• Ayappan G
• Anila S

Biomedical signals plays a pivotal role in the detection of future disease and technology scaling has resulted in the development of novel applications in the medical fields. In the past decade, rapid advancements in the development of low power design methodologies have resulted in feasible designs for various wearable and implantable medical systems. These systems monitor various internal as well as external parameters related to the human health, such as temperature, heart rate and so on. Apart from these parameters, it is well known that acoustic symptoms such as cough, sneeze, belching and so on, are early markers of serious health issues such as influenza, diarrhea, and whooping cough, especially among children. A different algorithm is used to detect symptomatic patterns in human acoustic nonspeech signals. These include audio recordings of cough, sneeze, belch, wheeze and vomit patterns. These five human nonspeech audio tracks are selected, because they are the most commonly observed signals. In this paper different algorithms and acoustic nonspeech signals are explained.

Acoustic nonspeech signals, short-time fourier transform, wavelet, resolution, signal processing, discrete wavelet

"A survey on audio biological signal Processing", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 6, page no.176-179, June-2018, Available :http://www.jetir.org/papers/JETIR1806148.pdf

"A survey on audio biological signal Processing", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 6, page no. pp176-179, June-2018, Available at : http://www.jetir.org/papers/JETIR1806148.pdf