Analysis of FM CW-Radar signals to extract vital-sign information

Rathna, GN and Meshineni, D (2021) Analysis of FM CW-Radar signals to extract vital-sign information. In: 7th IEEE International Conference on Electronics, Computing and Communication Technologies, 9-11 Jul 2021, Bangalore.

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Abstract

The mm-wave FMCW-Radar can be used as a useful tool to extract vital-sign information such as breathing-rate and heart rate. The transmitted chirp from the radar interacts with the objects in its vicinity, reflected chirp contains information about object distance from radar and chest-cavity displacement. Due to the displacement in chest cavity because of breathing and heart rate, the chirp from the radar will reflect with different characteristics. Analysing this signal allows us to extract useful information. In this work, we aimed to convert the offline mode of data capturing and subsequent processing to real-time data visualization and processing. Both offline and realtime modes required different processing steps. Realtime processing was an extension to our previous work where an offline-processing algorithm was developed to calculate heart rate and breathing rate using unwrapped-phase data of the mm-wave FMCW-Radar data. We also compare ECG signal in the chosen dataset (available in reference 6) with radar data (available in reference 6) after processing. © 2021 IEEE.

Item Type:	Conference Paper
Publication:	Proceedings of CONECCT 2021: 7th IEEE International Conference on Electronics, Computing and Communication Technologies
Publisher:	Institute of Electrical and Electronics Engineers Inc.
Additional Information:	The copyright for this article belongs to Institute of Electrical and Electronics Engineers Inc.
Keywords:	Data handling; Data mining; Data visualization; Frequency modulation; Heart; Millimeter waves; Signal analysis, Breathing rate; FMCW radar; Heart-rate; Mm waves; Offline modes; Radar data; Radar signals; Real- time; Signal-processing; Vital sign, Continuous wave radar
Department/Centre:	Division of Electrical Sciences > Electrical Engineering
Date Deposited:	07 Feb 2022 12:20
Last Modified:	07 Feb 2022 12:20
URI:	http://eprints.iisc.ac.in/id/eprint/71277

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