**3. Conclusions**

The current trend in biomedical engineering is to focus on development of algorithms that provide the healthcare provider, researcher and layperson with valuable biological data to aid in maintaining better health and automating the evaluation of bioelectric signals. The focus of this chapter provides a reminder to be aware of the environmental effects on any biologic signal and not to completely rely upon computers for automated analysis. Although the computer will definitively do a much better job in the future, there may be a variable not taken into consideration.

Additionally, it is important to always attempt to properly attach sensors to the body. By doing so, we increase the probability of obtaining a clean signal at the sensor/human interface such that the original signal is faithfully reproduced in digital format. With the proliferation of wireless technologies throughout the globe, the importance of preventing Electromagnetic Interference (EMI) from contaminating the biologic signal is of utmost importance.

The process of eliminating EMI is presented in the simple case study of a microphone, but the algorithm applied to resolving EMI issues with a microphone apply to all human bioelectric signals. It is the hope that this chapter provide some a different perspective that may aid the researcher and clinician in developing a methodology which leads to the cleanest, noise-free signal possible when gathering bioelectric signals.

*Protecting Bioelectric Signals from Electromagnetic Interference in a Wireless World DOI: http://dx.doi.org/10.5772/intechopen.105951*
