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In this project, a real-time low-power wireless respiratory monitoring system with cough detection is proposed to measure the breathing rate and the frequency of coughing. This system uses wearable wireless multimodal patch sensors, designed using low power off the shelf components. These wearable sensors use a low-power measurement unit to measure the respiratory frequency, and a MEMs microphone to perform cough detection. The architecture of the wireless patch-sensor is presented. The acquisition unit, the wireless communication unit and the data processing algorithms are described. The proposed network performance is presented for experimental tests with a freely behaving user.

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How to Cite
R. Sundaresan, T. Pooja, P. Jeevithapriya, S. Sneka, & G.M. Sowmithra. (2022). Wireless coughing detection and respiratory monitoring using a wearable DSP based mems sensor . International Journal of Intellectual Advancements and Research in Engineering Computations, 10(2), 54–58. Retrieved from