Identification of Basic Respiratory Patterns for Disease-related Symptoms Through a Microphone Device
by Amol M Khatkhate 1,* 
, Varad Raut 1, Madhura Jadhav 2, Shreya Alva 2, Kalpesh Vichare 1, Ameya Nadkarni 1
1 Department of Mechanical Engineering, Rizvi College of Engineering, Mumbai, 400050, India
2 Department of Biotechnology Engineering, Rizvi College of Engineering, Mumbai, 400050, India
* Author to whom correspondence should be addressed.
Journal of Engineering Research and Sciences, Volume 1, Issue 6, Page # 36-44, 2022; DOI: 10.55708/js0106005
Keywords: Respiratory patterns, Anti-snoring device, Breathing pattern, Sensor lab, Audio Pattern
Received: 26 February 2022, Revised: 03 May 2022, Accepted: 07 June 2022, Published Online: 27 June 2022
APA Style
Khatkhate, A. M., Raut, V., Jadhav, M., Alva, S., Vichare, K., & Nadkarni, A. (2022). Identification of Basic Respiratory Patterns for Disease-related Symptoms Through a Microphone Device. Journal of Engineering Research and Sciences, 1(6), 36–44. https://doi.org/10.55708/js0106005
Chicago/Turabian Style
Khatkhate, Amol M, Varad Raut, Madhura Jadhav, Shreya Alva, Kalpesh Vichare, and Ameya Nadkarni. “Identification of Basic Respiratory Patterns for Disease-related Symptoms Through a Microphone Device.” Journal of Engineering Research and Sciences 1, no. 6 (June 1, 2022): 36–44. https://doi.org/10.55708/js0106005.
IEEE Style
A. M. Khatkhate, V. Raut, M. Jadhav, S. Alva, K. Vichare, and A. Nadkarni, “Identification of Basic Respiratory Patterns for Disease-related Symptoms Through a Microphone Device,” Journal of Engineering Research and Sciences, vol. 1, no. 6, pp. 36–44, Jun. 2022, doi: 10.55708/js0106005.
The research in this paper focuses on the capture of respiratory patterns in real-time through a minor modification of an anti-snoring device that is readily available off the shelf or can be bought online and attaching a microphone to it. The audio pattern is recorded for the various lung conditions at different stages. The data recorded is generated in graphical form to understand the pattern. The setup for recording and generating data patterns is explained in the paper. The procedure for using the device and gathering data is mentioned in detail in this paper and sample raw data is presented for researchers. The purpose of this device is easy data collection and interpretation for self-diagnosis of the anomalies in the breathing pattern through audio data and display of the patterns in smartphone applications that can further be investigated by a physician.
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