Peak Detection for Portable Multi-modal Nano-bio Sensor System

Sensitive and selective sensor systems are required to detect causes of disease. We outline the conceptual foundations of the novel approach to sensing based on multi-modal processing of signals of nano-bio sensors. Multi-modal sensing scheme can relax constraints of detecting conditions. It is able to detect the cause of the disease more effectively than single mode of sensor. Some peak detection algorithms which are suitable for portable system 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 with low cost processor.

[1]  Martin Wolf,et al.  An Efficient Algorithm for Automatic Peak Detection in Noisy Periodic and Quasi-Periodic Signals , 2012, Algorithms.

[2]  A. L. Jacobson,et al.  Auto-threshold peak detection in physiological signals , 2001, 2001 Conference Proceedings of the 23rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[3]  N. Dilbaghi,et al.  Biosensors as innovative tools for the detection of food borne pathogens. , 2011, Biosensors & bioelectronics.

[4]  Louis Tiefenauer,et al.  Localization of individual biomolecules on sensor surfaces , 1998 .

[5]  Richard O. Duda,et al.  Pattern classification and scene analysis , 1974, A Wiley-Interscience publication.

[6]  Robert Langer,et al.  Small-scale systems for in vivo drug delivery , 2003, Nature Biotechnology.

[7]  Bryan S. Todd,et al.  The Identification of Peaks in Physiological Signals , 1999, Comput. Biomed. Res..