An Overview of Breath Phase Detection – Techniques & Applications


  • R. Palaniappan College of Engineering, AMA International University, Kingdom of Bahrain
  • K. Sundaraj Universiti Teknikal Malaysia Melaka (UTeM), Malaysia
  • F. G. Nabi Universiti Malaysia Perlis (UniMAP), Malaysia


Breath Phase, Breath Sounds Detection, Respiratory Rate, Respiratory Sounds,


The main aim of this study is to provide an overview on the state of the art techniques (acoustic and nonacoustic approaches) involved in breath phase detection and to highlight applications where breath phase detection is vital. Both acoustic and non-acoustic approaches are summarized in detail. The non-acoustic approach involves placement of sensors or flow measurement devices to estimate the breath phases, whereas the acoustic approach involves the use of sophisticated signal processing methods on respiratory sounds to detect breath phases. This article also briefly discusses the advantages and disadvantages of the acoustic and non-acoustic approaches of breath phase detection. The literature reveals that recent advancements in computing technology open avenues for researchers to apply sophisticated signal processing techniques and artificial intelligence algorithms to detect the breath phases in a non-invasive way. Future works that can be implemented after detecting the breath phases are also highlighted in this article.




How to Cite

Palaniappan, R., Sundaraj, K., & Nabi, F. G. (2018). An Overview of Breath Phase Detection – Techniques & Applications. Journal of Telecommunication, Electronic and Computer Engineering (JTEC), 10(2-7), 33–36. Retrieved from

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