nanostructures and manipulation of the matter at nano-scale. Some peak detection algorithms which are suitable for implementing with micro-controller are compared to apply to multi-modal nano-bio sensors in this paper. It is shown that auto-threshold peak detection is useful for portable nano-bio sensor system.